More tweaks to examples

doc/api.rst

@@ -7,8 +7,8 @@ API reference
 
 .. _basic_api:
 
-Basic plots
------------
+Relational plots
+----------------
 
 .. autosummary::
     :toctree: generated
@@ -24,6 +24,7 @@ Categorical plots
 .. autosummary::
     :toctree: generated/
 
+    factorplot
     stripplot
     swarmplot
     boxplot
@@ -41,6 +42,8 @@ Distribution plots
 .. autosummary::
     :toctree: generated/
 
+    jointplot
+    pairplot
     distplot
     kdeplot
     rugplot
@@ -53,6 +56,7 @@ Regression plots
 .. autosummary::
     :toctree: generated/
 
+    lmplot
     regplot
     residplot
 
@@ -76,12 +80,8 @@ Multi-plot grids
    :toctree: generated/
 
     FacetGrid
-    factorplot
-    lmplot
     PairGrid
-    pairplot
     JointGrid
-    jointplot
 
 .. _style_api:
 

doc/index.rst

@@ -27,19 +27,19 @@ seaborn: statistical data visualization
     <div style="clear: both"></div>
     <div class="container-fluid hidden-xs hidden-sm">
       <div class="row">
-        <a href="examples/different_scatter_variables.html">
+        <a href="examples/scatterplot_matrix.html">
           <div class="col-md-2 thumbnail">
-            <img src="_static/different_scatter_variables_thumb.png">
+            <img src="_static/scatterplot_matrix_thumb.png">
           </div>
         </a>
         <a href="examples/errorband_lineplots.html">
           <div class="col-md-2 thumbnail">
             <img src="_static/errorband_lineplots_thumb.png">
           </div>
         </a>
-        <a href="examples/scatterplot_matrix.html">
+        <a href="examples/different_scatter_variables.html">
           <div class="col-md-2 thumbnail">
-            <img src="_static/scatterplot_matrix_thumb.png">
+            <img src="_static/different_scatter_variables_thumb.png">
           </div>
         </a>
         <a href="examples/horizontal_boxplot.html">
@@ -109,11 +109,11 @@ To see the code or report a bug, please visit the `github repository
        </div>
        <div class="panel-body">
 
-* Basic: :ref:`API <basic_api>` | :ref:`Tutorial <basic_tutorial>`
+* Relational: :ref:`API <basic_api>` | :ref:`Tutorial <basic_tutorial>`
 * Categorical: :ref:`API <categorical_api>` | :ref:`Tutorial <categorical_tutorial>`
-* Distribution: :ref:`API <distribution_api>` | :ref:`Tutorial <distribution_tutorial>`
-* Regression: :ref:`API <regression_api>` | :ref:`Tutorial <regression_tutorial>`
-* Multi-plot: :ref:`API <grid_api>` | :ref:`Tutorial <grid_tutorial>`
+* Distributions: :ref:`API <distribution_api>` | :ref:`Tutorial <distribution_tutorial>`
+* Regressions: :ref:`API <regression_api>` | :ref:`Tutorial <regression_tutorial>`
+* Multiples: :ref:`API <grid_api>` | :ref:`Tutorial <grid_tutorial>`
 * Style: :ref:`API <style_api>` | :ref:`Tutorial <aesthetics_tutorial>`
 * Color: :ref:`API <palette_api>` | :ref:`Tutorial <palette_tutorial>`
 

examples/different_scatter_variables.py

@@ -2,20 +2,24 @@
 Scatterplot with categorical and numerical semantics
 ====================================================
 
-_thumb: .55, .5
+_thumb: .45, .5
 
 """
 import seaborn as sns
 import matplotlib.pyplot as plt
-sns.set(style="white", palette="muted")
+sns.set(style="whitegrid")
 
 # Load the example iris dataset
-iris = sns.load_dataset("iris")
+diamonds = sns.load_dataset("diamonds")
 
-# Draw a scatter plot while assigning point colors and sizes
-# to different variables in the dataset
+# Draw a scatter plot while assigning point colors and sizes to different
+# variables in the dataset
 f, ax = plt.subplots(figsize=(6.5, 6.5))
-ax = sns.scatterplot(x="sepal_length", y="sepal_width",
-                     hue="species", size="petal_width",
-                     sizes=(50, 250), alpha=.75,
-                     data=iris)
+sns.despine(f, left=True, bottom=True)
+clarity_ranking = ["I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF"]
+sns.scatterplot(x="carat", y="price",
+                hue="clarity", size="depth",
+                palette="ch:r=-.2,d=.3_r",
+                hue_order=clarity_ranking,
+                sizes=(1, 8), linewidth=0,
+                data=diamonds, ax=ax)

examples/errorband_lineplots.py

@@ -2,7 +2,7 @@
 Timeseries plot with error bands
 ================================
 
-_thumb: .5, .45
+_thumb: .48, .45
 
 """
 import seaborn as sns

examples/grouped_boxplot.py

@@ -2,13 +2,17 @@
 Grouped boxplots
 ================
 
+_thumb: .66, .45
+
 """
 import seaborn as sns
-sns.set(style="ticks")
+sns.set(style="ticks", palette="pastel")
 
 # Load the example tips dataset
 tips = sns.load_dataset("tips")
 
-# Draw a nested boxplot to show bills by day and sex
-sns.boxplot(x="day", y="total_bill", hue="sex", data=tips, palette="PRGn")
+# Draw a nested boxplot to show bills by day and time
+sns.boxplot(x="day", y="total_bill",
+            hue="smoker", palette=["m", "g"],
+            data=tips)
 sns.despine(offset=10, trim=True)

examples/grouped_violinplots.py

@@ -2,7 +2,7 @@
 Grouped violinplots with split violins
 ======================================
 
-_thumb: .5, .47
+_thumb: .43, .47
 """
 import seaborn as sns
 sns.set(style="whitegrid", palette="pastel", color_codes=True)
@@ -11,6 +11,8 @@
 tips = sns.load_dataset("tips")
 
 # Draw a nested violinplot and split the violins for easier comparison
-sns.violinplot(x="day", y="total_bill", hue="sex", data=tips, split=True,
-               inner="quart", palette={"Male": "b", "Female": "y"})
+sns.violinplot(x="day", y="total_bill", hue="smoker",
+               split=True, inner="quart",
+               palette={"Yes": "y", "No": "b"},
+               data=tips)
 sns.despine(left=True)

examples/paired_pointplots.py

@@ -15,6 +15,6 @@
                  size=5, aspect=.5)
 
 # Draw a seaborn pointplot onto each Axes
-g.map(sns.pointplot, color=sns.xkcd_rgb["plum"])
+g.map(sns.pointplot, scale=1.3, errwidth=4, color="xkcd:plum")
 g.set(ylim=(0, 1))
 sns.despine(fig=g.fig, left=True)

examples/regression_marginals.py

@@ -2,7 +2,7 @@
 Linear regression with marginal distributions
 =============================================
 
-_thumb: .5, .6
+_thumb: .65, .65
 """
 import seaborn as sns
 sns.set(style="darkgrid")