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2 years ago Because you closed this PR without merging, Renovate will ignore this update (==4.14.3). You will get a PR once a newer version is released. To ignore this dependency forever, add it to the ignoreDeps array of your Renovate config.
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This PR contains the following updates:
==4.12.0->==4.14.3Release Notes
plotly/plotly.py
### [`v4.14.3`](https://togithub.com/plotly/plotly.py/blob/HEAD/CHANGELOG.md#4143---2021-01-12) [Compare Source](https://togithub.com/plotly/plotly.py/compare/v4.14.2...v4.14.3) - `px.timeline()` now allows `hover_data` formatting of start and end times [3018](https://togithub.com/plotly/plotly.py/pull/3018) - Small change to packaging of `plotlywidget` extension for JupyterLab 3 [3021](https://togithub.com/plotly/plotly.py/pull/3021) ### [`v4.14.2`](https://togithub.com/plotly/plotly.py/blob/HEAD/CHANGELOG.md#4142---2021-01-11) [Compare Source](https://togithub.com/plotly/plotly.py/compare/v4.14.1...v4.14.2) ##### Updated - JupyterLab extensions now compatible with JupyterLab 3.x [3016](https://togithub.com/plotly/plotly.py/pull/3016) - Updated Plotly.js to version 1.58.4. See the [plotly.js CHANGELOG](https://togithub.com/plotly/plotly.js/blob/v1.58.4/CHANGELOG.md) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module. Notable changes include: - fixes for rendering 3d plots on recent Safari versions - fixes to inside ticklabels - regression fixes ##### Fixed - `px.histogram()` Y-axis labels now take into account `histnorm` and `barnorm` [2989](https://togithub.com/plotly/plotly.py/pull/2989) - `px.histogram()` `marginal` and `facet_*` now work correctly together [3014](https://togithub.com/plotly/plotly.py/pull/3014) ### [`v4.14.1`](https://togithub.com/plotly/plotly.py/blob/HEAD/CHANGELOG.md#4141---2020-12-09) [Compare Source](https://togithub.com/plotly/plotly.py/compare/v4.14.0...v4.14.1) ##### Updated - Updated Plotly.js to version 1.58.2. See the [plotly.js CHANGELOG](https://togithub.com/plotly/plotly.js/blob/v1.58.0/CHANGELOG.md) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module. Notable changes include: - fixes for new `ticklabelposition` attribute - fixes for a regression related to treemaps in the previous version ### [`v4.14.0`](https://togithub.com/plotly/plotly.py/blob/HEAD/CHANGELOG.md#4140---2020-12-07) [Compare Source](https://togithub.com/plotly/plotly.py/compare/v4.13.0...v4.14.0) ##### Added - `px.imshow` now supports `facet_col` and `animation_frame` arguments for visualizing 3-d and 4-d images [2746](https://togithub.com/plotly/plotly.py/pull/2746) - `px.defaults` now supports `color_discrete_map`, `symbol_map`, `line_dash_map`, `labels` and `category_orders` as well as a `.reset()` method [2957](https://togithub.com/plotly/plotly.py/pull/2957) ##### Fixed - axes will now auto-type numeric strings as categorical data rather than linear in the default templates [2951](https://togithub.com/plotly/plotly.py/pull/2951) ##### Updated - Updated Plotly.js to version 1.58.1. See the [plotly.js CHANGELOG](https://togithub.com/plotly/plotly.js/blob/v1.58.0/CHANGELOG.md) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module. Notable changes include: - a new `ticklabelposition` attribute to enable positioning tick labels inside the plotting area - better support for `scaleanchor` and `matches` on cartesian axes for matched square subplots - a new `autotypenumbers` attribute which is now set to `strict` in the default templates - various fixes relating to `automargins` for small figures ### [`v4.13.0`](https://togithub.com/plotly/plotly.py/blob/HEAD/CHANGELOG.md#4130---2020-11-23) [Compare Source](https://togithub.com/plotly/plotly.py/compare/v4.12.0...v4.13.0) ##### Added - `px.choropleth`, `px.scatter_geo` and `px.line_geo` now support faceting as well as `fitbounds` and `basemap_visible` [2923](https://togithub.com/plotly/plotly.py/pull/2923) - `px.scatter_geo` and `px.line_geo` now support `geojson`/`featureidkey` input [2923](https://togithub.com/plotly/plotly.py/pull/2923) - `px.scatter_geo` now supports `symbol` [2923](https://togithub.com/plotly/plotly.py/pull/2923) - `go.Figure` now has a `set_subplots` method to set subplots on an already existing figure. [2866](https://togithub.com/plotly/plotly.py/pull/2866) - Added `Turbo` colorscale and fancier swatch display functions [2882](https://togithub.com/plotly/plotly.py/pull/2882) - A utility function `image_array_to_data_uri` has been added in `plotly.utils`, in order to transform NumPy arrays to data b64 URIs (which can be passed to the source parameter of `go.Image`, or to layout images). [2879](https://togithub.com/plotly/plotly.py/pull/2879) - the `selector` argument to updater/selector functions now accepts `int`s and `str`s [2894](https://togithub.com/plotly/plotly.py/pull/2894) ##### Updated - the JSON serialization of plotly figures has been accelerated thanks to a different handling of Infinity and NaN values. For example, a figure with a 1000x1000 Heatmap should now serialize 2x faster. [2880](https://togithub.com/plotly/plotly.py/pull/2880) - Coding mistakes with "magic underscores" now return significantly more ergonomic error messages [2843](https://togithub.com/plotly/plotly.py/pull/2843) - Error messages related to impossible subplot geometries are now much more helpful [2897](https://togithub.com/plotly/plotly.py/pull/2897) ##### Fixed - `px.scatter_geo` support for `text` is fixed [2923](https://togithub.com/plotly/plotly.py/pull/2923) - the `x` and `y` parameters of `px.imshow` are now used also in the case where an Image trace is used (for RGB data or with `binary_string=True`). However, only numerical values are accepted (while the Heatmap trace allows date or string values for `x` and `y`). [2761](https://togithub.com/plotly/plotly.py/pull/2761)Configuration
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