Skip to content

Fix broken links #4614

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
May 28, 2024
Merged

Fix broken links #4614

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
6f7d99e
fix links
LiamConnors May 27, 2024
d9fb929
remove broken link
LiamConnors May 27, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions doc/python/multiple-axes.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -357,7 +357,7 @@ fig.show()

*New in 5.13*

With overlayed axes, each axis by default has its own number of ticks. You can sync the number of ticks on a cartesian axis with another one it overlays by setting `tickmode="sync"`. In this example, we sync the ticks on the `"Total bill amount"` axis with the `"Total number of diners"` axis that it overlays.
With overlayed axes, each axis by default has its own number of ticks. You can sync the number of ticks on a cartesian axis with another one it overlays by setting `tickmode="sync"`. In this example, we sync the ticks on the `"Total bill amount"` axis with the `"Total number of diners"` axis that it overlays.

```python
import plotly.graph_objects as go
Expand Down Expand Up @@ -415,4 +415,4 @@ fig.show()
```

#### Reference
All of the y-axis properties are found here: https://plotly.com/python/reference/YAxis/. For more information on creating subplots see the [Subplots in Python](/python/subplots/) section.
All of the y-axis properties are found here: https://plotly.com/python/reference/layout/yaxis/. For more information on creating subplots see the [Subplots in Python](/python/subplots/) section.
4 changes: 2 additions & 2 deletions doc/python/subplots.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -619,8 +619,8 @@ fig = make_subplots(2, 3, horizontal_spacing=0.1)
```

#### Reference
All of the x-axis properties are found here: https://plotly.com/python/reference/XAxis/
All of the y-axis properties are found here: https://plotly.com/python/reference/YAxis/
All of the x-axis properties are found here: https://plotly.com/python/reference/layout/xaxis/
All of the y-axis properties are found here: https://plotly.com/python/reference/layout/yaxis/

```python
from plotly.subplots import make_subplots
Expand Down
8 changes: 4 additions & 4 deletions doc/python/text-and-annotations.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -122,7 +122,7 @@ IFrame(snippet_url + 'text-and-annotations', width='100%', height=1200)

### Controlling Text Size with `uniformtext`

For the [pie](/python/pie-charts), [bar](/python/bar-charts)-like, [sunburst](/python/sunburst-charts) and [treemap](/python/treemap-charts) traces, it is possible to force all the text labels to have the same size thanks to the `uniformtext` layout parameter. The `minsize` attribute sets the font size, and the `mode` attribute sets what happens for labels which cannot fit with the desired fontsize: either `hide` them or `show` them with overflow.
For the [pie](/python/pie-charts), [bar](/python/bar-charts)-like, [sunburst](/python/sunburst-charts) and [treemap](/python/treemaps) traces, it is possible to force all the text labels to have the same size thanks to the `uniformtext` layout parameter. The `minsize` attribute sets the font size, and the `mode` attribute sets what happens for labels which cannot fit with the desired fontsize: either `hide` them or `show` them with overflow.


Here is a bar chart with the default behavior which will scale down text to fit.
Expand All @@ -131,7 +131,7 @@ Here is a bar chart with the default behavior which will scale down text to fit.
import plotly.express as px

df = px.data.gapminder(year=2007)
fig = px.bar(df, x='continent', y='pop', color="lifeExp", text='country',
fig = px.bar(df, x='continent', y='pop', color="lifeExp", text='country',
title="Default behavior: some text is tiny")
fig.update_traces(textposition='inside')
fig.show()
Expand All @@ -143,7 +143,7 @@ Here is the same figure with uniform text applied: the text for all bars is the
import plotly.express as px

df = px.data.gapminder(year=2007)
fig = px.bar(df, x='continent', y='pop', color="lifeExp", text='country',
fig = px.bar(df, x='continent', y='pop', color="lifeExp", text='country',
title="Uniform Text: min size is 8, hidden if can't fit")
fig.update_traces(textposition='inside')
fig.update_layout(uniformtext_minsize=8, uniformtext_mode='hide')
Expand All @@ -162,7 +162,7 @@ fig.show()

### Controlling Maximum Text Size

The `textfont_size` parameter of the the [pie](/python/pie-charts), [bar](/python/bar-charts)-like, [sunburst](/python/sunburst-charts) and [treemap](/python/treemap-charts) traces can be used to set the **maximum font size** used in the chart. Note that the `textfont` parameter sets the `insidetextfont` and `outsidetextfont` parameter, which can also be set independently.
The `textfont_size` parameter of the the [pie](/python/pie-charts), [bar](/python/bar-charts)-like, [sunburst](/python/sunburst-charts) and [treemap](/python/treemaps) traces can be used to set the **maximum font size** used in the chart. Note that the `textfont` parameter sets the `insidetextfont` and `outsidetextfont` parameter, which can also be set independently.

```python
import plotly.express as px
Expand Down