diff --git a/doc/python/3d-mesh.md b/doc/python/3d-mesh.md
index edec74b624..f444affa15 100644
--- a/doc/python/3d-mesh.md
+++ b/doc/python/3d-mesh.md
@@ -72,7 +72,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/3d-scatter-plots.md b/doc/python/3d-scatter-plots.md
index 46e389b565..b913bc8f56 100644
--- a/doc/python/3d-scatter-plots.md
+++ b/doc/python/3d-scatter-plots.md
@@ -77,7 +77,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/animations.md b/doc/python/animations.md
index c61162693e..763ec72842 100644
--- a/doc/python/animations.md
+++ b/doc/python/animations.md
@@ -52,7 +52,7 @@ px.scatter(df, x="gdpPercap", y="lifeExp", animation_frame="year", animation_gro
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/axes.md b/doc/python/axes.md
index 98271570a8..e058fbfe7b 100644
--- a/doc/python/axes.md
+++ b/doc/python/axes.md
@@ -128,7 +128,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/bar-charts.md b/doc/python/bar-charts.md
index 3e28be0dfe..3b2377912d 100644
--- a/doc/python/bar-charts.md
+++ b/doc/python/bar-charts.md
@@ -6,7 +6,7 @@ jupyter:
extension: .md
format_name: markdown
format_version: '1.3'
- jupytext_version: 1.16.4
+ jupytext_version: 1.17.3
kernelspec:
display_name: Python 3 (ipykernel)
language: python
@@ -20,7 +20,7 @@ jupyter:
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
- version: 3.11.10
+ version: 3.9.0
plotly:
description: How to make Bar Charts in Python with Plotly.
display_as: basic
@@ -91,7 +91,7 @@ wide_df
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
@@ -589,7 +589,7 @@ fig.update_layout(
)
```
-### Using a scatterplot to wrap long bars into multiple columns
+### Using a scatterplot to wrap long bars into multiple columns
This bar-style pictogram allows readers to focus on the relative sizes of smaller entities by wrapping the bar for largest entries into multiple columns. You could make it even more of a pictogram by using fontawesome to replace the square markers we use below with icons like mortar boards for students.
@@ -597,25 +597,25 @@ This bar-style pictogram allows readers to focus on the relative sizes of smalle
import plotly.graph_objects as go
import pandas as pd
def pictogram_bar(data, title, icon_size, max_icons_per_column=10, units_per_icon=1, unit_description="", inter_group_spacing=.8,icon_vertical_spacing=0.005):
-
+
fig = go.Figure()
x_start = 1
tick_locations = []
- #loop through each group and create a trace with its icons
+ #loop through each group and create a trace with its icons
for i, (category, value) in enumerate(data.items()):
# compute the number of icons to use to represent this category. Depending on your use case, you might replace round with floor or ceiling.
icon_count = round(value / units_per_icon)
# compute the number of columns in which to arrange the icons for this category
# using a double negative sign to convert a floor(division) operation into a ceiling(division) operation
num_columns = -(-icon_count // max_icons_per_column)
-
+
#create and populate lists of icon coordinates
x_coordinates, y_coordinates = [], []
for col in range(num_columns):
# the number of icons in this column is the lesser of the column height or
# the number of icons remaining to place
column_icons = min(max_icons_per_column, icon_count - col * max_icons_per_column)
-
+
# Create a one item list containing the x-coordinate of this column.
# Then add column_icons copies of that coordinate to the list of icon x coordinates using list multiplication.
# Normalizing the width of each within-category column to 1 simplifies the code.
@@ -634,7 +634,7 @@ def pictogram_bar(data, title, icon_size, max_icons_per_column=10, units_per_ico
hoverinfo="text",
text=[f"{category}: {value}" for _ in range(len(x_coordinates))]
))
-
+
# Add an annotation above the center of each category showing its value
fig.add_trace(go.Scatter(
x=[x_start + (num_columns - 1) / 2], # Compute the location of the center
@@ -661,7 +661,7 @@ def pictogram_bar(data, title, icon_size, max_icons_per_column=10, units_per_ico
),
yaxis=dict(
title=f"Each icon represents {units_per_icon:,g} {unit_description}",
- # The y-axis goes above the top icon to make room for the annotations.
+ # The y-axis goes above the top icon to make room for the annotations.
# We set tick values so the axis labeling does not go above the top icon.
# If you choose a value of max_icons_per_column that is not a multiple of 5, consider changing this.
tickvals=list(range(0,max_icons_per_column+1,5)),
@@ -669,10 +669,10 @@ def pictogram_bar(data, title, icon_size, max_icons_per_column=10, units_per_ico
zeroline=False,
),
# We have already got all the labeling we need so we suppress the legend.
- showlegend=False,
+ showlegend=False,
height=700,
# The x-coordinates scale to fill available space, so adjusting the width of the image is a good way to adjust spacing between columns.
- width=(len(data) * 150 + 50)
+ width=(len(data) * 150 + 50)
)
fig.show()
diff --git a/doc/python/bio-volcano-plot.md b/doc/python/bio-volcano-plot.md
index 0b3ea56f0b..d28d184568 100644
--- a/doc/python/bio-volcano-plot.md
+++ b/doc/python/bio-volcano-plot.md
@@ -7,7 +7,7 @@ jupyter:
extension: .md
format_name: markdown
format_version: '1.3'
- jupytext_version: 1.13.0
+ jupytext_version: 1.17.3
kernelspec:
display_name: Python 3 (ipykernel)
language: python
@@ -21,7 +21,7 @@ jupyter:
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
- version: 3.9.7
+ version: 3.9.0
plotly:
display_as: bio
language: python
diff --git a/doc/python/box-plots.md b/doc/python/box-plots.md
index 1eaec475db..0dff5c64ed 100644
--- a/doc/python/box-plots.md
+++ b/doc/python/box-plots.md
@@ -69,7 +69,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
from IPython.display import IFrame
diff --git a/doc/python/builtin-colorscales.md b/doc/python/builtin-colorscales.md
index a9eb672c3f..280671f3fe 100644
--- a/doc/python/builtin-colorscales.md
+++ b/doc/python/builtin-colorscales.md
@@ -78,7 +78,7 @@ print(px.colors.sequential.Plasma)
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/candlestick-charts.md b/doc/python/candlestick-charts.md
index 06273b4ad4..36712d47d3 100644
--- a/doc/python/candlestick-charts.md
+++ b/doc/python/candlestick-charts.md
@@ -78,7 +78,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/choropleth-maps.md b/doc/python/choropleth-maps.md
index 7f9984478f..78573bcf31 100644
--- a/doc/python/choropleth-maps.md
+++ b/doc/python/choropleth-maps.md
@@ -147,7 +147,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
from IPython.display import IFrame
diff --git a/doc/python/colorscales.md b/doc/python/colorscales.md
index 61e84314d4..3ff95da099 100644
--- a/doc/python/colorscales.md
+++ b/doc/python/colorscales.md
@@ -94,7 +94,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/creating-and-updating-figures.md b/doc/python/creating-and-updating-figures.md
index b23d69e41b..f5d40ba03e 100644
--- a/doc/python/creating-and-updating-figures.md
+++ b/doc/python/creating-and-updating-figures.md
@@ -131,7 +131,7 @@ print("\n\n")
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/discrete-color.md b/doc/python/discrete-color.md
index 39d676bff3..ed571cd11a 100644
--- a/doc/python/discrete-color.md
+++ b/doc/python/discrete-color.md
@@ -103,7 +103,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
from IPython.display import IFrame
diff --git a/doc/python/distplot.md b/doc/python/distplot.md
index 2d322e939d..07480a3925 100644
--- a/doc/python/distplot.md
+++ b/doc/python/distplot.md
@@ -60,7 +60,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/figure-labels.md b/doc/python/figure-labels.md
index ffd652c3cb..5cd49cb91d 100644
--- a/doc/python/figure-labels.md
+++ b/doc/python/figure-labels.md
@@ -110,7 +110,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash dash-daq`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
from IPython.display import IFrame
diff --git a/doc/python/figure-structure.md b/doc/python/figure-structure.md
index f55abad91b..495f1a4497 100644
--- a/doc/python/figure-structure.md
+++ b/doc/python/figure-structure.md
@@ -53,7 +53,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/filled-area-plots.md b/doc/python/filled-area-plots.md
index 33446f0293..d475049204 100644
--- a/doc/python/filled-area-plots.md
+++ b/doc/python/filled-area-plots.md
@@ -52,7 +52,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
@@ -133,9 +133,9 @@ fig.show()
*New in 5.20*
-Scatter traces with a fill support a `fillgradient`, which is a `dict` of options that defines the gradient. Use `fillgradient.colorscale` to define the [colorscale](https://plotly.com/python/colorscales) for the gradient and choose a `type` to define the orientation of the gradient (`'horizontal'`, `'vertical'` or `'radial'`).
+Scatter traces with a fill support a `fillgradient`, which is a `dict` of options that defines the gradient. Use `fillgradient.colorscale` to define the [colorscale](https://plotly.com/python/colorscales) for the gradient and choose a `type` to define the orientation of the gradient (`'horizontal'`, `'vertical'` or `'radial'`).
-In the following example, we've defined a `horizontal` `fillgradient` with a colorscale of three colors.
+In the following example, we've defined a `horizontal` `fillgradient` with a colorscale of three colors.
```python
import plotly.graph_objects as go
diff --git a/doc/python/getting-started.md b/doc/python/getting-started.md
index 6b4b1686e0..c50cceff19 100644
--- a/doc/python/getting-started.md
+++ b/doc/python/getting-started.md
@@ -79,7 +79,7 @@ You'll also need to install a [supported dataframe library](/python/px-arguments
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/heatmaps.md b/doc/python/heatmaps.md
index c4d74f4e3a..cbbc73fa81 100644
--- a/doc/python/heatmaps.md
+++ b/doc/python/heatmaps.md
@@ -97,7 +97,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/histograms.md b/doc/python/histograms.md
index aca2c25b3d..004dff0aee 100644
--- a/doc/python/histograms.md
+++ b/doc/python/histograms.md
@@ -104,7 +104,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/horizontal-vertical-shapes.md b/doc/python/horizontal-vertical-shapes.md
index 02ec841723..67417f2e46 100644
--- a/doc/python/horizontal-vertical-shapes.md
+++ b/doc/python/horizontal-vertical-shapes.md
@@ -71,7 +71,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
@@ -95,9 +95,9 @@ import plotly.express as px
df = px.data.stocks(indexed=True)
fig = px.line(df)
fig.add_hline(y=1, line_dash="dot",
- annotation_text="Jan 1, 2018 baseline",
+ annotation_text="Jan 1, 2018 baseline",
annotation_position="bottom right")
-fig.add_vrect(x0="2018-09-24", x1="2018-12-18",
+fig.add_vrect(x0="2018-09-24", x1="2018-12-18",
annotation_text="decline", annotation_position="top left",
fillcolor="green", opacity=0.25, line_width=0)
fig.show()
@@ -111,12 +111,12 @@ import plotly.express as px
df = px.data.stocks(indexed=True)
fig = px.line(df)
fig.add_hline(y=1, line_dash="dot",
- annotation_text="Jan 1, 2018 baseline",
+ annotation_text="Jan 1, 2018 baseline",
annotation_position="bottom right",
annotation_font_size=20,
annotation_font_color="blue"
)
-fig.add_vrect(x0="2018-09-24", x1="2018-12-18",
+fig.add_vrect(x0="2018-09-24", x1="2018-12-18",
annotation_text="decline", annotation_position="top left",
annotation=dict(font_size=20, font_family="Times New Roman"),
fillcolor="green", opacity=0.25, line_width=0)
@@ -132,7 +132,7 @@ import plotly.express as px
df = px.data.stocks(indexed=True)
fig = px.line(df, facet_col="company", facet_col_wrap=2)
fig.add_hline(y=1, line_dash="dot", row=3, col="all",
- annotation_text="Jan 1, 2018 baseline",
+ annotation_text="Jan 1, 2018 baseline",
annotation_position="bottom right")
fig.add_vrect(x0="2018-09-24", x1="2018-12-18", row="all", col=1,
annotation_text="decline", annotation_position="top left",
@@ -176,11 +176,11 @@ fig.show()
```
-With [text labels on shapes](/python/shapes/#adding-text-labels-to-shapes), you can also add text labels to shapes other than lines and rectangles, and the labels can be added automatically to shapes drawn by the user.
+With [text labels on shapes](/python/shapes/#adding-text-labels-to-shapes), you can also add text labels to shapes other than lines and rectangles, and the labels can be added automatically to shapes drawn by the user.
### Reference
-More details are available about [layout shapes](/python/shapes/) and [annotations](/python/text-and-annotations).
+More details are available about [layout shapes](/python/shapes/) and [annotations](/python/text-and-annotations).
Reference documentation is also available for [`add_hline`](https://plotly.com/python-api-reference/generated/plotly.graph_objects.Figure.html?highlight=add_hline#plotly.graph_objects.Figure.add_hline), [`add_vline`](https://plotly.com/python-api-reference/generated/plotly.graph_objects.Figure.html?highlight=add_vline#plotly.graph_objects.Figure.add_vline), [`add_hrect`](https://plotly.com/python-api-reference/generated/plotly.graph_objects.Figure.html?highlight=add_hrect#plotly.graph_objects.Figure.add_hrect), [`add_vrect`](https://plotly.com/python-api-reference/generated/plotly.graph_objects.Figure.html?highlight=add_vrect#plotly.graph_objects.Figure.add_vrect).
diff --git a/doc/python/hover-text-and-formatting.md b/doc/python/hover-text-and-formatting.md
index cdbc4058da..b110c8720d 100644
--- a/doc/python/hover-text-and-formatting.md
+++ b/doc/python/hover-text-and-formatting.md
@@ -138,7 +138,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
Change the hovermode below and try hovering over the points:
diff --git a/doc/python/interactive-html-export.md b/doc/python/interactive-html-export.md
index 461afe7f54..dc33813570 100644
--- a/doc/python/interactive-html-export.md
+++ b/doc/python/interactive-html-export.md
@@ -104,7 +104,7 @@ with open(output_html_path, "w", encoding="utf-8") as output_file:
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/legend.md b/doc/python/legend.md
index 6fc879fbc9..20021699be 100644
--- a/doc/python/legend.md
+++ b/doc/python/legend.md
@@ -194,7 +194,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/line-and-scatter.md b/doc/python/line-and-scatter.md
index 51291cfaa5..b82312afcc 100644
--- a/doc/python/line-and-scatter.md
+++ b/doc/python/line-and-scatter.md
@@ -89,7 +89,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
@@ -284,7 +284,7 @@ fig.update_traces(textposition="bottom right")
fig.show()
```
-### Swarm (or Beeswarm) Plots
+### Swarm (or Beeswarm) Plots
Swarm plots show the distribution of values in a column by giving each entry one dot and adjusting the y-value so that dots do not overlap and appear symmetrically around the y=0 line. They complement [histograms](https://plotly.com/python/histograms/), [box plots](https://plotly.com/python/box-plots/), and [violin plots](https://plotly.com/python/violin/). This example could be generalized to implement a swarm plot for multiple categories by adjusting the y-coordinate for each category.
@@ -296,7 +296,7 @@ import collections
def negative_1_if_count_is_odd(count):
# if this is an odd numbered entry in its bin, make its y coordinate negative
- # the y coordinate of the first entry is 0, so entries 3, 5, and 7 get
+ # the y coordinate of the first entry is 0, so entries 3, 5, and 7 get
# negative y coordinates
if count % 2 == 1:
return -1
@@ -312,9 +312,9 @@ def swarm(
gap_multiplier=1.2,
bin_fraction=0.95, # slightly undersizes the bins to avoid collisions
):
- # sorting will align columns in attractive c-shaped arcs rather than having
+ # sorting will align columns in attractive c-shaped arcs rather than having
# columns that vary unpredictably in the x-dimension.
- # We also exploit the fact that sorting means we see bins sequentially when
+ # We also exploit the fact that sorting means we see bins sequentially when
# we add collision prevention offsets.
X_series = X_series.copy().sort_values()
@@ -341,9 +341,9 @@ def swarm(
list_of_rows.append(
{"x": x_val, "y_slot": bin_counter[bin], "bin": bin})
- # iterate through the points and "offset" any that are colliding with a
+ # iterate through the points and "offset" any that are colliding with a
# point to their left apply the offsets to all subsequent points in the same bin.
- # this arranges points in an attractive swarm c-curve where the points
+ # this arranges points in an attractive swarm c-curve where the points
# toward the edges are (weakly) further right.
bin = 0
offset = 0
@@ -360,21 +360,21 @@ def swarm(
and (((fig_width*(row["x"]-other_row["x"]))/(max_x-min_x)
// point_size) < 1)):
offset += 1
- # update the bin count so we know whether the number of
+ # update the bin count so we know whether the number of
# *used* slots is even or odd
bin_counter.update([bin])
row["y_slot"] += offset
# The collision free y coordinate gives the items in a vertical bin
- # y-coordinates to evenly spread their locations above and below the
- # y-axis (we'll make a correction below to deal with even numbers of
+ # y-coordinates to evenly spread their locations above and below the
+ # y-axis (we'll make a correction below to deal with even numbers of
# entries). For now, we'll assign 0, 1, -1, 2, -2, 3, -3 ... and so on.
- # We scale this by the point_size*gap_multiplier to get a y coordinate
+ # We scale this by the point_size*gap_multiplier to get a y coordinate
# in px.
row["y"] = (row["y_slot"]//2) * \
negative_1_if_count_is_odd(row["y_slot"])*point_size*gap_multiplier
- # if the number of points is even, move y-coordinates down to put an equal
+ # if the number of points is even, move y-coordinates down to put an equal
# number of entries above and below the axis
for row in list_of_rows:
if bin_counter[row["bin"]] % 2 == 0:
@@ -384,8 +384,8 @@ def swarm(
# One way to make this code more flexible to e.g. handle multiple categories
# would be to return a list of "swarmified" y coordinates here and then plot
# outside the function.
- # That generalization would let you "swarmify" y coordinates for each
- # category and add category specific offsets to put the each category in its
+ # That generalization would let you "swarmify" y coordinates for each
+ # category and add category specific offsets to put the each category in its
# own row
fig = px.scatter(
@@ -394,7 +394,7 @@ def swarm(
y="y",
title=fig_title,
)
- # we want to suppress the y coordinate in the hover value because the
+ # we want to suppress the y coordinate in the hover value because the
# y-coordinate is irrelevant/misleading
fig.update_traces(
marker_size=point_size,
diff --git a/doc/python/line-charts.md b/doc/python/line-charts.md
index 840abdfa76..ad355e0af4 100644
--- a/doc/python/line-charts.md
+++ b/doc/python/line-charts.md
@@ -62,7 +62,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true tags=[]
diff --git a/doc/python/marker-style.md b/doc/python/marker-style.md
index 7016143f24..a7bd085e7b 100644
--- a/doc/python/marker-style.md
+++ b/doc/python/marker-style.md
@@ -112,7 +112,7 @@ Fully opaque, the default setting, is useful for non-overlapping markers. When m
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
from IPython.display import IFrame
diff --git a/doc/python/ml-knn.md b/doc/python/ml-knn.md
index 28ff33469b..70f572dc05 100644
--- a/doc/python/ml-knn.md
+++ b/doc/python/ml-knn.md
@@ -240,7 +240,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/ml-regression.md b/doc/python/ml-regression.md
index 5215058286..15b5f98170 100644
--- a/doc/python/ml-regression.md
+++ b/doc/python/ml-regression.md
@@ -95,7 +95,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/ml-roc-pr.md b/doc/python/ml-roc-pr.md
index 8c4bd7e40d..71cc38389e 100644
--- a/doc/python/ml-roc-pr.md
+++ b/doc/python/ml-roc-pr.md
@@ -123,7 +123,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/multiple-axes.md b/doc/python/multiple-axes.md
index 11cbf0261a..e792797c2d 100644
--- a/doc/python/multiple-axes.md
+++ b/doc/python/multiple-axes.md
@@ -79,7 +79,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/network-graphs.md b/doc/python/network-graphs.md
index c9d85b5aa3..f28a697c32 100644
--- a/doc/python/network-graphs.md
+++ b/doc/python/network-graphs.md
@@ -157,7 +157,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash dash-cytoscape`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/pie-charts.md b/doc/python/pie-charts.md
index c03e37aba6..7636a09987 100644
--- a/doc/python/pie-charts.md
+++ b/doc/python/pie-charts.md
@@ -68,7 +68,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
from IPython.display import IFrame
diff --git a/doc/python/plot-data-from-csv.md b/doc/python/plot-data-from-csv.md
index 1f1a30269b..b257aea9de 100644
--- a/doc/python/plot-data-from-csv.md
+++ b/doc/python/plot-data-from-csv.md
@@ -60,7 +60,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/plotly-express.md b/doc/python/plotly-express.md
index f3cbf1d81d..73f402df5e 100644
--- a/doc/python/plotly-express.md
+++ b/doc/python/plotly-express.md
@@ -89,7 +89,7 @@ The Plotly Express API in general offers the following features:
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/renderers.md b/doc/python/renderers.md
index bdf18301db..76874bd292 100644
--- a/doc/python/renderers.md
+++ b/doc/python/renderers.md
@@ -234,7 +234,7 @@ fig.show(renderer="png", width=800, height=300)
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/sankey-diagram.md b/doc/python/sankey-diagram.md
index a014e5a508..7531c332ae 100644
--- a/doc/python/sankey-diagram.md
+++ b/doc/python/sankey-diagram.md
@@ -108,7 +108,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/setting-graph-size.md b/doc/python/setting-graph-size.md
index 717c25341d..cfdf8e1f7e 100644
--- a/doc/python/setting-graph-size.md
+++ b/doc/python/setting-graph-size.md
@@ -55,7 +55,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
from IPython.display import IFrame
diff --git a/doc/python/shapes.md b/doc/python/shapes.md
index f14e2e7d3d..d8e79260c6 100644
--- a/doc/python/shapes.md
+++ b/doc/python/shapes.md
@@ -73,7 +73,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/subplots.md b/doc/python/subplots.md
index b5711ee5de..ce16bdfedd 100644
--- a/doc/python/subplots.md
+++ b/doc/python/subplots.md
@@ -215,7 +215,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/table.md b/doc/python/table.md
index 36a7ebcd1d..1262e6b21b 100644
--- a/doc/python/table.md
+++ b/doc/python/table.md
@@ -94,7 +94,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
from IPython.display import IFrame
diff --git a/doc/python/text-and-annotations.md b/doc/python/text-and-annotations.md
index 56f341e872..3ed95a6d63 100644
--- a/doc/python/text-and-annotations.md
+++ b/doc/python/text-and-annotations.md
@@ -107,7 +107,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
@@ -804,18 +804,18 @@ fig.update_layout(
yref="container",
y=0.005,
# The "paper" x-coordinates lets us align this with either the right or left
- # edge of the plot region.
- # The code to align this flush with the right edge of the plot area is
- # predictable and simple.
+ # edge of the plot region.
+ # The code to align this flush with the right edge of the plot area is
+ # predictable and simple.
# Putting the title in the lower left corner, aligned with the left edge of the axis labeling would
# require graph specific coordinate adjustments.
xref="paper",
xanchor="right",
- x=1,
+ x=1,
font=dict(size=12)),
plot_bgcolor="white",
- # We move the legend out of the right margin so the right-aligned note is
+ # We move the legend out of the right margin so the right-aligned note is
# flush with the right most element of the graph.
# Here we put the legend in a corner of the graph region
# because it has consistent coordinates at all screen resolutions.
@@ -827,18 +827,18 @@ fig.update_layout(
borderwidth=1)
)
-# Insert a title by repurposing an annotation
+# Insert a title by repurposing an annotation
fig.add_annotation(
yref="paper",
yanchor="bottom",
- y=1.025, # y = 1 is the top of the plot area; the top is typically uncluttered, so placing
+ y=1.025, # y = 1 is the top of the plot area; the top is typically uncluttered, so placing
# the bottom of the title slightly above the graph region works on a wide variety of graphs
text="This title is a Plotly annotation",
# Center the title horizontally over the plot area
xref="paper",
xanchor="center",
- x=0.5,
+ x=0.5,
showarrow=False,
font=dict(size=18)
diff --git a/doc/python/tick-formatting.md b/doc/python/tick-formatting.md
index dafac06c58..d1f2d0c1a1 100644
--- a/doc/python/tick-formatting.md
+++ b/doc/python/tick-formatting.md
@@ -84,7 +84,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/tile-county-choropleth.md b/doc/python/tile-county-choropleth.md
index 06f6bd7b2d..00162ecedd 100644
--- a/doc/python/tile-county-choropleth.md
+++ b/doc/python/tile-county-choropleth.md
@@ -107,7 +107,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
diff --git a/doc/python/time-series.md b/doc/python/time-series.md
index bc3ee71df1..c0952d51e6 100644
--- a/doc/python/time-series.md
+++ b/doc/python/time-series.md
@@ -65,7 +65,7 @@ fig.show()
[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
-Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & publish apps like this with Dash Enterprise or Plotly Cloud.**
```python hide_code=true
@@ -174,14 +174,14 @@ df = df.loc[(df["Date"] >= "2016-07-01") & (df["Date"] <= "2016-12-01")]
fig = px.line(df, x='Date', y='AAPL.High')
fig.update_xaxes(ticks= "outside",
- ticklabelmode= "period",
- tickcolor= "black",
- ticklen=10,
+ ticklabelmode= "period",
+ tickcolor= "black",
+ ticklen=10,
minor=dict(
- ticklen=4,
- dtick=7*24*60*60*1000,
- tick0="2016-07-03",
- griddash='dot',
+ ticklen=4,
+ dtick=7*24*60*60*1000,
+ tick0="2016-07-03",
+ griddash='dot',
gridcolor='white')
)