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- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
Each section in your notebook can also contain \(\LaTeX\) equations, enabled through MathJax. In the following example, we illustrate some sample MathJax equations. (Rendering instructions, as well as detailed information about MathJax, can be found in this documentation.)
-
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
<cartopy.mpl.feature_artist.FeatureArtist at 0x7f6e4c370410>
+<cartopy.mpl.feature_artist.FeatureArtist at 0x7fe1488889b0>
<cartopy.mpl.feature_artist.FeatureArtist at 0x7f6e2db15820>
+<cartopy.mpl.feature_artist.FeatureArtist at 0x7fe170915a60>
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
/tmp/ipykernel_2535/2342439358.py:1: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
+/tmp/ipykernel_2515/2342439358.py:1: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
start = datetime.utcnow().replace(hour=22, minute=0, second=0, microsecond=0)
@@ -610,7 +610,7 @@ Creating the file and dimensions
-/tmp/ipykernel_2535/2008125275.py:5: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
+/tmp/ipykernel_2515/2008125275.py:5: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
nc.history = str(datetime.utcnow()) + ' Python'
@@ -651,7 +651,7 @@ Creating the file and dimensions
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1693,7 +1693,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
1714313060.0857208
+1715148371.5298655
time
The benchmark took 1.000241756439209 seconds
+The benchmark took 1.0002434253692627 seconds
6149
+6159
-I am time zone naive 2024-04-28 14:04:21.123333.
-I am time zone aware 2024-04-28 14:04:21.123359+00:00.
+I am time zone naive 2024-05-08 06:06:12.566725.
+I am time zone aware 2024-05-08 06:06:12.566752+00:00.
@@ -839,8 +839,8 @@ Full time zone support with the <
I am time zone naive: 2024-04-28 14:04:21.127492.
-I am time zone aware: 2024-04-28 08:04:21.137918-06:00.
+I am time zone naive: 2024-05-08 06:06:12.570974.
+I am time zone aware: 2024-05-08 00:06:12.581615-06:00.
The UTC time is April 28, 2024, 2:04PM.
-The 'US/Mountain' time is April 28, 2024, 8:04AM.
+The UTC time is May 08, 2024, 6:06AM.
+The 'US/Mountain' time is May 08, 2024, 12:06AM.
-/tmp/ipykernel_2556/3080495102.py:1: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
+/tmp/ipykernel_2539/3080495102.py:1: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
utc = dt.datetime.utcnow().replace(tzinfo=pytz.utc)
@@ -1243,7 +1243,7 @@ Resources and References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1372,7 +1372,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
We can change which colormap to use by setting the keyword argument cmap = 'colormap_name'
in the plotting function call. This sets the colormap not only for the plot, but for the colorbar as well. In this case, we use the magma
colormap:
<matplotlib.colorbar.Colorbar at 0x7fa7924746e0>
+<matplotlib.colorbar.Colorbar at 0x7f10314c9550>
-
+
You may be wondering why the call to fig.colorbar
uses the argument hist1[3]
. The explanation is as follows: hist1
is a tuple returned by hist2d
, and hist1[3]
contains a matplotlib.collections.QuadMesh
that points to the colormap for the first histogram. To make sure that both histograms are using the same colormap with the same range of values, vmax
is set to 0.18 for both plots. This ensures that both histograms are using colormaps that represent values from 0 (the default for histograms) to 0.18. Because the same data values are used for both plots, it doesn’t matter whether we pass in hist1[3]
or hist2[3]
to fig.colorbar
.
@@ -848,7 +848,7 @@
You’ll notice there is not a colorbar plotted by default. When constructing the colorbar, we need to specify the following:
@@ -930,7 +930,7 @@
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
F
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Tcuj4WGJsYxJZNyQKYozE/f8EWpeb8CXgEQOKNhI8mz49ILOpmNq74z97xPnpjEtcaDYYjrZcyOv
-94rv3S34xbWun6xGSKWAe+yU6yEjA4uPaRTDkdN7Uj6laE9jAQy61lwaN8fwnBqYMCEAAAvybW9v
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AAAAAAABAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAACxx0
cmFrAAAAXHRraGQAAAADAAAAAAAAAAAAAAABAAAAAAAAD6AAAAAAAAAAAAAAAAAAAAAAAAEAAAAA
@@ -3264,9 +3264,9 @@ Step 3: Using F
HAAAAeMAAAL7AAACNQAAAxYAAAHBAAAC3wAAAxQAAAN1AAABeAAAA4AAAAHIAAADAAAAAgsAAALe
AAABtAAAAyYAAAMxAAADjwAAAY0AAANlAAACDAAAArYAAAISAAADKAAAAaUAAAK/AAADHAAAA4kA
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+bwAAABxkYXRhAAAAAQAAAABMYXZmNjEuMS4xMDA=
">
Your browser does not support the video tag.
@@ -3629,7 +3629,7 @@ Additional Resources
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -3758,7 +3758,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/matplotlib/matplotlib-basics.html b/_preview/465/core/matplotlib/matplotlib-basics.html
index e37c60d2..0f5fca0f 100644
--- a/_preview/465/core/matplotlib/matplotlib-basics.html
+++ b/_preview/465/core/matplotlib/matplotlib-basics.html
@@ -79,7 +79,7 @@
-
+
@@ -1492,7 +1492,7 @@ Resources and References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1621,7 +1621,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/numpy.html b/_preview/465/core/numpy.html
index ab329c89..8122832f 100644
--- a/_preview/465/core/numpy.html
+++ b/_preview/465/core/numpy.html
@@ -81,7 +81,7 @@
-
+
@@ -760,7 +760,7 @@ NumPy
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -889,7 +889,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/numpy/intermediate-numpy.html b/_preview/465/core/numpy/intermediate-numpy.html
index 6f01acd9..7a14ba6a 100644
--- a/_preview/465/core/numpy/intermediate-numpy.html
+++ b/_preview/465/core/numpy/intermediate-numpy.html
@@ -81,7 +81,7 @@
-
+
@@ -1425,7 +1425,7 @@ Resources and references
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1554,7 +1554,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/numpy/numpy-basics.html b/_preview/465/core/numpy/numpy-basics.html
index 5254e620..dfe65c52 100644
--- a/_preview/465/core/numpy/numpy-basics.html
+++ b/_preview/465/core/numpy/numpy-basics.html
@@ -81,7 +81,7 @@
-
+
@@ -1168,7 +1168,7 @@ Indexing
Slices
-Slicing syntax is written as `array[start:stop:step]’. Note that all numbers are optional. Importantly, the step parameter is optional and can be omitted, in which case the slice uses a default step of 1.
+Slicing syntax is written as array[start:stop:step]
. Note that all numbers are optional. Importantly, the step parameter is optional and can be omitted, in which case the slice uses a default step of 1.
defaults:
@@ -1775,7 +1775,7 @@ Resources and references
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1904,7 +1904,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/numpy/numpy-broadcasting.html b/_preview/465/core/numpy/numpy-broadcasting.html
index f12c3bc0..d982242e 100644
--- a/_preview/465/core/numpy/numpy-broadcasting.html
+++ b/_preview/465/core/numpy/numpy-broadcasting.html
@@ -81,7 +81,7 @@
-
+
@@ -1070,7 +1070,7 @@ Blocking
-
-
-
-
-array([[16.2, 20.1, 19.9],
- [20.1, 19.9, 18.7],
- [19.9, 18.7, 23.7],
- [18.7, 23.7, 25.1],
- [23.7, 25.1, 16.2],
- [25.1, 16.2, 15.3],
- [16.2, 15.3, 13.6],
- [15.3, 13.6, 25.3]])
+array([[14.5, 23.1, 20.6],
+ [23.1, 20.6, 27.2],
+ [20.6, 27.2, 20.4],
+ [27.2, 20.4, 20.9],
+ [20.4, 20.9, 13.1],
+ [20.9, 13.1, 17.3],
+ [13.1, 17.3, 16.3],
+ [17.3, 16.3, 16.6]])
@@ -1161,8 +1161,8 @@ Blocking
-
-array([[ 16.2, 20.1, 2000. ],
- [ 20.1, 2000. , 18.7],
- [2000. , 18.7, 23.7],
- [ 18.7, 23.7, 25.1],
- [ 23.7, 25.1, 16.2],
- [ 25.1, 16.2, 15.3],
- [ 16.2, 15.3, 13.6],
- [ 15.3, 13.6, 25.3]])
+array([[ 14.5, 23.1, 2000. ],
+ [ 23.1, 2000. , 27.2],
+ [2000. , 27.2, 20.4],
+ [ 27.2, 20.4, 20.9],
+ [ 20.4, 20.9, 13.1],
+ [ 20.9, 13.1, 17.3],
+ [ 13.1, 17.3, 16.3],
+ [ 17.3, 16.3, 16.6]])
@@ -1210,13 +1210,13 @@ Finding the difference between min and max
-array([[7, 6, 7, ..., 6, 6, 7],
- [7, 6, 7, ..., 6, 8, 7],
- [7, 7, 7, ..., 7, 7, 7],
+array([[7, 6, 7, ..., 8, 7, 6],
+ [6, 7, 6, ..., 7, 7, 7],
+ [6, 6, 7, ..., 7, 8, 7],
...,
- [7, 7, 8, ..., 6, 6, 7],
- [6, 7, 7, ..., 7, 7, 7],
- [7, 7, 6, ..., 7, 7, 6]])
+ [7, 7, 7, ..., 6, 7, 7],
+ [7, 8, 8, ..., 7, 7, 7],
+ [6, 6, 8, ..., 6, 5, 5]])
@@ -1241,13 +1241,13 @@ Finding the difference between min and max
-array([[737.5, 775. , 737.5, ..., 775. , 775. , 737.5],
- [737.5, 775. , 737.5, ..., 775. , 700. , 737.5],
- [737.5, 737.5, 737.5, ..., 737.5, 737.5, 737.5],
+array([[737.5, 775. , 737.5, ..., 700. , 737.5, 775. ],
+ [775. , 737.5, 775. , ..., 737.5, 737.5, 737.5],
+ [775. , 775. , 737.5, ..., 737.5, 700. , 737.5],
...,
- [737.5, 737.5, 700. , ..., 775. , 775. , 737.5],
- [775. , 737.5, 737.5, ..., 737.5, 737.5, 737.5],
- [737.5, 737.5, 775. , ..., 737.5, 737.5, 775. ]])
+ [737.5, 737.5, 737.5, ..., 775. , 737.5, 737.5],
+ [737.5, 700. , 700. , ..., 737.5, 737.5, 737.5],
+ [775. , 775. , 700. , ..., 775. , 812.5, 812.5]])
@@ -1276,19 +1276,19 @@ Finding the difference between min and max
-array([[ -8.42450261, -9.2500994 , -11.54267877, ..., -11.4185489 ,
- -4.87259504, -11.57530631],
- [-10.37825593, -9.06445444, -11.62270763, ..., -11.34806692,
- -10.18044106, -13.4915536 ],
- [-10.15913454, -11.9196493 , -10.74311796, ..., -6.90912532,
- -10.83372225, -12.31159221],
+array([[-10.37811058, -11.06501087, -9.5544002 , ..., -11.53801711,
+ -13.97114482, -11.90100937],
+ [-10.08752358, -10.65431559, -13.10128328, ..., -9.14304924,
+ -10.2569287 , -9.16001307],
+ [ -7.9128817 , -8.11906205, -7.43998126, ..., -10.41354184,
+ -14.00942738, -12.71553493],
...,
- [-10.2351283 , -7.69640018, -10.79395373, ..., -7.92142786,
- -8.87134723, -10.62420337],
- [ -7.71859896, -14.83814732, -10.22987783, ..., -11.09907257,
- -10.63665333, -13.68641005],
- [ -9.8680129 , -13.12989511, -7.9258642 , ..., -9.64341228,
- -8.21255694, -8.38515472]])
+ [-11.57970362, -11.13077535, -11.01148262, ..., -7.23030136,
+ -10.691088 , -14.65076124],
+ [-10.54317976, -11.57415263, -12.91096299, ..., -10.97343607,
+ -12.33238481, -9.55148533],
+ [ -6.16308259, -5.22724365, -10.58251282, ..., -4.66032059,
+ -7.17847765, -8.44019375]])
@@ -1332,19 +1332,19 @@ Finding the difference between min and max
-array([[ -8.42450261, -9.2500994 , -11.54267877, ..., -11.4185489 ,
- -4.87259504, -11.57530631],
- [-10.37825593, -9.06445444, -11.62270763, ..., -11.34806692,
- -10.18044106, -13.4915536 ],
- [-10.15913454, -11.9196493 , -10.74311796, ..., -6.90912532,
- -10.83372225, -12.31159221],
+array([[-10.37811058, -11.06501087, -9.5544002 , ..., -11.53801711,
+ -13.97114482, -11.90100937],
+ [-10.08752358, -10.65431559, -13.10128328, ..., -9.14304924,
+ -10.2569287 , -9.16001307],
+ [ -7.9128817 , -8.11906205, -7.43998126, ..., -10.41354184,
+ -14.00942738, -12.71553493],
...,
- [-10.2351283 , -7.69640018, -10.79395373, ..., -7.92142786,
- -8.87134723, -10.62420337],
- [ -7.71859896, -14.83814732, -10.22987783, ..., -11.09907257,
- -10.63665333, -13.68641005],
- [ -9.8680129 , -13.12989511, -7.9258642 , ..., -9.64341228,
- -8.21255694, -8.38515472]])
+ [-11.57970362, -11.13077535, -11.01148262, ..., -7.23030136,
+ -10.691088 , -14.65076124],
+ [-10.54317976, -11.57415263, -12.91096299, ..., -10.97343607,
+ -12.33238481, -9.55148533],
+ [ -6.16308259, -5.22724365, -10.58251282, ..., -4.66032059,
+ -7.17847765, -8.44019375]])
@@ -1711,7 +1711,7 @@ Resources and references
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1840,7 +1840,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/overview.html b/_preview/465/core/overview.html
index 2c64fc33..b4e47021 100644
--- a/_preview/465/core/overview.html
+++ b/_preview/465/core/overview.html
@@ -79,7 +79,7 @@
-
+
@@ -886,7 +886,7 @@ Tutorials
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1015,7 +1015,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/pandas.html b/_preview/465/core/pandas.html
index b26b4419..dcc2f8e2 100644
--- a/_preview/465/core/pandas.html
+++ b/_preview/465/core/pandas.html
@@ -79,7 +79,7 @@
-
+
@@ -759,7 +759,7 @@ Pandas
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -888,7 +888,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/pandas/pandas.html b/_preview/465/core/pandas/pandas.html
index 97484dd1..d4608299 100644
--- a/_preview/465/core/pandas/pandas.html
+++ b/_preview/465/core/pandas/pandas.html
@@ -79,7 +79,7 @@
-
+
@@ -1098,7 +1098,7 @@ Indexing a Seri
-/tmp/ipykernel_2745/737336773.py:1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
+/tmp/ipykernel_2721/737336773.py:1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
nino34_series[3]
@@ -1449,7 +1449,7 @@ Extending to the
-/tmp/ipykernel_2745/541596450.py:1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
+/tmp/ipykernel_2721/541596450.py:1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
df["Nino34"][3]
@@ -3645,7 +3645,7 @@ Resampling
-/tmp/ipykernel_2745/233158901.py:1: FutureWarning: 'Y' is deprecated and will be removed in a future version, please use 'YE' instead.
+/tmp/ipykernel_2721/233158901.py:1: FutureWarning: 'Y' is deprecated and will be removed in a future version, please use 'YE' instead.
df.Nino34.resample('1Y').mean().plot();
@@ -4434,7 +4434,7 @@ Resources and References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -4563,7 +4563,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/xarray.html b/_preview/465/core/xarray.html
index d7c577cc..edb67342 100644
--- a/_preview/465/core/xarray.html
+++ b/_preview/465/core/xarray.html
@@ -79,7 +79,7 @@
-
+
@@ -760,7 +760,7 @@ Xarray
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -889,7 +889,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/xarray/computation-masking.html b/_preview/465/core/xarray/computation-masking.html
index a25c19e6..40d64115 100644
--- a/_preview/465/core/xarray/computation-masking.html
+++ b/_preview/465/core/xarray/computation-masking.html
@@ -79,7 +79,7 @@
-
+
@@ -943,7 +943,7 @@ Data Setup
@@ -1576,7 +1576,7 @@ Arithmetic Operations
+ dtype='float64', name='lon', length=360))
In addition, there are many other arithmetic operations that can be performed on DataArrays
. In this example, we demonstrate squaring the original Celsius values of our air temperature data:
@@ -2876,7 +2876,7 @@ Aggregation Methodsdim
keyword argument; this means that the function was applied over all of the dataset’s dimensions. In other words, the aggregation method computed the mean of every element of the temperature dataset across every temporal and spatial data point. However, if a dimension name is used with the dim
keyword argument, the aggregation method computes an aggregation along the given dimension. In this next example, we use aggregation to calculate the temporal mean across all spatial data; this is performed by providing the dimension name 'time'
to the dim
keyword argument:
@@ -3276,7 +3276,7 @@ Aggregation Methods
@@ -3717,7 +3717,7 @@ Aggregation Methods
@@ -4325,7 +4325,7 @@ Aggregation Methods
@@ -4889,7 +4889,7 @@ Compute climatologyDataArray containing the climatology data, we can plot the data in different ways. In this example, we plot the climatology at a specific latitude-longitude point:
@@ -5409,7 +5409,7 @@ Compute anomaly
@@ -6090,7 +6090,7 @@ Compute anomaly.weighted() method and the newly loaded CESM2 dataset to weight the grid cell data as described above:
@@ -6593,7 +6593,7 @@ Other high level computation functionalityrolling method to compute averages in a moving window of 5 months of data:
@@ -7109,7 +7109,7 @@ Other high level computation functionality
@@ -7778,7 +7778,7 @@ Masking Data
Using where
with one condition
@@ -8416,15 +8416,15 @@ Using where
+ dtype='float64', name='lon', length=360))
- cell_measures :
- area: areacello
- cell_methods :
- area: mean where sea time: mean
- comment :
- Model data on the 1x1 grid includes values in all cells for which ocean cells on the native grid cover more than 52.5 percent of the 1x1 grid cell. This 52.5 percent cutoff was chosen to produce ocean surface area on the 1x1 grid as close as possible to ocean surface area on the native grid, while not introducing fractional cell coverage.
- description :
- This may differ from "surface temperature" in regions of sea ice or floating ice shelves. For models using conservative temperature as the prognostic field, they should report the top ocean layer as surface potential temperature, which is the same as surface in situ temperature.
- frequency :
- mon
- id :
- tos
- long_name :
- Sea Surface Temperature
- mipTable :
- Omon
- out_name :
- tos
- prov :
- Omon ((isd.003))
- realm :
- ocean
- standard_name :
- sea_surface_temperature
- time :
- time
- time_label :
- time-mean
- time_title :
- Temporal mean
- title :
- Sea Surface Temperature
- type :
- real
- units :
- degC
- variable_id :
- tos
As shown in the previous example, methods like .isel()
and .sel()
return data of a different shape than the original data provided to them. However, .where()
preserves the shape of the original data by masking the values with a Boolean condition. Data values for which the condition is True
are returned identical to the values passed in. On the other hand, data values for which the condition is False
are returned as a preset example value. (This example value defaults to nan
, but can be set to other values as well.)
Before testing .where()
, it is helpful to look at the official documentation. As stated above, the .where()
method takes a Boolean condition. (Boolean conditions use operators such as less-than, greater-than, and equal-to, and return a value of True
or False
.) Most uses of .where()
check whether or not specific data values are less than or greater than a constant value. As stated in the documentation, the data values specified in the Boolean condition of .where()
can be any of the following:
@@ -8859,7 +8859,7 @@ Using where- cell_measures :
- area: areacello
- cell_methods :
- area: mean where sea time: mean
- comment :
- Model data on the 1x1 grid includes values in all cells for which ocean cells on the native grid cover more than 52.5 percent of the 1x1 grid cell. This 52.5 percent cutoff was chosen to produce ocean surface area on the 1x1 grid as close as possible to ocean surface area on the native grid, while not introducing fractional cell coverage.
- description :
- This may differ from "surface temperature" in regions of sea ice or floating ice shelves. For models using conservative temperature as the prognostic field, they should report the top ocean layer as surface potential temperature, which is the same as surface in situ temperature.
- frequency :
- mon
- id :
- tos
- long_name :
- Sea Surface Temperature
- mipTable :
- Omon
- out_name :
- tos
- prov :
- Omon ((isd.003))
- realm :
- ocean
- standard_name :
- sea_surface_temperature
- time :
- time
- time_label :
- time-mean
- time_title :
- Temporal mean
- title :
- Sea Surface Temperature
- type :
- real
- units :
- degC
- variable_id :
- tos
In this example, we use Matplotlib to plot the original, unmasked data, as well as the masked data created in the previous example.
@@ -9316,7 +9316,7 @@ Resources and References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -9445,7 +9445,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/xarray/dask-arrays-xarray.html b/_preview/465/core/xarray/dask-arrays-xarray.html
index 4265fb2e..ca83aedd 100644
--- a/_preview/465/core/xarray/dask-arrays-xarray.html
+++ b/_preview/465/core/xarray/dask-arrays-xarray.html
@@ -79,7 +79,7 @@
-
+
@@ -568,91 +568,91 @@ Create a dask.a
-array([[[0.77396645, 0.12652206, 0.37508185, ..., 0.43151751,
- 0.81926924, 0.15333617],
- [0.64552196, 0.90718022, 0.83101547, ..., 0.84099636,
- 0.89045353, 0.32514144],
- [0.92497199, 0.00925494, 0.09052796, ..., 0.98124744,
- 0.22785082, 0.42126014],
+array([[[5.84705213e-01, 7.12855059e-01, 9.39271050e-01, ...,
+ 3.84052306e-01, 3.65539077e-01, 5.20091572e-01],
+ [1.60220312e-01, 9.48108581e-01, 1.42981901e-01, ...,
+ 4.50692519e-01, 1.95866959e-01, 1.26766664e-01],
+ [2.35088205e-01, 9.16812416e-01, 6.11024749e-01, ...,
+ 2.71366747e-01, 1.85601580e-02, 3.32883537e-01],
...,
- [0.72342401, 0.73641571, 0.67794947, ..., 0.17781831,
- 0.22058084, 0.00356369],
- [0.98935282, 0.96219803, 0.02100926, ..., 0.43774496,
- 0.02350959, 0.2908574 ],
- [0.76606839, 0.67126902, 0.2167198 , ..., 0.53406808,
- 0.1472161 , 0.91769068]],
-
- [[0.02723841, 0.26997918, 0.81001676, ..., 0.66696955,
- 0.39644252, 0.38142626],
- [0.869121 , 0.40911719, 0.56072615, ..., 0.88827351,
- 0.93945601, 0.02615541],
- [0.43435909, 0.53237621, 0.67632178, ..., 0.07002759,
- 0.28193593, 0.14444255],
+ [3.32682092e-01, 2.75948970e-01, 2.84868994e-01, ...,
+ 1.74186572e-01, 6.98111939e-01, 4.53791573e-01],
+ [4.75547968e-01, 6.41457105e-01, 2.63398183e-01, ...,
+ 3.29622362e-01, 7.76015879e-01, 2.63643335e-02],
+ [8.97842188e-01, 7.87503672e-01, 1.79241460e-01, ...,
+ 4.37498708e-01, 1.78722148e-01, 5.69418965e-01]],
+
+ [[4.16258570e-01, 1.59577567e-02, 7.73410080e-01, ...,
+ 2.54124185e-01, 8.70032068e-01, 5.79602262e-01],
+ [1.16531550e-01, 6.72383069e-01, 2.43667816e-01, ...,
+ 6.44521439e-01, 7.92597459e-01, 4.61951987e-01],
+ [7.23159298e-01, 1.22116945e-02, 5.48861350e-01, ...,
+ 7.99416287e-01, 6.72057260e-01, 9.58351200e-01],
...,
- [0.47535577, 0.79737874, 0.03011941, ..., 0.19283898,
- 0.38565769, 0.21985142],
- [0.59495192, 0.07783389, 0.25992055, ..., 0.016069 ,
- 0.39806558, 0.4211737 ],
- [0.44723756, 0.65545788, 0.803289 , ..., 0.40058732,
- 0.01168566, 0.7434802 ]],
-
- [[0.61687605, 0.85052423, 0.14302337, ..., 0.60526974,
- 0.0766092 , 0.49564057],
- [0.91799729, 0.12576144, 0.83560148, ..., 0.97065688,
- 0.72514063, 0.15620772],
- [0.70723279, 0.15924569, 0.22919368, ..., 0.12862388,
- 0.93868834, 0.66554452],
+ [2.86834360e-02, 7.84857963e-01, 7.78160749e-01, ...,
+ 5.97739167e-01, 2.34244033e-01, 6.78034909e-01],
+ [8.58589470e-01, 3.02917985e-01, 2.79210510e-02, ...,
+ 8.56650661e-01, 8.44018091e-01, 6.38083788e-02],
+ [4.45319939e-01, 5.43110115e-01, 6.10567829e-01, ...,
+ 6.11691134e-01, 8.06824557e-01, 4.09331569e-01]],
+
+ [[2.70866009e-01, 6.20992756e-01, 3.76343788e-01, ...,
+ 1.27321035e-01, 7.91257988e-01, 8.99494610e-01],
+ [8.94145361e-01, 1.54751155e-01, 9.88312730e-01, ...,
+ 1.13884194e-01, 5.13025635e-01, 2.58387377e-01],
+ [7.08946310e-01, 5.07292993e-01, 5.19215998e-01, ...,
+ 5.85482422e-01, 5.65680823e-01, 5.67333934e-01],
...,
- [0.58201658, 0.14700074, 0.71111243, ..., 0.34935515,
- 0.09434437, 0.80387401],
- [0.3816449 , 0.85347178, 0.35261661, ..., 0.73382714,
- 0.07062029, 0.45632245],
- [0.8137755 , 0.76735701, 0.90530655, ..., 0.36422713,
- 0.17021748, 0.13714801]],
+ [4.05815564e-01, 6.23645044e-01, 9.46390979e-02, ...,
+ 2.37695191e-02, 5.14334468e-01, 6.42688554e-01],
+ [8.39960679e-01, 5.15540098e-01, 1.29472619e-01, ...,
+ 9.83397149e-01, 2.40563232e-01, 5.75566582e-01],
+ [2.31790576e-01, 1.33559897e-01, 8.44705848e-01, ...,
+ 3.30734592e-01, 4.95627535e-01, 1.77778836e-01]],
...,
- [[0.53035686, 0.1560838 , 0.98587376, ..., 0.24362439,
- 0.45247877, 0.70906649],
- [0.43249036, 0.22392118, 0.41020788, ..., 0.43692438,
- 0.77661412, 0.13955031],
- [0.95064729, 0.4474999 , 0.07358085, ..., 0.67280012,
- 0.05404705, 0.88381666],
+ [[8.90430737e-01, 1.00106886e-01, 9.76457020e-01, ...,
+ 9.84454372e-04, 8.31908881e-01, 5.13815135e-01],
+ [3.20091435e-01, 7.76798678e-01, 7.15130710e-01, ...,
+ 6.87017977e-01, 4.27971396e-01, 8.02663037e-01],
+ [4.70927464e-01, 3.94974857e-01, 5.50388098e-01, ...,
+ 7.75072070e-01, 4.87273382e-01, 5.56441508e-01],
...,
- [0.32108601, 0.98679091, 0.80540896, ..., 0.9246367 ,
- 0.54306491, 0.17059346],
- [0.23343613, 0.59667892, 0.89514881, ..., 0.33473887,
- 0.88598432, 0.72195913],
- [0.3653769 , 0.43502275, 0.07268888, ..., 0.2774776 ,
- 0.96369511, 0.25619946]],
-
- [[0.48698626, 0.68865839, 0.10729042, ..., 0.68702999,
- 0.35047128, 0.0765663 ],
- [0.17472251, 0.92973318, 0.33530097, ..., 0.15714715,
- 0.32889593, 0.9409423 ],
- [0.60704374, 0.98479759, 0.01087584, ..., 0.61667322,
- 0.72752146, 0.4425885 ],
+ [9.77499022e-01, 7.58130709e-01, 6.35926771e-01, ...,
+ 9.78725559e-01, 7.87919066e-01, 5.55648878e-01],
+ [6.58723962e-01, 8.27643256e-01, 9.95013911e-01, ...,
+ 7.75979689e-01, 7.23155162e-01, 2.72166196e-01],
+ [5.82375611e-01, 9.92007406e-01, 4.88585059e-01, ...,
+ 3.80687452e-01, 5.03842041e-01, 8.73579819e-01]],
+
+ [[9.47144729e-01, 7.93790406e-01, 3.19896551e-01, ...,
+ 7.22946679e-01, 4.33952137e-02, 2.75934144e-02],
+ [6.72013064e-01, 4.81928595e-01, 5.55723931e-01, ...,
+ 6.57455953e-01, 9.48525236e-01, 8.38818791e-01],
+ [5.64040668e-01, 7.42987283e-01, 6.56076293e-01, ...,
+ 2.67217439e-01, 4.43655589e-01, 2.53681581e-01],
...,
- [0.30873117, 0.70745714, 0.78565017, ..., 0.65285402,
- 0.28607755, 0.21054105],
- [0.06396047, 0.81074985, 0.36126222, ..., 0.28065536,
- 0.03763166, 0.97842859],
- [0.73850865, 0.57924842, 0.57793988, ..., 0.56732237,
- 0.48795221, 0.68503426]],
-
- [[0.61923034, 0.60080548, 0.17757277, ..., 0.58657404,
- 0.84905093, 0.9945109 ],
- [0.27366391, 0.62922694, 0.41755591, ..., 0.03170525,
- 0.52677539, 0.73674307],
- [0.95526902, 0.87909644, 0.33730061, ..., 0.87580362,
- 0.5718606 , 0.52062666],
+ [3.40008990e-01, 7.06665855e-01, 2.58763072e-01, ...,
+ 8.84284861e-01, 5.64585649e-01, 1.63210032e-01],
+ [5.38606143e-02, 1.37338539e-01, 5.17606813e-01, ...,
+ 5.75767085e-01, 7.17846510e-01, 4.72022698e-01],
+ [8.33354545e-01, 8.91524260e-01, 2.49623733e-01, ...,
+ 3.49682966e-01, 6.78770523e-01, 8.92591690e-01]],
+
+ [[2.40291221e-01, 9.68445801e-01, 1.71497172e-01, ...,
+ 1.54280676e-02, 8.49527122e-01, 9.18501235e-01],
+ [9.75852182e-01, 4.28775105e-01, 4.06872848e-01, ...,
+ 9.43785941e-01, 3.05764848e-01, 1.69684556e-01],
+ [8.95852921e-02, 3.30451405e-01, 9.30016637e-01, ...,
+ 6.56533330e-01, 1.14648894e-01, 5.76423916e-01],
...,
- [0.59002888, 0.74681423, 0.38085522, ..., 0.81590749,
- 0.25793192, 0.26047686],
- [0.15708495, 0.63452819, 0.70027426, ..., 0.5222357 ,
- 0.36298136, 0.69983528],
- [0.95177671, 0.06196818, 0.04978718, ..., 0.01916028,
- 0.25220199, 0.79417708]]])
+ [7.89303042e-01, 2.04810060e-01, 6.06598033e-01, ...,
+ 9.25029131e-01, 6.94017573e-01, 1.27315744e-01],
+ [5.76593822e-01, 5.26487687e-01, 3.43520569e-01, ...,
+ 3.20111353e-01, 7.88628916e-01, 1.77809836e-01],
+ [6.18822465e-01, 8.48057843e-01, 2.55668031e-01, ...,
+ 2.12989271e-01, 6.32617333e-02, 8.30676890e-01]]])
@@ -873,11 +873,11 @@ Compute the result
-CPU times: user 406 ms, sys: 20 ms, total: 426 ms
-Wall time: 227 ms
+CPU times: user 409 ms, sys: 23.3 ms, total: 433 ms
+Wall time: 230 ms
-11998936.634749414
+12000089.772743646
@@ -1107,7 +1107,7 @@ Testing a bigger calculation
-
+
@@ -1118,91 +1118,91 @@ Testing a bigger calculation
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@@ -1214,22 +1214,22 @@ Testing a bigger calculation[############# ] | 34% Completed | 3.13 s
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+[############# ] | 34% Completed | 3.24 s
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-[################### ] | 48% Completed | 3.73 s
+[################### ] | 48% Completed | 3.74 s
[################### ] | 48% Completed | 3.84 s
@@ -1244,16 +1244,16 @@ Testing a bigger calculation[################### ] | 48% Completed | 4.14 s
-[#################### ] | 50% Completed | 4.24 s
+[#################### ] | 51% Completed | 4.24 s
-[##################### ] | 52% Completed | 4.34 s
+[##################### ] | 54% Completed | 4.35 s
-[###################### ] | 55% Completed | 4.44 s
+[####################### ] | 58% Completed | 4.45 s
-[####################### ] | 58% Completed | 4.54 s
+[####################### ] | 59% Completed | 4.55 s
[####################### ] | 59% Completed | 4.65 s
@@ -1271,19 +1271,19 @@ Testing a bigger calculation[######################## ] | 60% Completed | 5.05 s
-[######################### ] | 62% Completed | 5.15 s
+[######################### ] | 63% Completed | 5.15 s
-[######################### ] | 64% Completed | 5.25 s
+[########################## ] | 67% Completed | 5.25 s
-[########################### ] | 67% Completed | 5.35 s
+[############################ ] | 71% Completed | 5.36 s
-[############################ ] | 72% Completed | 5.45 s
+[############################# ] | 74% Completed | 5.46 s
-[############################# ] | 74% Completed | 5.55 s
+[############################# ] | 74% Completed | 5.56 s
[############################# ] | 74% Completed | 5.66 s
@@ -1295,19 +1295,19 @@ Testing a bigger calculation[############################# ] | 74% Completed | 5.86 s
-[############################# ] | 74% Completed | 5.96 s
+[############################## ] | 75% Completed | 5.96 s
-[############################## ] | 75% Completed | 6.06 s
+[############################### ] | 79% Completed | 6.06 s
-[############################### ] | 77% Completed | 6.17 s
+[################################ ] | 81% Completed | 6.16 s
-[################################ ] | 80% Completed | 6.27 s
+[################################# ] | 84% Completed | 6.27 s
-[################################# ] | 83% Completed | 6.37 s
+[################################## ] | 85% Completed | 6.37 s
[################################## ] | 85% Completed | 6.47 s
@@ -1322,25 +1322,19 @@ Testing a bigger calculation[################################## ] | 85% Completed | 6.77 s
-[################################## ] | 85% Completed | 6.87 s
+[################################### ] | 88% Completed | 6.87 s
-[################################## ] | 86% Completed | 6.97 s
+[#################################### ] | 91% Completed | 6.97 s
-[################################### ] | 89% Completed | 7.07 s
+[###################################### ] | 95% Completed | 7.07 s
-[##################################### ] | 92% Completed | 7.17 s
+[####################################### ] | 98% Completed | 7.17 s
-[###################################### ] | 96% Completed | 7.28 s
-
-
-[####################################### ] | 99% Completed | 7.38 s
-
-
-[########################################] | 100% Completed | 7.48 s
+[########################################] | 100% Completed | 7.27 s
@@ -1858,7 +1852,7 @@ Reading data with
- latPandasIndex
PandasIndex(Index([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,
+ 80.5, 81.5, 82.5, 83.5, 84.5, 85.5, 86.5, 87.5, 88.5, 89.5])
- lon(lon)float640.5 1.5 2.5 ... 357.5 358.5 359.5
array([ 0.5, 1.5, 2.5, ..., 357.5, 358.5, 359.5])
- latPandasIndex
PandasIndex(Index([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,
...
80.5, 81.5, 82.5, 83.5, 84.5, 85.5, 86.5, 87.5, 88.5, 89.5],
- dtype='float64', name='lat', length=180))
- lonPandasIndex
PandasIndex(Index([ 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5,
+ dtype='float64', name='lat', length=180))
- lonPandasIndex
PandasIndex(Index([ 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5,
...
350.5, 351.5, 352.5, 353.5, 354.5, 355.5, 356.5, 357.5, 358.5, 359.5],
- dtype='float64', name='lon', length=360))
+ dtype='float64', name='lon', length=360))
As shown in the above example, the result of the applied operations is an Xarray DataArray
that contains a Dask Array, an identical object type to the object that the operations were performed on. This is true for any operations that can be applied to Xarray DataArrays
, including subsetting operations; this next example illustrates this:
@@ -3743,7 +3737,7 @@ Parallel and lazy computation using
@@ -3798,10 +3792,10 @@ Parallel and lazy computation using dask.visualize()
function, as shown in this example:
@@ -3823,10 +3817,10 @@ Parallel and lazy computation using
-[ ] | 0% Completed | 146.38 us
+[ ] | 0% Completed | 128.58 us
-[########################################] | 100% Completed | 101.03 ms
+[########################################] | 100% Completed | 101.09 ms
@@ -4240,7 +4234,7 @@ Resources and references
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -4369,7 +4363,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/xarray/enso-xarray.html b/_preview/465/core/xarray/enso-xarray.html
index a9137534..541c4300 100644
--- a/_preview/465/core/xarray/enso-xarray.html
+++ b/_preview/465/core/xarray/enso-xarray.html
@@ -79,7 +79,7 @@
-
+
@@ -958,7 +958,7 @@ The Niño 3.4 Index
@@ -1590,7 +1590,7 @@ Select the Niño 3.4 regionwhere() method:
+array(1.8436452, dtype=float32)
The final step of the Niño 3.4 index calculation involves normalizing the data. In this example, we perform this normalization by dividing the smoothed anomaly data by the standard deviation calculated above:
@@ -3396,7 +3396,7 @@ Resources and References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -3525,7 +3525,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/core/xarray/xarray-intro.html b/_preview/465/core/xarray/xarray-intro.html
index 60f93f9c..b492183a 100644
--- a/_preview/465/core/xarray/xarray-intro.html
+++ b/_preview/465/core/xarray/xarray-intro.html
@@ -79,7 +79,7 @@
-
+
@@ -583,25 +583,25 @@ Generate a random numpy array
-array([[[284.41587778, 278.24039225, 277.12567469, 280.3036116 ],
- [291.38671994, 284.07843685, 271.68662433, 284.00738909],
- [280.62671666, 285.40633424, 286.63476229, 289.38464724]],
+array([[[288.86970321, 284.7384664 , 282.35852501, 285.92122635],
+ [282.52331653, 285.6589906 , 285.55553297, 278.33003438],
+ [279.63501981, 288.14519049, 286.05352077, 288.79783055]],
- [[289.31264816, 276.87863509, 286.64456698, 284.77258594],
- [273.51127397, 283.21851164, 287.41218494, 288.00117461],
- [281.69931618, 282.37308577, 280.03249701, 284.14361119]],
+ [[279.31184742, 288.81020066, 287.24674981, 283.21292832],
+ [288.02277269, 287.77702705, 283.11280335, 281.09473394],
+ [286.00638691, 281.87253294, 279.73360744, 289.98233186]],
- [[283.04559735, 280.78917817, 292.96111744, 278.02258703],
- [285.20114621, 278.34000362, 285.86553083, 284.73133541],
- [287.42463473, 279.11792656, 286.78351808, 284.55556101]],
+ [[279.78145268, 290.92864603, 280.18404573, 291.05830313],
+ [289.82421664, 279.8440422 , 284.27505363, 276.28011894],
+ [281.19911982, 282.75329696, 283.1504202 , 285.75519209]],
- [[274.31771102, 278.4600157 , 276.69938539, 284.92340203],
- [281.15033359, 276.94539556, 282.4374854 , 283.59988558],
- [279.87679517, 284.50906666, 283.20914335, 289.01409305]],
+ [[278.95406808, 283.81029808, 289.58115229, 283.25837081],
+ [293.81199489, 290.81157433, 276.52909546, 289.52713825],
+ [287.58819129, 289.86086944, 275.75143907, 275.23555959]],
- [[278.09950498, 285.36084784, 286.81385096, 282.64902995],
- [284.24927371, 287.03465307, 283.61937887, 287.14922461],
- [287.40858438, 292.93218138, 278.34630164, 285.26746923]]])
+ [[279.3222527 , 271.09745011, 291.62430796, 281.60265432],
+ [283.40250288, 278.28708635, 281.70213321, 286.89310833],
+ [283.48952486, 287.22982986, 286.75245209, 281.6099753 ]]])
@@ -982,44 +982,44 @@ Wrap the array: first attempt
@@ -1402,44 +1402,44 @@ Assign dimension names<xarray.DataArray (time: 5, lat: 3, lon: 4)> Size: 480B
-array([[[284.41587778, 278.24039225, 277.12567469, 280.3036116 ],
- [291.38671994, 284.07843685, 271.68662433, 284.00738909],
- [280.62671666, 285.40633424, 286.63476229, 289.38464724]],
-
- [[289.31264816, 276.87863509, 286.64456698, 284.77258594],
- [273.51127397, 283.21851164, 287.41218494, 288.00117461],
- [281.69931618, 282.37308577, 280.03249701, 284.14361119]],
-
- [[283.04559735, 280.78917817, 292.96111744, 278.02258703],
- [285.20114621, 278.34000362, 285.86553083, 284.73133541],
- [287.42463473, 279.11792656, 286.78351808, 284.55556101]],
-
- [[274.31771102, 278.4600157 , 276.69938539, 284.92340203],
- [281.15033359, 276.94539556, 282.4374854 , 283.59988558],
- [279.87679517, 284.50906666, 283.20914335, 289.01409305]],
-
- [[278.09950498, 285.36084784, 286.81385096, 282.64902995],
- [284.24927371, 287.03465307, 283.61937887, 287.14922461],
- [287.40858438, 292.93218138, 278.34630164, 285.26746923]]])
-Dimensions without coordinates: time, lat, lon
+array([[[288.86970321, 284.7384664 , 282.35852501, 285.92122635],
+ [282.52331653, 285.6589906 , 285.55553297, 278.33003438],
+ [279.63501981, 288.14519049, 286.05352077, 288.79783055]],
+
+ [[279.31184742, 288.81020066, 287.24674981, 283.21292832],
+ [288.02277269, 287.77702705, 283.11280335, 281.09473394],
+ [286.00638691, 281.87253294, 279.73360744, 289.98233186]],
+
+ [[279.78145268, 290.92864603, 280.18404573, 291.05830313],
+ [289.82421664, 279.8440422 , 284.27505363, 276.28011894],
+ [281.19911982, 282.75329696, 283.1504202 , 285.75519209]],
+
+ [[278.95406808, 283.81029808, 289.58115229, 283.25837081],
+ [293.81199489, 290.81157433, 276.52909546, 289.52713825],
+ [287.58819129, 289.86086944, 275.75143907, 275.23555959]],
+
+ [[279.3222527 , 271.09745011, 291.62430796, 281.60265432],
+ [283.40250288, 278.28708635, 281.70213321, 286.89310833],
+ [283.48952486, 287.22982986, 286.75245209, 281.6099753 ]]])
+Dimensions without coordinates: time, lat, lon
This DataArray
is already an improvement over a NumPy array; the DataArray
contains names for each of the dimensions (or axes in NumPy parlance). An additional improvement is the association of coordinate-value arrays with data upon creation of a DataArray
. In the next example, we illustrate the creation of NumPy arrays representing the coordinate values for each dimension of the DataArray
, and how to associate these coordinate arrays with the data in our DataArray
.
@@ -1849,51 +1849,51 @@ Initialize the
fill: currentColor;
}
<xarray.DataArray (time: 5, lat: 3, lon: 4)> Size: 480B
-array([[[284.41587778, 278.24039225, 277.12567469, 280.3036116 ],
- [291.38671994, 284.07843685, 271.68662433, 284.00738909],
- [280.62671666, 285.40633424, 286.63476229, 289.38464724]],
+array([[[288.86970321, 284.7384664 , 282.35852501, 285.92122635],
+ [282.52331653, 285.6589906 , 285.55553297, 278.33003438],
+ [279.63501981, 288.14519049, 286.05352077, 288.79783055]],
- [[289.31264816, 276.87863509, 286.64456698, 284.77258594],
- [273.51127397, 283.21851164, 287.41218494, 288.00117461],
- [281.69931618, 282.37308577, 280.03249701, 284.14361119]],
+ [[279.31184742, 288.81020066, 287.24674981, 283.21292832],
+ [288.02277269, 287.77702705, 283.11280335, 281.09473394],
+ [286.00638691, 281.87253294, 279.73360744, 289.98233186]],
- [[283.04559735, 280.78917817, 292.96111744, 278.02258703],
- [285.20114621, 278.34000362, 285.86553083, 284.73133541],
- [287.42463473, 279.11792656, 286.78351808, 284.55556101]],
+ [[279.78145268, 290.92864603, 280.18404573, 291.05830313],
+ [289.82421664, 279.8440422 , 284.27505363, 276.28011894],
+ [281.19911982, 282.75329696, 283.1504202 , 285.75519209]],
- [[274.31771102, 278.4600157 , 276.69938539, 284.92340203],
- [281.15033359, 276.94539556, 282.4374854 , 283.59988558],
- [279.87679517, 284.50906666, 283.20914335, 289.01409305]],
+ [[278.95406808, 283.81029808, 289.58115229, 283.25837081],
+ [293.81199489, 290.81157433, 276.52909546, 289.52713825],
+ [287.58819129, 289.86086944, 275.75143907, 275.23555959]],
- [[278.09950498, 285.36084784, 286.81385096, 282.64902995],
- [284.24927371, 287.03465307, 283.61937887, 287.14922461],
- [287.40858438, 292.93218138, 278.34630164, 285.26746923]]])
+ [[279.3222527 , 271.09745011, 291.62430796, 281.60265432],
+ [283.40250288, 278.28708635, 281.70213321, 286.89310833],
+ [283.48952486, 287.22982986, 286.75245209, 281.6099753 ]]])
Coordinates:
* time (time) datetime64[ns] 40B 2018-01-01 2018-01-02 ... 2018-01-05
* lat (lat) float64 24B 25.0 40.0 55.0
- * lon (lon) float64 32B -120.0 -100.0 -80.0 -60.0
+ dtype='datetime64[ns]', name='time', freq='D'))
latPandasIndexPandasIndex(Index([25.0, 40.0, 55.0], dtype='float64', name='lat'))
lonPandasIndexPandasIndex(Index([-120.0, -100.0, -80.0, -60.0], dtype='float64', name='lon'))
@@ -2273,54 +2273,54 @@ Set useful attributes<xarray.DataArray (time: 5, lat: 3, lon: 4)> Size: 480B
-array([[[284.41587778, 278.24039225, 277.12567469, 280.3036116 ],
- [291.38671994, 284.07843685, 271.68662433, 284.00738909],
- [280.62671666, 285.40633424, 286.63476229, 289.38464724]],
+array([[[288.86970321, 284.7384664 , 282.35852501, 285.92122635],
+ [282.52331653, 285.6589906 , 285.55553297, 278.33003438],
+ [279.63501981, 288.14519049, 286.05352077, 288.79783055]],
- [[289.31264816, 276.87863509, 286.64456698, 284.77258594],
- [273.51127397, 283.21851164, 287.41218494, 288.00117461],
- [281.69931618, 282.37308577, 280.03249701, 284.14361119]],
+ [[279.31184742, 288.81020066, 287.24674981, 283.21292832],
+ [288.02277269, 287.77702705, 283.11280335, 281.09473394],
+ [286.00638691, 281.87253294, 279.73360744, 289.98233186]],
- [[283.04559735, 280.78917817, 292.96111744, 278.02258703],
- [285.20114621, 278.34000362, 285.86553083, 284.73133541],
- [287.42463473, 279.11792656, 286.78351808, 284.55556101]],
+ [[279.78145268, 290.92864603, 280.18404573, 291.05830313],
+ [289.82421664, 279.8440422 , 284.27505363, 276.28011894],
+ [281.19911982, 282.75329696, 283.1504202 , 285.75519209]],
- [[274.31771102, 278.4600157 , 276.69938539, 284.92340203],
- [281.15033359, 276.94539556, 282.4374854 , 283.59988558],
- [279.87679517, 284.50906666, 283.20914335, 289.01409305]],
+ [[278.95406808, 283.81029808, 289.58115229, 283.25837081],
+ [293.81199489, 290.81157433, 276.52909546, 289.52713825],
+ [287.58819129, 289.86086944, 275.75143907, 275.23555959]],
- [[278.09950498, 285.36084784, 286.81385096, 282.64902995],
- [284.24927371, 287.03465307, 283.61937887, 287.14922461],
- [287.40858438, 292.93218138, 278.34630164, 285.26746923]]])
+ [[279.3222527 , 271.09745011, 291.62430796, 281.60265432],
+ [283.40250288, 278.28708635, 281.70213321, 286.89310833],
+ [283.48952486, 287.22982986, 286.75245209, 281.6099753 ]]])
Coordinates:
* time (time) datetime64[ns] 40B 2018-01-01 2018-01-02 ... 2018-01-05
* lat (lat) float64 24B 25.0 40.0 55.0
* lon (lon) float64 32B -120.0 -100.0 -80.0 -60.0
Attributes:
units: kelvin
- standard_name: air_temperature
+ dtype='datetime64[ns]', name='time', freq='D'))
latPandasIndexPandasIndex(Index([25.0, 40.0, 55.0], dtype='float64', name='lat'))
lonPandasIndexPandasIndex(Index([-120.0, -100.0, -80.0, -60.0], dtype='float64', name='lon'))
- units :
- kelvin
- standard_name :
- air_temperature
@@ -2699,51 +2699,51 @@ Issues with preservation of attributesdocumentation page.
@@ -3134,54 +3134,54 @@ Create a pressure
+ dtype='datetime64[ns]', name='time', freq='D'))latPandasIndexPandasIndex(Index([25.0, 40.0, 55.0], dtype='float64', name='lat'))
lonPandasIndexPandasIndex(Index([-120.0, -100.0, -80.0, -60.0], dtype='float64', name='lon'))
As listed in the rich display above, the new Dataset
object is aware that both DataArrays
share the same coordinate axes. (Please note that if this page is not run as a Jupyter Notebook, the rich display may be unavailable.)
@@ -3986,54 +3986,54 @@ Access Data variables and Coordinates in a DataArrays
through a dictionary syntax, as shown in this example:
@@ -4407,54 +4407,54 @@ Access Data variables and Coordinates in a Dataset
objects are mainly used for loading data from files, which will be covered later in this tutorial.
@@ -4838,18 +4838,18 @@ NumPy-like selection<xarray.DataArray (lat: 3, lon: 4)> Size: 96B
-array([[289.31264816, 276.87863509, 286.64456698, 284.77258594],
- [273.51127397, 283.21851164, 287.41218494, 288.00117461],
- [281.69931618, 282.37308577, 280.03249701, 284.14361119]])
+array([[279.31184742, 288.81020066, 287.24674981, 283.21292832],
+ [288.02277269, 287.77702705, 283.11280335, 281.09473394],
+ [286.00638691, 281.87253294, 279.73360744, 289.98233186]])
Coordinates:
time datetime64[ns] 8B 2018-01-02
* lat (lat) float64 24B 25.0 40.0 55.0
* lon (lon) float64 32B -120.0 -100.0 -80.0 -60.0
Attributes:
units: kelvin
- standard_name: air_temperature
+ standard_name: air_temperature
This example reveals one of the major shortcomings of index selection. In order to retrieve the correct data using index selection, anyone using a DataArray
must have precise knowledge of the axes in the DataArray
, including the order of the axes and the meaning of their indices.
By using named coordinates, as shown in the next set of examples, we can avoid this cumbersome burden.
@@ -5229,18 +5229,18 @@ Selecting with
fill: currentColor;
}
<xarray.DataArray (lat: 3, lon: 4)> Size: 96B
-array([[289.31264816, 276.87863509, 286.64456698, 284.77258594],
- [273.51127397, 283.21851164, 287.41218494, 288.00117461],
- [281.69931618, 282.37308577, 280.03249701, 284.14361119]])
+array([[279.31184742, 288.81020066, 287.24674981, 283.21292832],
+ [288.02277269, 287.77702705, 283.11280335, 281.09473394],
+ [286.00638691, 281.87253294, 279.73360744, 289.98233186]])
Coordinates:
time datetime64[ns] 8B 2018-01-02
* lat (lat) float64 24B 25.0 40.0 55.0
* lon (lon) float64 32B -120.0 -100.0 -80.0 -60.0
Attributes:
units: kelvin
- standard_name: air_temperature
+ standard_name: air_temperature
This method yields the same result as the index selection, however:
@@ -5627,18 +5627,18 @@ Nearest-neighbor sampling.sel indeed returned the data at the temporal value corresponding to the date 2018-01-05
.
@@ -6017,20 +6017,20 @@ Interpolation
Info
@@ -6414,29 +6414,29 @@ Slicing along coordinates
Info
@@ -6818,18 +6818,18 @@ One more selection method: <xarray.DataArray (lat: 3, lon: 4)> Size: 96B
-array([[289.31264816, 276.87863509, 286.64456698, 284.77258594],
- [273.51127397, 283.21851164, 287.41218494, 288.00117461],
- [281.69931618, 282.37308577, 280.03249701, 284.14361119]])
+array([[279.31184742, 288.81020066, 287.24674981, 283.21292832],
+ [288.02277269, 287.77702705, 283.11280335, 281.09473394],
+ [286.00638691, 281.87253294, 279.73360744, 289.98233186]])
Coordinates:
time datetime64[ns] 8B 2018-01-02
* lat (lat) float64 24B 25.0 40.0 55.0
* lon (lon) float64 32B -120.0 -100.0 -80.0 -60.0
Attributes:
units: kelvin
- standard_name: air_temperature
+ standard_name: air_temperature
This selection technique is similar to NumPy’s index-based selection, as shown below:
temp[1,:,:]
@@ -7208,29 +7208,29 @@ One more selection method: <xarray.DataArray (time: 3, lat: 2, lon: 2)> Size: 96B
-array([[[278.24039225, 277.12567469],
- [284.07843685, 271.68662433]],
+array([[[284.7384664 , 282.35852501],
+ [285.6589906 , 285.55553297]],
- [[276.87863509, 286.64456698],
- [283.21851164, 287.41218494]],
+ [[288.81020066, 287.24674981],
+ [287.77702705, 283.11280335]],
- [[280.78917817, 292.96111744],
- [278.34000362, 285.86553083]]])
+ [[290.92864603, 280.18404573],
+ [279.8440422 , 284.27505363]]])
Coordinates:
* time (time) datetime64[ns] 24B 2018-01-01 2018-01-02 2018-01-03
* lat (lat) float64 16B 25.0 40.0
* lon (lon) float64 16B -100.0 -80.0
Attributes:
units: kelvin
- standard_name: air_temperature
+ [[290.92864603, 280.18404573],
+ [279.8440422 , 284.27505363]]])
- time(time)datetime64[ns]2018-01-01 2018-01-02 2018-01-03
array(['2018-01-01T00:00:00.000000000', '2018-01-02T00:00:00.000000000',
+ '2018-01-03T00:00:00.000000000'], dtype='datetime64[ns]')
- lat(lat)float6425.0 40.0
array([25., 40.])
- lon(lon)float64-100.0 -80.0
array([-100., -80.])
- timePandasIndex
PandasIndex(DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03'], dtype='datetime64[ns]', name='time', freq='D'))
- latPandasIndex
PandasIndex(Index([25.0, 40.0], dtype='float64', name='lat'))
- lonPandasIndex
PandasIndex(Index([-100.0, -80.0], dtype='float64', name='lon'))
- units :
- kelvin
- standard_name :
- air_temperature
In contrast with the previous example, this example shows a useful advantage of using the .loc
attribute. When using the .loc
attribute, you can specify data slices using a syntax similar to NumPy in addition to, or instead of, using the slice function. Both of these slicing techniques are illustrated below:
@@ -7604,29 +7604,29 @@ One more selection method: <xarray.DataArray (time: 3, lat: 2, lon: 2)> Size: 96B
-array([[[278.24039225, 277.12567469],
- [284.07843685, 271.68662433]],
+array([[[284.7384664 , 282.35852501],
+ [285.6589906 , 285.55553297]],
- [[276.87863509, 286.64456698],
- [283.21851164, 287.41218494]],
+ [[288.81020066, 287.24674981],
+ [287.77702705, 283.11280335]],
- [[280.78917817, 292.96111744],
- [278.34000362, 285.86553083]]])
+ [[290.92864603, 280.18404573],
+ [279.8440422 , 284.27505363]]])
Coordinates:
* time (time) datetime64[ns] 24B 2018-01-01 2018-01-02 2018-01-03
* lat (lat) float64 16B 25.0 40.0
* lon (lon) float64 16B -100.0 -80.0
Attributes:
units: kelvin
- standard_name: air_temperature
+ [[290.92864603, 280.18404573],
+ [279.8440422 , 284.27505363]]])
- time(time)datetime64[ns]2018-01-01 2018-01-02 2018-01-03
array(['2018-01-01T00:00:00.000000000', '2018-01-02T00:00:00.000000000',
+ '2018-01-03T00:00:00.000000000'], dtype='datetime64[ns]')
- lat(lat)float6425.0 40.0
array([25., 40.])
- lon(lon)float64-100.0 -80.0
array([-100., -80.])
- timePandasIndex
PandasIndex(DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03'], dtype='datetime64[ns]', name='time', freq='D'))
- latPandasIndex
PandasIndex(Index([25.0, 40.0], dtype='float64', name='lat'))
- lonPandasIndex
PandasIndex(Index([-100.0, -80.0], dtype='float64', name='lon'))
- units :
- kelvin
- standard_name :
- air_temperature
As described above, the arguments to .loc
must be in the order of the DataArray
’s dimensions. Attempting to slice data without ordering arguments properly can cause errors, as shown below:
@@ -8059,10 +8059,10 @@ Access netCDF data with
@@ -8504,17 +8504,17 @@ Subsetting the
positive: down
Grib_level_type: 100
_CoordinateAxisType: Pressure
- _CoordinateZisPositive: down
+ dtype='float32', name='isobaric1'))
- units :
- hPa
- long_name :
- Isobaric surface
- positive :
- down
- Grib_level_type :
- 100
- _CoordinateAxisType :
- Pressure
- _CoordinateZisPositive :
- down
(As described earlier in this tutorial, we can also use dictionary syntax to select specific DataArrays
; in this case, we would write ds['isobaric1']
.)
Many of the subsetting operations usable on DataArrays
can also be used on Datasets
. However, when used on Datasets
, these operations are performed on every DataArray
in the Dataset
, as shown below:
@@ -8916,7 +8916,7 @@ Subsetting the
geospatial_lat_min: 10.753308882144761
geospatial_lat_max: 46.8308828962289
geospatial_lon_min: -153.88242040519995
- geospatial_lon_max: -42.666108129242815
As shown above, the subsetting operation performed on the Dataset
returned a new Dataset
. If only a single DataArray
is needed from this new Dataset
, it can be retrieved using the familiar dot notation:
@@ -9356,7 +9356,7 @@ Subsetting the
Grib1_TableVersion: 131
Grib1_Parameter: 11
Grib1_Level_Type: 100
- Grib1_Level_Desc: Isobaric surface
+ dtype='float32', name='x', length=268))
- long_name :
- Temperature @ Isobaric surface
- units :
- K
- description :
- Temperature
- grid_mapping :
- LambertConformal_Projection
- Grib_Variable_Id :
- VAR_7-15-131-11_L100
- Grib1_Center :
- 7
- Grib1_Subcenter :
- 15
- Grib1_TableVersion :
- 131
- Grib1_Parameter :
- 11
- Grib1_Level_Type :
- 100
- Grib1_Level_Desc :
- Isobaric surface
@@ -9790,19 +9790,19 @@ Aggregation operations
+ dtype='float32', name='isobaric1'))
@@ -10226,7 +10226,7 @@ Simple visualization with
-[<matplotlib.lines.Line2D at 0x7f3fb5695280>]
+[<matplotlib.lines.Line2D at 0x7fafe454fc80>]
@@ -10250,7 +10250,7 @@ Customizing the plot
-[<matplotlib.lines.Line2D at 0x7f3fc2eb3bc0>]
+[<matplotlib.lines.Line2D at 0x7fafe45c83e0>]
@@ -10268,7 +10268,7 @@ Plotting 2-D data
-<matplotlib.collections.QuadMesh at 0x7f3fc2eca660>
+<matplotlib.collections.QuadMesh at 0x7fafe454eba0>
@@ -10667,7 +10667,7 @@ Resources and references
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -10796,7 +10796,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/conda.html b/_preview/465/foundations/conda.html
index 36ee51ae..fa29a081 100644
--- a/_preview/465/foundations/conda.html
+++ b/_preview/465/foundations/conda.html
@@ -79,7 +79,7 @@
-
+
@@ -913,7 +913,7 @@ Resources and References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1042,7 +1042,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/getting-started-github.html b/_preview/465/foundations/getting-started-github.html
index 521cc4cb..3af56b3a 100644
--- a/_preview/465/foundations/getting-started-github.html
+++ b/_preview/465/foundations/getting-started-github.html
@@ -81,7 +81,7 @@
-
+
@@ -768,7 +768,7 @@ Getting Started with GitHub
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -897,7 +897,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/getting-started-jupyter.html b/_preview/465/foundations/getting-started-jupyter.html
index 77737ab8..c5d490db 100644
--- a/_preview/465/foundations/getting-started-jupyter.html
+++ b/_preview/465/foundations/getting-started-jupyter.html
@@ -79,7 +79,7 @@
-
+
@@ -905,7 +905,7 @@ Resources and references
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1034,7 +1034,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/getting-started-python.html b/_preview/465/foundations/getting-started-python.html
index a18704f9..ad34c4c6 100644
--- a/_preview/465/foundations/getting-started-python.html
+++ b/_preview/465/foundations/getting-started-python.html
@@ -81,7 +81,7 @@
-
+
@@ -779,7 +779,7 @@ Topics
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -908,7 +908,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/github/basic-git.html b/_preview/465/foundations/github/basic-git.html
index 63bae98a..04355766 100644
--- a/_preview/465/foundations/github/basic-git.html
+++ b/_preview/465/foundations/github/basic-git.html
@@ -79,7 +79,7 @@
-
+
@@ -1222,7 +1222,7 @@ References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1351,7 +1351,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/github/contribute-to-pythia.html b/_preview/465/foundations/github/contribute-to-pythia.html
index 94780dd1..0406032a 100644
--- a/_preview/465/foundations/github/contribute-to-pythia.html
+++ b/_preview/465/foundations/github/contribute-to-pythia.html
@@ -79,7 +79,7 @@
-
+
@@ -885,7 +885,7 @@ Summary
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1014,7 +1014,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/github/git-branches.html b/_preview/465/foundations/github/git-branches.html
index 6b534e3b..df37ad0a 100644
--- a/_preview/465/foundations/github/git-branches.html
+++ b/_preview/465/foundations/github/git-branches.html
@@ -79,7 +79,7 @@
-
+
@@ -1036,7 +1036,7 @@ Resources and references
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1165,7 +1165,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/github/github-advanced.html b/_preview/465/foundations/github/github-advanced.html
index 81baf295..0d0b2efd 100644
--- a/_preview/465/foundations/github/github-advanced.html
+++ b/_preview/465/foundations/github/github-advanced.html
@@ -77,7 +77,7 @@
-
+
@@ -810,7 +810,7 @@ References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -939,7 +939,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/github/github-cloning-forking.html b/_preview/465/foundations/github/github-cloning-forking.html
index a00d13a0..6dbc41de 100644
--- a/_preview/465/foundations/github/github-cloning-forking.html
+++ b/_preview/465/foundations/github/github-cloning-forking.html
@@ -79,7 +79,7 @@
-
+
@@ -988,7 +988,7 @@ References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1117,7 +1117,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/github/github-issues.html b/_preview/465/foundations/github/github-issues.html
index 9d688b42..2d509eba 100644
--- a/_preview/465/foundations/github/github-issues.html
+++ b/_preview/465/foundations/github/github-issues.html
@@ -79,7 +79,7 @@
-
+
@@ -875,7 +875,7 @@ References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1004,7 +1004,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/github/github-pull-request.html b/_preview/465/foundations/github/github-pull-request.html
index 7d3880ca..007ba245 100644
--- a/_preview/465/foundations/github/github-pull-request.html
+++ b/_preview/465/foundations/github/github-pull-request.html
@@ -79,7 +79,7 @@
-
+
@@ -946,7 +946,7 @@ References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1075,7 +1075,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/github/github-repos.html b/_preview/465/foundations/github/github-repos.html
index 33fc0f17..43620aee 100644
--- a/_preview/465/foundations/github/github-repos.html
+++ b/_preview/465/foundations/github/github-repos.html
@@ -79,7 +79,7 @@
-
+
@@ -885,7 +885,7 @@ References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1014,7 +1014,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/github/github-setup-advanced.html b/_preview/465/foundations/github/github-setup-advanced.html
index 4872f96b..b5a9beed 100644
--- a/_preview/465/foundations/github/github-setup-advanced.html
+++ b/_preview/465/foundations/github/github-setup-advanced.html
@@ -79,7 +79,7 @@
-
+
@@ -924,7 +924,7 @@ References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1053,7 +1053,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/github/github-workflows.html b/_preview/465/foundations/github/github-workflows.html
index 18b513bd..373edd81 100644
--- a/_preview/465/foundations/github/github-workflows.html
+++ b/_preview/465/foundations/github/github-workflows.html
@@ -79,7 +79,7 @@
-
+
@@ -1253,7 +1253,7 @@ References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1382,7 +1382,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/github/review-pr.html b/_preview/465/foundations/github/review-pr.html
index d7d02729..6e3034b8 100644
--- a/_preview/465/foundations/github/review-pr.html
+++ b/_preview/465/foundations/github/review-pr.html
@@ -79,7 +79,7 @@
-
+
@@ -918,7 +918,7 @@ Resources and References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1047,7 +1047,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/github/what-is-github.html b/_preview/465/foundations/github/what-is-github.html
index d2d630bf..6e44c05b 100644
--- a/_preview/465/foundations/github/what-is-github.html
+++ b/_preview/465/foundations/github/what-is-github.html
@@ -81,7 +81,7 @@
-
+
@@ -916,7 +916,7 @@ References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1045,7 +1045,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/how-to-run-python.html b/_preview/465/foundations/how-to-run-python.html
index 1114466c..d67c4c47 100644
--- a/_preview/465/foundations/how-to-run-python.html
+++ b/_preview/465/foundations/how-to-run-python.html
@@ -79,7 +79,7 @@
-
+
@@ -871,7 +871,7 @@ Resources and References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1000,7 +1000,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/jupyter.html b/_preview/465/foundations/jupyter.html
index a7181d65..74168552 100644
--- a/_preview/465/foundations/jupyter.html
+++ b/_preview/465/foundations/jupyter.html
@@ -79,7 +79,7 @@
-
+
@@ -885,7 +885,7 @@ Resources and References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1014,7 +1014,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/jupyterlab.html b/_preview/465/foundations/jupyterlab.html
index 157af3c4..e95d00ab 100644
--- a/_preview/465/foundations/jupyterlab.html
+++ b/_preview/465/foundations/jupyterlab.html
@@ -79,7 +79,7 @@
-
+
@@ -1161,7 +1161,7 @@ Resources and references
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1290,7 +1290,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/markdown.html b/_preview/465/foundations/markdown.html
index e03793dd..40f8b7ee 100644
--- a/_preview/465/foundations/markdown.html
+++ b/_preview/465/foundations/markdown.html
@@ -79,7 +79,7 @@
-
+
@@ -754,7 +754,7 @@ Formatted Text in the Notebook with Markdown
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -883,7 +883,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/overview.html b/_preview/465/foundations/overview.html
index 98d15ae7..708a3c82 100644
--- a/_preview/465/foundations/overview.html
+++ b/_preview/465/foundations/overview.html
@@ -79,7 +79,7 @@
-
+
@@ -778,7 +778,7 @@ Topics
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -907,7 +907,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/quickstart.html b/_preview/465/foundations/quickstart.html
index 453a1577..326b7330 100644
--- a/_preview/465/foundations/quickstart.html
+++ b/_preview/465/foundations/quickstart.html
@@ -81,7 +81,7 @@
-
+
@@ -1267,7 +1267,7 @@ Resources and references
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1396,7 +1396,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/terminal.html b/_preview/465/foundations/terminal.html
index cd1f6c87..ee315523 100644
--- a/_preview/465/foundations/terminal.html
+++ b/_preview/465/foundations/terminal.html
@@ -79,7 +79,7 @@
-
+
@@ -881,7 +881,7 @@ Resources and References
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1010,7 +1010,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/foundations/why-python.html b/_preview/465/foundations/why-python.html
index 6dd08ae8..13deb51b 100644
--- a/_preview/465/foundations/why-python.html
+++ b/_preview/465/foundations/why-python.html
@@ -79,7 +79,7 @@
-
+
@@ -791,7 +791,7 @@ Open source
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -920,7 +920,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/genindex.html b/_preview/465/genindex.html
index 6e854638..80629ff0 100644
--- a/_preview/465/genindex.html
+++ b/_preview/465/genindex.html
@@ -76,7 +76,7 @@
-
+
@@ -648,7 +648,7 @@ Index
@@ -777,7 +777,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/landing-page.html b/_preview/465/landing-page.html
index ee656503..c75554ca 100644
--- a/_preview/465/landing-page.html
+++ b/_preview/465/landing-page.html
@@ -80,7 +80,7 @@
-
+
@@ -776,7 +776,7 @@ A community learning resource for Python-based computing in the geosciences<
Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/preamble/how-to-cite.html b/_preview/465/preamble/how-to-cite.html
index 044f4378..9efe7859 100644
--- a/_preview/465/preamble/how-to-cite.html
+++ b/_preview/465/preamble/how-to-cite.html
@@ -79,7 +79,7 @@
-
+
@@ -755,7 +755,7 @@ How to Cite This Book
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -884,7 +884,7 @@ Contribute
By the Project Pythia Community.
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diff --git a/_preview/465/preamble/how-to-use.html b/_preview/465/preamble/how-to-use.html
index 0bc3e20f..d6f7ac2b 100644
--- a/_preview/465/preamble/how-to-use.html
+++ b/_preview/465/preamble/how-to-use.html
@@ -79,7 +79,7 @@
-
+
@@ -895,7 +895,7 @@ Interacting with Jupyter Books locally
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
@@ -1024,7 +1024,7 @@ Contribute
By the Project Pythia Community.
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diff --git a/_preview/465/search.html b/_preview/465/search.html
index b2492ec5..7e0ad611 100644
--- a/_preview/465/search.html
+++ b/_preview/465/search.html
@@ -78,7 +78,7 @@
-
+
@@ -673,7 +673,7 @@ Search
@@ -802,7 +802,7 @@ Contribute
By the Project Pythia Community.
- Last updated on 28 April 2024.
+ Last updated on 8 May 2024.
diff --git a/_preview/465/searchindex.js b/_preview/465/searchindex.js
index 5a06a8ed..61fbb602 100644
--- a/_preview/465/searchindex.js
+++ b/_preview/465/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"2nd Derivative": [[15, "nd-derivative"]], "A community learning resource for Python-based computing in the geosciences": [[48, "a-community-learning-resource-for-python-based-computing-in-the-geosciences"]], "A content subsection": [[1, "a-content-subsection"]], "A figure with two different regional maps": [[3, "a-figure-with-two-different-regional-maps"]], "A little history and nomenclature": [[28, "a-little-history-and-nomenclature"]], "A simple query of just the year:": [[7, "a-simple-query-of-just-the-year"]], "A very first Python program": [[45, "a-very-first-python-program"]], "About version control and git": [[28, "about-version-control-and-git"]], "Access Data variables and Coordinates in a Dataset": [[23, "access-data-variables-and-coordinates-in-a-dataset"]], "Access netCDF data with xr.open_dataset": [[23, "access-netcdf-data-with-xr-open-dataset"]], "Add a Box Around the Text": [[9, "add-a-box-around-the-text"]], "Add a fancy background image to the map.": [[3, "add-a-fancy-background-image-to-the-map"]], "Add cartographic features to the map": [[3, "add-cartographic-features-to-the-map"]], "Add in the cartographic shapefiles": [[3, "add-in-the-cartographic-shapefiles"]], "Add some predefined features": [[3, "add-some-predefined-features"]], "Adding Annotations": [[9, "adding-annotations"]], "Adding labels and a grid": [[11, "adding-labels-and-a-grid"]], "Adding labels to an Axes object": [[11, "adding-labels-to-an-axes-object"]], "Adding titles to each subplot": [[11, "adding-titles-to-each-subplot"]], "Additional Resources": [[10, "additional-resources"]], "Advanced GitHub Topics": [[31, "advanced-github-topics"]], "Aggregation Methods": [[20, "aggregation-methods"]], "Aggregation operations": [[23, "aggregation-operations"]], "An example of plotting data": [[3, "an-example-of-plotting-data"]], "Animations": [[10, "animations"]], "Annotations, Colorbars, and Advanced Layouts": [[9, "annotations-colorbars-and-advanced-layouts"]], "Another content subsection": [[1, "another-content-subsection"]], "Apply & Combine": [[20, "apply-combine"]], "Applying operations to a DataFrame": [[18, "applying-operations-to-a-dataframe"]], "Approximate selection and interpolation": [[23, "approximate-selection-and-interpolation"]], "Arithmetic": [[14, "arithmetic"]], "Arithmetic Operations": [[20, "arithmetic-operations"]], "Array comparisons": [[13, "array-comparisons"]], "Array math functions": [[14, "array-math-functions"]], "Arrays of numbers with NumPy": [[45, "arrays-of-numbers-with-numpy"]], "Assign dimension names": [[23, "assign-dimension-names"]], "Auxiliary Coordinates": [[5, "auxiliary-coordinates"]], "Basic Colorbars": [[9, "basic-colorbars"]], "Basic Line Plots": [[11, "basic-line-plots"]], "Basic Python data types": [[45, "basic-python-data-types"]], "Basic Statistics": [[18, "basic-statistics"]], "Basic Version Control with git": [[28, "basic-version-control-with-git"]], "Basic concepts: map projections and GeoAxes": [[3, "basic-concepts-map-projections-and-geoaxes"]], "Basic flow control": [[45, "basic-flow-control"]], "Blocked algorithms": [[21, "blocked-algorithms"]], "Blocking": [[15, "blocking"]], "Building the book locally": [[0, "building-the-book-locally"]], "Building the site": [[0, "building-the-site"]], "Calculating ENSO with Xarray": [[22, "calculating-enso-with-xarray"]], "Calculating coastal tides with the timedelta class": [[7, "calculating-coastal-tides-with-the-timedelta-class"]], "Cartopy": [[2, "cartopy"]], "Cartopy\u2019s set_extent method": [[3, "cartopys-set-extent-method"]], "Cell Bounds": [[5, "cell-bounds"]], "Character strings (str)": [[45, "character-strings-str"]], "Checking out a previous commit": [[28, "checking-out-a-previous-commit"]], "Choosing a Python Platform": [[40, "choosing-a-python-platform"]], "Classes of colormaps": [[9, "classes-of-colormaps"]], "Clone, branch, change, commit, push": [[37, "clone-branch-change-commit-push"]], "Cloning a repository": [[32, "cloning-a-repository"]], "Cloning and Forking a Repository": [[32, "cloning-and-forking-a-repository"]], "Cloning and forking": [[32, "cloning-and-forking"]], "Cloning the remote repository": [[37, "cloning-the-remote-repository"]], "Code Cells": [[42, "code-cells"]], "Colormap Overview": [[9, "colormap-overview"]], "Command Mode Shortcuts": [[42, "command-mode-shortcuts"]], "Commands we used in this tutorial": [[28, "commands-we-used-in-this-tutorial"]], "Committing": [[28, "committing"]], "Compare across branches": [[28, "compare-across-branches"]], "Compare across commits": [[28, "compare-across-commits"]], "Comparing versions": [[28, "comparing-versions"]], "Complete Workflow": [[30, "complete-workflow"]], "Computations and Masks with Xarray": [[20, "computations-and-masks-with-xarray"]], "Compute anomaly": [[20, "compute-anomaly"]], "Compute climatology": [[20, "compute-climatology"]], "Compute the anomalies": [[22, "compute-the-anomalies"]], "Compute the result": [[21, "compute-the-result"]], "Configuring Your GitHub Account": [[36, "configuring-your-github-account"]], "Consoles": [[42, "consoles"]], "Constants": [[14, "constants"]], "Content section": [[31, "content-section"]], "Contour and Filled Contour Plots": [[11, "contour-and-filled-contour-plots"]], "Contribute to Project Pythia via GitHub": [[29, "contribute-to-project-pythia-via-github"]], "Contributing a new Jupyter Notebook": [[0, "contributing-a-new-jupyter-notebook"]], "Controlling the output format with strftime()": [[7, "controlling-the-output-format-with-strftime"]], "Coordinate System Information": [[5, "coordinate-system-information"]], "Coordinate variables": [[5, "coordinate-variables"]], "Core libraries": [[16, "core-libraries"]], "Create Some Sample Data": [[9, "create-some-sample-data"]], "Create a DataArray with named Coordinates": [[23, "create-a-dataarray-with-named-coordinates"]], "Create a Dataset object": [[23, "create-a-dataset-object"]], "Create a Pull Request": [[29, "create-a-pull-request"]], "Create a conda environment": [[0, "create-a-conda-environment"]], "Create a dask.array object": [[21, "create-a-dask-array-object"]], "Create a map with a specified projection": [[3, "create-a-map-with-a-specified-projection"]], "Create a new branch": [[37, "create-a-new-branch"]], "Create a new feature branch": [[28, "create-a-new-feature-branch"]], "Create a pressure DataArray using the same coordinates": [[23, "create-a-pressure-dataarray-using-the-same-coordinates"]], "Create a regional map centered over New York State": [[3, "create-a-regional-map-centered-over-new-york-state"]], "Create an array of \u2018data\u2019": [[14, "create-an-array-of-data"]], "Create regional maps": [[3, "create-regional-maps"]], "Creating a Conda Environment": [[24, "creating-a-conda-environment"]], "Creating a New Branch": [[30, "creating-a-new-branch"]], "Creating and filling a variable": [[5, "creating-and-filling-a-variable"]], "Creating the file and dimensions": [[5, "creating-the-file-and-dimensions"]], "Creation and basic setup": [[5, "creation-and-basic-setup"]], "Creation of a DataArray object": [[23, "creation-of-a-dataarray-object"]], "Custom Colorbars": [[9, "custom-colorbars"]], "Customize your Plot": [[18, "customize-your-plot"]], "Customizing colors": [[11, "customizing-colors"]], "Customizing the plot": [[23, "customizing-the-plot"]], "Danger": [[1, null], [5, null], [18, null], [42, null]], "Dask Arrays with Xarray": [[21, "dask-arrays-with-xarray"], [21, "id1"]], "Dask Shortcomings": [[21, "dask-shortcomings"]], "Data Formats": [[4, "data-formats"]], "Data Setup": [[20, "data-setup"]], "Datetime": [[6, "datetime"]], "Dealing with Time Zones": [[7, "dealing-with-time-zones"]], "Deleting Branches": [[30, "deleting-branches"]], "Dictionaries (dict)": [[45, "dictionaries-dict"]], "Did you know?": [[38, null], [39, null], [39, null]], "Discussions": [[33, "discussions"]], "Displaying Images": [[11, "displaying-images"]], "Domain-specific libraries": [[16, "domain-specific-libraries"]], "Email notifications": [[36, "email-notifications"]], "Example usage of the datetime object": [[7, "example-usage-of-the-datetime-object"]], "Executing Jupyter": [[26, "executing-jupyter"]], "Exercise with dask.arrays": [[21, "exercise-with-dask-arrays"]], "Exploratory Data Analysis": [[18, "exploratory-data-analysis"]], "Explore some of Cartopy\u2019s map projections": [[3, "explore-some-of-cartopys-map-projections"]], "Extend Matplotlib\u2019s axes into georeferenced GeoAxes": [[3, "extend-matplotlibs-axes-into-georeferenced-geoaxes"]], "Extending to higher dimensions": [[15, "extending-to-higher-dimensions"]], "Extending to the DataFrame": [[18, "extending-to-the-dataframe"]], "FOSS + VCS + Web = GitHub": [[39, "foss-vcs-web-github"]], "FOSS and VCS on the Internet": [[39, "foss-and-vcs-on-the-internet"]], "Figure and Axes": [[11, "figure-and-axes"]], "Finding the difference between min and max": [[15, "finding-the-difference-between-min-and-max"]], "Floating point numbers (float)": [[45, "floating-point-numbers-float"]], "Forking Workflow": [[37, "forking-workflow"]], "Forking a repository": [[32, "forking-a-repository"]], "Forking the upstream repository": [[37, "forking-the-upstream-repository"]], "Formatted Text in the Notebook with Markdown": [[43, "formatted-text-in-the-notebook-with-markdown"]], "Free \\neq open source!": [[39, null]], "Free and open-source software (FOSS)": [[39, "free-and-open-source-software-foss"]], "Full time zone support with the pytz module": [[7, "full-time-zone-support-with-the-pytz-module"]], "Generate a random numpy array": [[23, "generate-a-random-numpy-array"]], "Generate a secure personal access token for https": [[36, "generate-a-secure-personal-access-token-for-https"]], "Generate an SSH public/private keypair": [[36, "generate-an-ssh-public-private-keypair"]], "Generate test data using NumPy": [[11, "generate-test-data-using-numpy"]], "Generation": [[14, "generation"]], "Get a Quick Look at the Beginning/End of your DataFrame": [[18, "get-a-quick-look-at-the-beginning-end-of-your-dataframe"]], "Getting Started with GitHub": [[25, "getting-started-with-github"]], "Getting Started with Jupyter": [[26, "getting-started-with-jupyter"]], "Getting Started with Python": [[27, "getting-started-with-python"]], "Git Branches": [[30, "git-branches"]], "Git Feature Branch Workflow": [[37, "git-feature-branch-workflow"]], "Git commands mini-reference": [[28, "git-commands-mini-reference"]], "Git is a distributed VCS": [[28, "git-is-a-distributed-vcs"]], "Git is not GitHub": [[28, "git-is-not-github"]], "GitHub Repositories": [[35, "github-repositories"]], "GitHub Workflows": [[34, "github-workflows"], [37, "github-workflows"]], "GitHub notifications": [[36, "github-notifications"]], "GitHub secure key generation": [[36, "github-secure-key-generation"]], "GitHub workflows": [[37, "id1"]], "GitHub\u2019s distributed repositories": [[35, "githubs-distributed-repositories"]], "Giving NumPy room for broadcasting": [[15, "giving-numpy-room-for-broadcasting"]], "Going back in time": [[28, "going-back-in-time"]], "Gridded Data": [[5, "gridded-data"]], "GroupBy: Split, Apply, Combine": [[20, "groupby-split-apply-combine"]], "HTTPS vs SSH: Either is fine!": [[36, null]], "Have you forked the repository?": [[30, null]], "High level languages": [[47, "high-level-languages"]], "High-level libraries": [[16, "high-level-libraries"]], "Histograms": [[10, "histograms"]], "Histograms, Pie Charts, and Animations": [[10, "histograms-pie-charts-and-animations"]], "How to Cite This Book": [[49, "how-to-cite-this-book"]], "How to Use This Book": [[50, "how-to-use-this-book"]], "How to Use This Page": [[1, "how-to-use-this-page"]], "Imports": [[1, "imports"], [3, "imports"], [5, "imports"], [7, "imports"], [9, "imports"], [10, "imports"], [11, "imports"], [13, "imports"], [14, "imports"], [15, "imports"], [18, "imports"], [20, "imports"], [21, "imports"], [22, "imports"], [23, "imports"]], "In this section": [[8, "in-this-section"]], "Indexing": [[14, "indexing"]], "Indexing a Series": [[18, "indexing-a-series"]], "Indexing and subsetting arrays": [[14, "indexing-and-subsetting-arrays"]], "Indexing arrays with boolean values": [[13, "indexing-arrays-with-boolean-values"]], "Indexing using arrays of indices": [[13, "indexing-using-arrays-of-indices"]], "Info": [[1, null], [3, null], [3, null], [3, null], [3, null], [5, null], [5, null], [7, null], [11, null], [11, null], [11, null], [11, null], [13, null], [13, null], [14, null], [18, null], [18, null], [18, null], [18, null], [18, null], [23, null], [23, null], [23, null], [23, null], [42, null]], "Initialize the DataArray with complete coordinate info": [[23, "initialize-the-dataarray-with-complete-coordinate-info"]], "Inspect a git repository with git status": [[28, "inspect-a-git-repository-with-git-status"]], "Install pre-commit hooks": [[0, "install-pre-commit-hooks"]], "Installing Conda": [[24, "installing-conda"]], "Installing Python in Jupyter": [[41, "installing-python-in-jupyter"]], "Installing Python in the Terminal": [[46, "installing-python-in-the-terminal"]], "Installing and Managing Python with Conda": [[24, "installing-and-managing-python-with-conda"]], "Installing and Running Python": [[40, "installing-and-running-python"]], "Installing and managing Python with Conda": [[40, "installing-and-managing-python-with-conda"]], "Integers (int)": [[45, "integers-int"]], "Interacting with Jupyter Books locally": [[50, "interacting-with-jupyter-books-locally"]], "Interacting with Jupyter Notebooks in the cloud via Binder": [[50, "interacting-with-jupyter-notebooks-in-the-cloud-via-binder"]], "Intermediate NumPy": [[13, "intermediate-numpy"]], "Interpolation": [[23, "interpolation"]], "Interpreted languages": [[47, "interpreted-languages"]], "Introducing the DataArray and Dataset": [[23, "introducing-the-dataarray-and-dataset"]], "Introduction to Cartopy": [[3, "introduction-to-cartopy"]], "Introduction to Pandas": [[18, "introduction-to-pandas"]], "Introduction to Xarray": [[23, "introduction-to-xarray"]], "Investigating Extreme Values": [[18, "investigating-extreme-values"]], "Issues": [[33, "issues"]], "Issues and Discussions": [[33, "issues-and-discussions"]], "Issues with preservation of attributes": [[23, "issues-with-preservation-of-attributes"]], "Jupyter Hub": [[26, "jupyter-hub"]], "Jupyter Kernels": [[26, "jupyter-kernels"]], "Jupyter Lab": [[26, "jupyter-lab"]], "Jupyter Notebooks": [[26, "jupyter-notebooks"], [40, "jupyter-notebooks"]], "JupyterLab": [[42, "jupyterlab"]], "Keeping your dev environment up to date": [[0, "keeping-your-dev-environment-up-to-date"]], "Labels and Grid Lines": [[11, "labels-and-grid-lines"]], "Lambert Azimuthal Equal Area Projection": [[3, 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[[11, "matplotlib-basics"]], "Merging Branches": [[30, "merging-branches"]], "Mollweide Projection (often used with global satellite mosaics)": [[3, "mollweide-projection-often-used-with-global-satellite-mosaics"]], "Mosaic Subplots": [[9, "mosaic-subplots"]], "Multidimensional slicing": [[14, "multidimensional-slicing"]], "Navigate to Your Fork": [[34, "navigate-to-your-fork"]], "Nearest-neighbor sampling": [[23, "nearest-neighbor-sampling"]], "NetCDF and CF: The Basics": [[5, "netcdf-and-cf-the-basics"]], "No experience necessary!": [[39, "no-experience-necessary"]], "Note:": [[3, null]], "NumPy": [[12, "numpy"]], "NumPy Basics": [[14, "numpy-basics"]], "NumPy Broadcasting": [[15, "numpy-broadcasting"]], "NumPy-like selection": [[23, "numpy-like-selection"]], "Object Oriented languages": [[47, "object-oriented-languages"]], "Observational Data": [[5, "observational-data"]], "One more selection method: .loc": [[23, "one-more-selection-method-loc"]], "Open a Draft Pull Request": [[34, "open-a-draft-pull-request"]], "Open source": [[47, "open-source"]], "Opening a Pull Request": [[34, "opening-a-pull-request"]], "Opening a Pull Request on GitHub": [[34, "opening-a-pull-request-on-github"]], "Opening netCDF data": [[23, "opening-netcdf-data"]], "Organization of Pythia Foundations": [[50, "organization-of-pythia-foundations"]], "Other IDEs": [[40, "other-ides"]], "Other considerations": [[9, "other-considerations"]], "Other high level computation functionality": [[20, "other-high-level-computation-functionality"]], "Overview": [[1, "overview"], [3, "overview"], [5, "overview"], [7, "overview"], [9, "overview"], [10, "overview"], [11, "overview"], [13, "overview"], [14, "overview"], [15, "overview"], [16, "overview"], [18, "overview"], [20, "overview"], [22, "overview"], [23, "overview"], [24, "overview"], [26, "overview"], [40, "overview"], [41, "overview"], [42, "overview"], [44, "overview"], [46, "overview"]], "Overview:": [[28, "overview"], [29, "overview"], [30, 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all together": [[11, "putting-this-all-together"]], "Pythia Foundations": [[48, "pythia-foundations"]], "Pythia Foundations Contributor\u2019s Guide": [[0, "pythia-foundations-contributors-guide"]], "Python in Jupyter": [[41, "python-in-jupyter"]], "Python in the Terminal": [[46, "python-in-the-terminal"]], "Quick Plots of Your Data": [[18, "quick-plots-of-your-data"]], "Quickstart: Zero to Python": [[45, "quickstart-zero-to-python"]], "Raw Cells": [[42, "raw-cells"]], "Reading and writing dates and times": [[7, "reading-and-writing-dates-and-times"]], "Reading data with Dask and Xarray": [[21, "reading-data-with-dask-and-xarray"]], "References": [[28, "references"], [31, "references"], [32, "references"], [33, "references"], [34, "references"], [35, "references"], [36, "references"], [37, "references"], [39, "references"]], "Register for a free GitHub account": [[39, "register-for-a-free-github-account"]], "Remote Execution Model": [[26, "remote-execution-model"]], "Rendering 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\ No newline at end of file
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commit, push": [[37, "clone-branch-change-commit-push"]], "Cloning a repository": [[32, "cloning-a-repository"]], "Cloning and Forking a Repository": [[32, "cloning-and-forking-a-repository"]], "Cloning and forking": [[32, "cloning-and-forking"]], "Cloning the remote repository": [[37, "cloning-the-remote-repository"]], "Code Cells": [[42, "code-cells"]], "Colormap Overview": [[9, "colormap-overview"]], "Command Mode Shortcuts": [[42, "command-mode-shortcuts"]], "Commands we used in this tutorial": [[28, "commands-we-used-in-this-tutorial"]], "Committing": [[28, "committing"]], "Compare across branches": [[28, "compare-across-branches"]], "Compare across commits": [[28, "compare-across-commits"]], "Comparing versions": [[28, "comparing-versions"]], "Complete Workflow": [[30, "complete-workflow"]], "Computations and Masks with Xarray": [[20, "computations-and-masks-with-xarray"]], "Compute anomaly": [[20, "compute-anomaly"]], "Compute climatology": [[20, "compute-climatology"]], 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\ No newline at end of file
@@ -905,7 +905,7 @@
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