You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: CHANGELOG.md
+16-1
Original file line number
Diff line number
Diff line change
@@ -2,12 +2,27 @@
2
2
All notable changes to this project will be documented in this file.
3
3
This project adheres to [Semantic Versioning](http://semver.org/).
4
4
5
-
## [UNRELEASED]
5
+
6
+
## UNRELEASED
7
+
8
+
### Added
9
+
10
+
-`pattern_shape` options now available in `px.timeline()`
6
11
7
12
### Updated
8
13
9
14
- Allow non-string extras in `flaglist` attributes, to support upcoming changes to `ax.automargin` in plotly.js [plotly.js#6193](https://github.com/plotly/plotly.js/pull/6193), [#3749](https://github.com/plotly/plotly.py/pull/3749)
10
15
16
+
## [5.8.2] - 2022-06-10
17
+
18
+
### Fixed
19
+
20
+
- Fixed a syntax error that caused rendering issues in Databricks notebooks and likely elsewhere. [#3763](https://github.com/plotly/plotly.py/pull/3763) with thanks to [@fwetdb](https://github.com/fwetdb)
21
+
22
+
## [5.8.1] - 2022-06-08
23
+
24
+
(no changes, due to a mixup with the build process!)
Copy file name to clipboardExpand all lines: README.md
+5-21
Original file line number
Diff line number
Diff line change
@@ -33,7 +33,7 @@
33
33
34
34
## Quickstart
35
35
36
-
`pip install plotly==5.8.0`
36
+
`pip install plotly==5.8.2`
37
37
38
38
Inside [Jupyter](https://jupyter.org/install) (installable with `pip install "jupyterlab>=3" "ipywidgets>=7.6"`):
39
39
@@ -45,15 +45,14 @@ fig.show()
45
45
46
46
See the [Python documentation](https://plotly.com/python/) for more examples.
47
47
48
-
Read about what's new in [plotly.py v4](https://medium.com/plotly/plotly-py-4-0-is-here-offline-only-express-first-displayable-anywhere-fc444e5659ee)
49
48
50
49
## Overview
51
50
52
51
[plotly.py](https://plotly.com/python/) is an interactive, open-source, and browser-based graphing library for Python :sparkles:
53
52
54
53
Built on top of [plotly.js](https://github.com/plotly/plotly.js), `plotly.py` is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.
55
54
56
-
`plotly.py` is [MIT Licensed](https://github.com/plotly/plotly.py/blob/master/LICENSE.txt). Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using [Chart Studio Cloud](https://chart-studio.plotly.com/feed/).
55
+
`plotly.py` is [MIT Licensed](https://github.com/plotly/plotly.py/blob/master/LICENSE.txt). Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or integrated into [Dash applications](https://dash.plotly.com/).
57
56
58
57
[Contact us](https://plotly.com/consulting-and-oem/) for consulting, dashboard development, application integration, and feature additions.
59
58
@@ -79,13 +78,13 @@ Built on top of [plotly.js](https://github.com/plotly/plotly.js), `plotly.py` is
79
78
plotly.py may be installed using pip...
80
79
81
80
```
82
-
pip install plotly==5.8.0
81
+
pip install plotly==5.8.2
83
82
```
84
83
85
84
or conda.
86
85
87
86
```
88
-
conda install -c plotly plotly=5.8.0
87
+
conda install -c plotly plotly=5.8.2
89
88
```
90
89
91
90
### JupyterLab Support
@@ -107,7 +106,7 @@ The instructions above apply to JupyterLab 3.x. **For JupyterLab 2 or earlier**,
Copy file name to clipboardExpand all lines: doc/python/axes.md
+7-8
Original file line number
Diff line number
Diff line change
@@ -20,7 +20,7 @@ jupyter:
20
20
name: python
21
21
nbconvert_exporter: python
22
22
pygments_lexer: ipython3
23
-
version: 3.9.0
23
+
version: 3.9.7
24
24
plotly:
25
25
description: How to adjust axes properties in Python - axes titles, styling and
26
26
coloring axes and grid lines, ticks, tick labels and more.
@@ -293,6 +293,8 @@ fig.show()
293
293
294
294
##### Step for tick labels
295
295
296
+
*New in v5.6*
297
+
296
298
You can set a step for tick labels with `ticklabelstep`. In this example, we hide labels between every `2` ticks on the y axes. Similarly, this can be used with `fig.update_xaxes` for x axes: `fig.update_xaxes(ticklabelstep=2)`.
297
299
298
300
```python
@@ -384,12 +386,10 @@ fig.show()
384
386
385
387
_new in 5.8_
386
388
387
-
You can position and style minor ticks on a Cartesian axis using `minor`. This takes a `dict` of properties to apply to minor ticks. Available properties include: `tickmode`, `tickvals`, `tickcolor`, `ticklen`, `tickwidth`, `dtick`, `tick0`, `nticks`, `ticks`, `showgrid`, `gridcolor`, `griddash`, and `gridwidth`.
389
+
You can position and style minor ticks on a Cartesian axis using the `minor` attribute. This takes a `dict` of properties to apply to minor ticks. See the [figure reference](https://plotly.com/python/reference/layout/xaxis/#layout-xaxis-minor) for full details on the accepted keys in this dict.
388
390
389
391
In the following example, we add minor ticks to the x-axis and then to the y-axis. For the y-axis we add ticks on the inside: `ticks="inside"`. On the x-axis we've specified some additional properties to style the minor ticks, setting the length of the ticks with `ticklen` and the color with `tickcolor`. We've also turned on grid lines for the x-axis minor ticks using `showgrid`.
390
392
391
-
Note: Minor ticks and grid lines are not currently supported on color bars, ternary plots, polar charts, geo plots, or on multi-categorical, or 3D axes.
By default grid lines are `solid`. Set the `griddash` property to change this style. In this example we display the x-axis grid lines as `dot`. It can also be set to `dash`,`longdash`, `dashdot`, or `longdashdot`.
493
+
By default grid lines are `solid`. Set the `griddash` property to change this style. In this example we display the x-axis grid lines as `dash` and the minor grid lines as `dot`. Other allowable values are`longdash`, `dashdot`, or `longdashdot`.
Please check out our [Troubleshooting guide](/python/troubleshooting/) if you run into any problems with JupyterLab, particularly if you are using multiple python environments inside Jupyter.
Copy file name to clipboardExpand all lines: doc/python/legend.md
+3-1
Original file line number
Diff line number
Diff line change
@@ -99,7 +99,7 @@ fig.show()
99
99
100
100
*New in v5.0*
101
101
102
-
The `legendrank` attribute of a trace can be used to control its placement within the legend, without regard for its placement in the `data` list.
102
+
The `legendrank` attribute of a trace can be used to control its placement within the legend, without regard for its placement in the `data` list.
103
103
104
104
The default `legendrank` for traces is 1000 and ties are broken as described above, meaning that any trace can be pulled up to the top if it is the only one with a legend rank less than 1000 and pushed to the bottom if it is the only one with a rank greater than 1000.
105
105
@@ -447,6 +447,8 @@ fig.show()
447
447
448
448
#### Group click toggle behavior
449
449
450
+
*New in v5.3*
451
+
450
452
You can also define the toggle behavior for when a user clicks an item in a group. Here we set the `groupclick` for the `legend` to `toggleitem`. This toggles the visibility of just the item clicked on by the user. Set to `togglegroup` and it toggles the visibility of all items in the same group as the item clicked on.
Scatters plots can be made on using any type of cartesian axis, including [linear](https://plotly.com/python/axes/), [logarithmic](https://plotly.com/python/log-plot/), [categorical](https://plotly.com/python/categorical-axes/) or [date](https://plotly.com/python/time-series/) axes.
103
+
Scatter plots can be made using any type of cartesian axis, including [linear](https://plotly.com/python/axes/), [logarithmic](https://plotly.com/python/log-plot/), [categorical](https://plotly.com/python/categorical-axes/) or [date](https://plotly.com/python/time-series/) axes.
104
104
105
105
Scatter plots where one axis is categorical are often known as [dot plots](https://plotly.com/python/dot-plots/).
Copy file name to clipboardExpand all lines: doc/python/log-plot.md
+3-3
Original file line number
Diff line number
Diff line change
@@ -20,7 +20,7 @@ jupyter:
20
20
name: python
21
21
nbconvert_exporter: python
22
22
pygments_lexer: ipython3
23
-
version: 3.9.0
23
+
version: 3.9.7
24
24
plotly:
25
25
description: How to make Log plots in Python with Plotly.
26
26
display_as: scientific
@@ -64,7 +64,7 @@ fig.show()
64
64
65
65
_new in 5.8_
66
66
67
-
You can position and style minor ticks using `minor`. This takes a `dict` of properties to apply to minor ticks. Available properties include: `tickmode`, `tickvals`, `tickcolor`, `ticklen`, `tickwidth`, `dtick`, `tick0`, `nticks`, `ticks`, `showgrid`, `gridcolor`, `griddash`, and `gridwidth`.
67
+
You can position and style minor ticks using `minor`. This takes a `dict` of properties to apply to minor ticks. See the [figure reference](https://plotly.com/python/reference/layout/xaxis/#layout-xaxis-minor) for full details on the accepted keys in this dict.
68
68
69
69
In this example we set the tick length with `ticklen`, add the ticks on the inside with `ticks="inside"`, and turn grid lines on with `howgrid=True`.
Copy file name to clipboardExpand all lines: doc/python/smith-charts.md
+4-2
Original file line number
Diff line number
Diff line change
@@ -33,6 +33,8 @@ jupyter:
33
33
thumbnail: thumbnail/contourcarpet.jpg
34
34
---
35
35
36
+
*New in v5.4*
37
+
36
38
A [Smith Chart](https://en.wikipedia.org/wiki/Smith_chart) is a specialized chart for visualizing [complex numbers](https://en.wikipedia.org/wiki/Complex_number): numbers with both a real and imaginary part.
37
39
38
40
@@ -53,7 +55,7 @@ import plotly.graph_objects as go
Copy file name to clipboardExpand all lines: doc/python/time-series.md
+15-5
Original file line number
Diff line number
Diff line change
@@ -20,7 +20,7 @@ jupyter:
20
20
name: python
21
21
nbconvert_exporter: python
22
22
pygments_lexer: ipython3
23
-
version: 3.9.0
23
+
version: 3.9.7
24
24
plotly:
25
25
description: How to plot date and time in python.
26
26
display_as: financial
@@ -139,9 +139,9 @@ fig.show()
139
139
140
140
_new in 5.8_
141
141
142
-
You can add minor ticks to an axis with `minor`. This takes a `dict` of properties to apply to minor ticks. Available properties include: `tickmode`, `tickvals`, `tickcolor`, `ticklen`, `tickwidth`, `dtick`, `tick0`, `nticks`, `ticks`, `showgrid`, `gridcolor`, `griddash`, and `gridwidth`.
142
+
You can add minor ticks to an axis with `minor`. This takes a `dict` of properties to apply to minor ticks. See the [figure reference](https://plotly.com/python/reference/layout/xaxis/#layout-xaxis-minor) for full details on the accepted keys in this dict.
143
143
144
-
In this example, we've added minor ticks to the inside of the x-axis and turned on grid lines.
144
+
In this example, we've added minor ticks to the inside of the x-axis and turned on minor grid lines.
145
145
146
146
```python
147
147
import pandas as pd
@@ -159,7 +159,7 @@ fig.show()
159
159
160
160
_new in 5.8_
161
161
162
-
You can set `dtick` on `minor` to control the spacing for minor ticks and grid lines. In the following example, by setting `dtick=7*24*3.6e6` (the number of milliseconds in a week) and setting `tick0="2016-07-04"` (the first Monday in our data), a minor tick and grid line is displayed for the start of each week. When zoomed out, we can see where each month and week begins and ends.
162
+
You can set `dtick` on `minor` to control the spacing for minor ticks and grid lines. In the following example, by setting `dtick=7*24*60*60*1000` (the number of milliseconds in a week) and setting `tick0="2016-07-03"` (the first Sunday in our data), a minor tick and grid line is displayed for the start of each week. When zoomed out, we can see where each month and week begins and ends.
0 commit comments