Plotly

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4.11.0

Updated

- Updated Plotly.js to version 1.56.0. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.56.0/CHANGELOG.md) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module.

4.10.0

Added

- Added `plotly.io.full_figure_for_development()` and `plotly.graph_objects.Figure.full_figure_for_development()` ([2737](https://github.com/plotly/plotly.py/pull/2737))

Updated

- The JSON serialization of plotly figures had been accelerated by handling
differently figures with and without NaN and Inf values ([2880](https://github.com/plotly/plotly.py/pull/2880)).

Updated

- Updated Plotly.js to version 1.55.2. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.55.2/CHANGELOG.md) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module.
- `px.imshow` has a new `binary_string` boolean argument, which passes the
image data as a b64 binary string when True. Using binary strings allow for
faster image rendering and smaller figure size. Additional optional arguments
`binary_backend`, `binary_format` and `binary_compression_level` control
how to generate the b64 string ([2691](https://github.com/plotly/plotly.py/pull/2691)
- `px.imshow` has a new `contrast_rescaling` argument in order to choose how
to set data values corresponding to the bounds of the color range
([2691](https://github.com/plotly/plotly.py/pull/2691)

Fixed

- Plotly Express no longer converts datetime columns of input dataframes to UTC ([2749](https://github.com/plotly/plotly.py/pull/2749))
- Plotly Express has more complete support for datetimes as additional `hover_data` ([2749](https://github.com/plotly/plotly.py/pull/2749))
- Histogram selection behaviour with `FigureWidget` ([2711](https://github.com/plotly/plotly.py/pull/2711)) with thanks to [meffmadd](https://github.com/meffmadd)
- Behaviour of `full_html()` with `html=False` ([2469](https://github.com/plotly/plotly.py/pull/2469)) with thanks to [tallamjr](https://github.com/tallamjr)
- `ff.distplot()` now only computes traces that will be shown ([2730](https://github.com/plotly/plotly.py/pull/2730)) with thanks to [akbo](https://github.com/akbo)
- Pandas backend `.hist()` works with latest version of Pandas ([2713](https://github.com/plotly/plotly.py/pull/2713)) with thanks to [Kerybas](https://github.com/Kerybas)

4.9.0

Added

- Added image export support using [Kaleido](https://github.com/plotly/Kaleido). The image export backend can be configured using the new `engine` argument to `plotly.io.to_image` and `plotly.io.write_image`. The `engine` argument may be set to `"kaleido"`, `"orca"`, or `"auto"`. The default is `engine="auto"`, in which case the Kaleido backend is enabled if the `kaleido` package from PyPI is installed, otherwise Orca is used. ([#2613](https://github.com/plotly/plotly.py/pull/2613)).
- `plotly.express.timeline()` added as an official alternative to `plotly.figure_factories.create_gantt()` ([2626](https://github.com/plotly/plotly.py/pull/2626))
- `create_hexbin_mapbox()` added to Figure Factories, with thanks to [RenaudLN](https://github.com/RenaudLN) for the impressive contribution!
- `facet_row_spacing` and `facet_col_spacing` added to Plotly Express cartesian 2d functions ([2614](https://github.com/plotly/plotly.py/pull/2614))
- `base` added to Plotly Express `bar` and `bar_polar` functions ([2626](https://github.com/plotly/plotly.py/pull/2626))
- `px.NO_COLOR` constant to override wide-form color assignment in Plotly Express ([2614](https://github.com/plotly/plotly.py/pull/2614))

Fixed

- trendline traces are now of type `scattergl` when `render_mode="webgl"` in Plotly Express ([2614](https://github.com/plotly/plotly.py/pull/2614))
- regression from 4.8.1 whereby `"parent"` was not accepted as part of `path` for `px.sunburst()` and `px.treemap()` ([2640](https://github.com/plotly/plotly.py/pull/2640))
- `create_dendrogram()` figure factory now works correctly with `scipy` 1.5.1 ([2627](https://github.com/plotly/plotly.py/pull/2627))

Updated

- Updated Plotly.js to version 1.54.6. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.54.6/CHANGELOG.md) for more information.
- Added all cartesian-2d Plotly Express functions, plus `imshow`, to Pandas backend with `kind` option ([2541](https://github.com/plotly/plotly.py/pull/2541))
- `plotly.express.imshow` now uses data frame index and columns names and values to populate axis parameters by default ([2539](https://github.com/plotly/plotly.py/pull/2539))
- Javascript extensions are now build using Node 12, and have an updated `package-lock.json` with many fewer security warnings ([2636](https://github.com/plotly/plotly.py/pull/2636))

4.8.2

Not secure
Updated

- Updated Plotly.js to version 1.54.5. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.54.5/CHANGELOG.md) for more information.
- `add_traces()` now accepts bare `int`-like values for `rows`/`cols` as well as lists thereof ([2546](https://github.com/plotly/plotly.py/pull/2546)), with thanks to [MCBoarder289](https://github.com/MCBoarder289) for the contribution!

Fixed

- `row`/`col` now accept `int`-like values, not strictly `int` values ([2451](https://github.com/plotly/plotly.py/pull/2451)), with thanks to [MCBoarder289](https://github.com/MCBoarder289) for the contribution!
- Fixed special cases with `px.sunburst` and `px.treemap` with `path` input ([2524](https://github.com/plotly/plotly.py/pull/2524))
- Fixed bug in `hover_data` argument of `px` functions, when the column name is changed with labels and `hover_data` is a dictionary setting up a specific format for the hover data ([2544](https://github.com/plotly/plotly.py/pull/2544)).
- Made the Plotly Express `trendline` argument more robust and made it work with datetime `x` values ([2554](https://github.com/plotly/plotly.py/pull/2554))
- Fixed bug in `px.sunburst` and `px.treemap`: when the `color` and `values` arguments correspond to the same column, a different aggregation function has to be used for the two arguments ([2591](https://github.com/plotly/plotly.py/pull/2591))
- Plotly Express wide mode now accepts mixed integer and float columns ([2598](https://github.com/plotly/plotly.py/pull/2598))
- Plotly Express `range_(x|y)` should not impact the unlinked range of marginal subplots ([2600](https://github.com/plotly/plotly.py/pull/2600))
- `px.line` now sets `line_group=<variable>` in wide mode by default ([2599](https://github.com/plotly/plotly.py/pull/2599))
- Corrected some regex warnings ([2577](https://github.com/plotly/plotly.py/pull/2577)), with thanks to [georgevdd](https://github.com/georgevdd) for the contribution!

4.8.1

Not secure
Fixed

- Fixed the accidental removal of some functions and submodules from `plotly.colors` and `plotly.express.colors`

4.8.0

Not secure
Added

- `plotly` now provides a Plotly Express-backed Pandas-compatible plotting backend, which can be activated via `pandas.options.plotting.backend = "plotly"`. Note that it is not intended to implement every Pandas plotting function, nor is it intended to replicate the behaviour of every argument, although per the changes below, `x` and `y` should behave similarly. ([2336](https://github.com/plotly/plotly.py/pull/2336))
- New datasets have been added to `plotly.express.data`: `stocks`, `experiment`, `medals_wide` and `medals_long`. ([2336](https://github.com/plotly/plotly.py/pull/2336))
- plotly `go.Figure` and `go.FigureWidget` now have a `_repr_html_` and a `_repr_mimebundle_` method, which are [standard hooks for integration in systems based on IPython](https://ipython.readthedocs.io/en/stable/config/integrating.html). In particular, with `_repr_html_` plotly figures can now be used within [sphinx-gallery](https://sphinx-gallery.github.io/stable/index.html) without any scraper. These additions should not change anything to the way plotly figures are displayed in notebook environments, since the `_ipython_display_` method (already present in earlier versions) takes precedence over the new methods.

Updated

- The behaviour of the `x`, `y`, `orientation`, `histfunc`, `violinmode`, `boxmode` and `stripmode` arguments for 2d-cartesian functions in Plotly Express (i.e. `scatter`, `line`, `area`, `bar`, `histogram`, `violin`, `box`, `strip`, `funnel`, `density_heatmap` and `density_contour`) has been refined ([2336](https://github.com/plotly/plotly.py/pull/2336)):
- if `x` or `y` is missing, it is inferred to be the index of `data_frame` if `data_frame` provided, otherwise a stable index of integers starting at 0. In the case of `px.bar`, if the provided value is not continuous, the missing value is treated as a column of 1s named "count", so as to behave more like `px.histogram` and to avoid sizing the resulting bars differently based on their position in the column. Previously, missing values defaulted to integers starting at 0 *per trace* which made it potentially inconsistent or misleading.
- if `x` (`y`) is missing, `orientation` now defaults to `v` (`h`). Previously it always defaulted to `v` but this is not considered a breaking change, as the cases in which it now defaults to `h` caused unreadable output if set to `v`.
- if both `x` and `y` are provided and one of them does not contain continuous values, `orientation` defaults to the value perpendicular to that axis. Previously it always defaulted to `v` but this is not considered a breaking change, as the cases in which it now defaults to `h` caused unreadable output if set to `v`.
- if either `x` or `y` (but not both) may now be provided as a list of column references into `data_frame` or columns of data, in which case the imputed data frame will be treated as "wide" data and `melt()`ed internally before applying the usual mapping rules, with function-specific defaults.
- if neither `x` nor `y` is provided but `data_frame` is, the data frame will be treated as "wide" with defaults depending on the value of `orientation` (and `orientation` has accordingly been added to `scatter`, `line`, `density_heatmap`, and `density_contour` for this purpose). Previously this would have resulted in an empty figure.
- if both `x` and `y` are provided to `histogram`, and if `x`, `y` and `z` are provided to `density_heatmap` or `density_contour`, then `histfunc` now defaults to `sum` so as to avoid ignoring the provided data, and to cause `histogram` and `bar` to behave more similarly.
- `violinmode`, `boxmode` and `stripmode` now default to `overlay` if `x` (`y`) in in `v` (`h`) orientation is also mapped to `color`, to avoid strange spacing issues with the previous default of `group` in all cases.
- The Plotly Express arguments `color_discrete_map`, `symbol_map` and `line_dash_map` now accept the string `"identity"` which causes the corresponding input data to be used as-is rather than mapped into `color_discrete_sequence`, `symbol_sequence` or `line_dash_sequence`, respectively. ([2336](https://github.com/plotly/plotly.py/pull/2336))
- Plotly Express now accepts `px.Constant` or `px.Range` objects in the place of column references so as to express constant or increasing integer values. ([2336](https://github.com/plotly/plotly.py/pull/2336))

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