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Sat Mar 6 18:25:33 UTC 2021 - Arun Persaud <arun@gmx.de>
- update to version 4.14.3:
* px.timeline() now allows hover_data formatting of start and end
times 3018
* Small change to packaging of plotlywidget extension for JupyterLab
3 3021
- changes from version 4.14.2:
* Updated
+ JupyterLab extensions now compatible with JupyterLab 3.x 3016
+ Updated Plotly.js to version 1.58.4. See the plotly.js CHANGELOG
for more information. These changes are reflected in the
auto-generated plotly.graph_objects module. Notable changes
include:
o fixes for rendering 3d plots on recent Safari versions
o fixes to inside ticklabels
o regression fixes
* Fixed
+ px.histogram() Y-axis labels now take into account histnorm and
barnorm 2989
+ px.histogram() marginal and facet_* now work correctly together
3014
- changes from version 4.14.1:
* Updated
+ Updated Plotly.js to version 1.58.2. See the plotly.js CHANGELOG
for more information. These changes are reflected in the
auto-generated plotly.graph_objects module. Notable changes
include:
o fixes for new ticklabelposition attribute
o fixes for a regression related to treemaps in the previous version
- changes from version 4.14.0:
* Added
+ px.imshow now supports facet_col and animation_frame arguments
for visualizing 3-d and 4-d images 2746
+ px.defaults now supports color_discrete_map, symbol_map,
line_dash_map, labels and category_orders as well as a .reset()
method 2957
* Fixed
+ axes will now auto-type numeric strings as categorical data
rather than linear in the default templates 2951
* Updated
+ Updated Plotly.js to version 1.58.1. See the plotly.js CHANGELOG
for more information. These changes are reflected in the
auto-generated plotly.graph_objects module. Notable changes
include:
o 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
o a new autotypenumbers attribute which is now set to strict in the default templates
various fixes relating to automargins for small figures
- changes from version 4.13.0:
* Added
+ px.choropleth, px.scatter_geo and px.line_geo now support
faceting as well as fitbounds and basemap_visible 2923
+ px.scatter_geo and px.line_geo now support geojson/featureidkey
input 2923
+ px.scatter_geo now supports symbol 2923
+ go.Figure now has a set_subplots method to set subplots on an
already existing figure. 2866
+ Added Turbo colorscale and fancier swatch display functions 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
+ the selector argument to updater/selector functions now accepts
ints and strs 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
+ Coding mistakes with "magic underscores" now return
significantly more ergonomic error messages 2843
+ Error messages related to impossible subplot geometries are now
much more helpful 2897
* Fixed
+ px.scatter_geo support for text is fixed 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
-------------------------------------------------------------------
Fri Oct 30 22:32:20 UTC 2020 - Arun Persaud <arun@gmx.de>
- update to version 4.12.0:
* Added
+ For add_trace, add_shape, add_annotation and add_layout_image,
the row and/or col argument now also accept the string
"all". row="all" adds the object to all the subplot rows and
col="all" adds the object to all the subplot columns. (#2840)
+ Shapes that reference the plot axes in one dimension and the
data in another dimension can be added with the new add_hline,
add_vline, add_hrect, add_vrect functions, which also support
the row="all" and col="all" arguments. (#2840)
+ The add_trace, add_shape, add_annotation, add_layout_image,
add_hline, add_vline, add_hrect, add_vrect functions accept an
argument exclude_empty_subplots which if True, only adds the
object to subplots already containing traces or layout
objects. This is useful in conjunction with the row="all" and
col="all" arguments. (#2840)
+ For all go.Figure functions accepting a selector argument (e.g.,
select_traces), this argument can now also be a function which
is passed each relevant graph object (in the case of
select_traces, it is passed every trace in the figure). For
graph objects where this function returns true, the graph object
is included in the selection. (#2844)
* Updated
+ Updated Plotly.js to version 1.57.1. See the plotly.js CHANGELOG
for more information. These changes are reflected in the
auto-generated plotly.graph_objects module.
-------------------------------------------------------------------
Sat Oct 10 19:07:17 UTC 2020 - Arun Persaud <arun@gmx.de>
- update to version 4.11.0:
* Updated Plotly.js to version 1.56.0. See the plotly.js CHANGELOG
for more information. These changes are reflected in the
auto-generated plotly.graph_objects module.
-------------------------------------------------------------------
Sat Sep 12 19:58:52 UTC 2020 - Arun Persaud <arun@gmx.de>
- update to version 4.10.0:
* Added
+ Added plotly.io.full_figure_for_development() and
plotly.graph_objects.Figure.full_figure_for_development()
(#2737)
* Updated
+ Updated Plotly.js to version 1.55.2. See the plotly.js CHANGELOG
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
+ px.imshow has a new constrast_rescaling argument in order to
choose how to set data values corresponding to the bounds of the
color range (#2691
* Fixed
+ Plotly Express no longer converts datetime columns of input
dataframes to UTC (#2749)
+ Plotly Express has more complete support for datetimes as
additional hover_data (#2749)
+ Histogram selection behaviour with FigureWidget (#2711) with
thanks to @meffmadd
+ Behaviour of full_html() with html=False (#2469) with thanks to
@tallamjr
+ ff.distplot() now only computes traces that will be shown
(#2730) with thanks to @akbo
+ Pandas backend .hist() works with latest version of Pandas
(#2713) with thanks to @Kerybas
- changes from version 4.9.0:
* Added
+ Added image export support using 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).
+ plotly.express.timeline() added as an official alternative to
plotly.figure_factories.create_gantt() (#2626)
+ create_hexbin_mapbox() added to Figure Factories, with thanks to
@RenaudLN for the impressive contribution!
+ facet_row_spacing and facet_col_spacing added to Plotly Express
cartesian 2d functions (#2614)
+ base added to Plotly Express bar and bar_polar functions (#2626)
+ px.NO_COLOR constant to override wide-form color assignment in
Plotly Express (#2614)
* Fixed
+ trendline traces are now of type scattergl when
render_mode="webgl" in Plotly Express (#2614)
+ regression from 4.8.1 whereby "parent" was not accepted as part
of path for px.sunburst() and px.treemap() (#2640)
+ create_dendrogram() figure factory now works correctly with
scipy 1.5.1 (#2627)
* Updated
+ Updated Plotly.js to version 1.54.6. See the plotly.js CHANGELOG
for more information.
+ Added all cartesian-2d Plotly Express functions, plus imshow, to
Pandas backend with kind option (#2541)
+ plotly.express.imshow now uses data frame index and columns
names and values to populate axis parameters by default (#2539)
+ Javascript extensions are now build using Node 12, and have an
updated package-lock.json with many fewer security warnings
(#2636)
-------------------------------------------------------------------
Sat Jul 11 19:18:52 UTC 2020 - Arun Persaud <arun@gmx.de>
- update to version 4.8.2:
* Updated
+ Updated Plotly.js to version 1.54.5. See the plotly.js CHANGELOG
for more information.
+ add_traces() now accepts bare int-like values for rows/cols as
well as lists thereof (#2546), with thanks to @MCBoarder289 for
the contribution!
* Fixed
+ row/col now accept int-like values, not strictly int values
(#2451), with thanks to @MCBoarder289 for the contribution!
+ Fixed special cases with px.sunburst and px.treemap with path
input (#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).
+ Made the Plotly Express trendline argument more robust and made
it work with datetime x values (#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)
+ Plotly Express wide mode now accepts mixed integer and float
columns (#2598)
+ Plotly Express range_(x|y) should not impact the unlinked range
of marginal subplots (#2600)
+ px.line now sets line_group=<variable> in wide mode by default
(#2599)
+ Corrected some regex warnings (#2577), with thanks to @georgevdd
for the contribution!
- changes from version 4.8.1:
* Fixed
+ Fixed the accidental removal of some functions and submodules
from plotly.colors and plotly.express.colors
- changes from version 4.8.0:
* 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)
+ New datasets have been added to plotly.express.data: stocks,
experiment, medals_wide and medals_long. (#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. In particular, with
_repr_html_ plotly figures can now be used within sphinx-gallery
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):
+ 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)
+ 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)
-------------------------------------------------------------------
Sat May 9 16:19:10 UTC 2020 - Arun Persaud <arun@gmx.de>
- update to version 4.7.1:
* Fixed
+ Fix AttributeError: module 'plotly.graph_objs' has no attribute
'FigureWidget' exception on from plotly.graph_objs import * when
ipywidgets is not installed. Error also occurred when importing
plotly.figure_factor. It is now possible to import
plotly.graph_objs.FigureWidget when ipywidgets is not installed,
and an informative ImportError exception will be raised in the
FigureWidget constructor (#2443, #1111).
+ Fix TypeError: unhashable type: 'Template' during Figure
construction when plotly.io.templates.default is set to a
Template object rather than a string.
- changes from version 4.7.0:
* Updated
+ Updated Plotly.js to version 1.54.1. See the plotly.js CHANGELOG
for more information. The main new feature of this version of
Plotly.js is the possibility to draw layout shapes, using custom
dragmodes and corresponding modebar buttons.
+ The sphinx-gallery scraper has been updated to work with
different structures of galleries #2149
* Added
+ The hover_data parameter of px functions can now be a
dictionary. This makes it possible to skip hover information for
some arguments or to change the formatting of hover informatiom
#2377.
+ It's now possible to build a development version of Plotly.py
against the build artifacts from a non-master branch of
Plotly.js, which makes for faster QA and development cycles
#2349. Thanks @zouhairm for this Pull Request!
* Fixed
+ Plotly Express trendlines now handle missing data correctly
#2357
* Performance
+ This version includes several performance improvements (#2368,
#2403).
+ Child graph objects (e.g. figure.layout.xaxis) are no longer
created eagerly during graph object construction. Instead, they
are created lazily the first time the property is accessed.
+ Property validation is now disabled for select internal
operations.
+ When used with Python 3.7 and above, ploty.py now takes
advantage of PEP-562 to perform submodule imports lazily. This
dramatically improves import times.
-------------------------------------------------------------------
Sat Apr 11 21:47:18 UTC 2020 - Arun Persaud <arun@gmx.de>
- update to version 4.6.0:
* Updated
+ Updated Plotly.js to version 1.53.0. See the plotly.js CHANGELOG
for more information on the numerous new features and bug fixes
of this release. The main features of the Plotly.js release are
+ Introduce range breaks on date axes (for example, to remove
week-ends) via layout.xaxis.rangebreaks
+ Introduce a new unified x (or y) hovermode (layout.hovermode="x
unified"), in which the hover box shows the information for all
traces at a given x (or y) position
+ Add node.customdata and link.customdata to sankey traces
+ Updated contributing notes for more explanations on how to
contribute to plotly.py #2290. Please give feedback on these
notes!
+ Updated documentation examples #2325, and to show how to color
links in Sankey diagrams #2291.
+ Special thanks to @SylwiaOliwia2 and @dangercrow for improving
our documentation!
* Added
+ px.imshow now accepts xarray inputs, with metadata being used
for axis labels, hover and colorbar #2166
* Fixed
+ Fixed handling of opacity in px.pie, px.funnel_area,
px.density_mapbox, px.funnel #2317, with thanks to @tvaucher for
the contribution!
-------------------------------------------------------------------
Thu Mar 12 19:40:58 UTC 2020 - Arun Persaud <arun@gmx.de>
- update to version 4.5.4:
* Updated
+ The documentation of the API
https://plot.ly/python-api-reference/ now documents the full API
#2243
+ New documentation examples for facets #2235, legend #2227,
subplots #2226, axes #2234 and histograms #2242. Thanks to
@SylwiaOliwia2 for all these great examples!
* Fixed
+ Jupyterlab extension now compatible with both Jupyterlab 1.2 and
2.0 #2261 with thanks to @consideRatio for the contribution!
+ Fixed a bug when using boolean values for the color argument of
px functions #2127
+ Corrected import bug which was occuring with old versions of
ipywidgets #2265
+ Fixed python 3.8 syntax warning #2262, with thanks to @sgn for
the contribution!
- changes from version 4.5.3:
* Updated
+ Removed development dependency on nose testing framework #2217
* Fixed
+ JupyterLab extension now compatible with JupyterLab 2.0 #2245
with thanks to @consideRatio for the contribution!
- changes from version 4.5.2:
* Fixed
+ Fix build errors in JupyterLab extension by pinning version of
@types/plotly.js #2223
-------------------------------------------------------------------
Sat Feb 22 18:54:15 UTC 2020 - Arun Persaud <arun@gmx.de>
- update to version 4.5.1:
* Updated
+ Updated Plotly.js to version 1.52.2. See the plotly.js CHANGELOG
for more information on bug fixes.
* Fixed
+ update_annotations, update_shapes and update_layout_images now
no longer require the patch argument, as per the docstring #2167
+ px.defaults no longer accepts arbitrary keys #2168
+ better error message when pandas is not installed #2125
+ support columns of numerical type in path argument of
px.sunburst/px.treemap and add values of color column in
hoverlabel for px.sunburst/px.treemap #2133
-------------------------------------------------------------------
Thu Jan 30 17:27:22 UTC 2020 - Todd R <toddrme2178@gmail.com>
- Update to version 4.5.0
+ Updated
* Updated Plotly.js to version 1.52.1.
* Plotly Express uses the new `legend.title` attribute and so now has shorter trace `name`s
* The heuristic used by `px.parallel_categories` to determine which columns of the data frame to draw has been changed and made more configurable with the `dimensions_max_cardinality` argument
* The `simple_white` colorbar styling has been streamlined
* The `jupyterlab-plotly` and `plotlywidget` JupyterLab extensions should now share code when installed together, resulting in smaller JupyterLab vendor bundle sizes
+ Fixed
* Plotly Express `category_orders` are now respected independent of the contents of the data set
* `go.Scattergl` symbols now accept numeric specification
* `px.scatter` trendline coefficients are now more readable
* Built-in cyclical color scales now all have identical start and end points
+ Added
* `px.sunburst` and `px.treemap` now accept a `path` argument for passing
columns of a rectangular dataframe to build the charts
* `px.choropleth` now accepts a user-supplied `geojson` attribute
* `px.choropleth` and `px.choropleth_mapbox` now accept `featureidkey` to specify the GeoJSON field to use to match `locations`
* `px.choropleth` and `px.choropleth_mapbox` now accept discrete color
* `px.bar_polar` now accepts continuous color
* New `layout.uniformtext` attribute allows for automatic standardization of font sizes across bar-like and hierarchical traces.
-------------------------------------------------------------------
Fri Dec 13 00:25:52 UTC 2019 - Arun Persaud <arun@gmx.de>
- update to version 4.4.1:
* Fixed
+ Fixed improper JSON encoding exception when the pillow module
not installed #1993
- changes from version 4.4.0:
* Updated
+ Updated Plotly.js to version 1.51.2. See the plotly.js CHANGELOG
for more information
+ The tutorials of the plotly.py documentation are now in the main
plotly.py Github repository. Contributions in order to improve
or extend the documentation are very welcome!
+ plotly.express generated plots no longer have a default height
of 600 pixels, instead they inherit the default height of
regular figures #1990. To restore the old behavior, set
px.defaults.height=600 once per session, or set the height
keyword arguement to any px.function() to 600.
* Fixed
+ Fixed a plotly.express input bug when using data frame
indices#1934
+ Fixed how to display facet labels with plotly express #1966
+ Fixed a bug to use correctly the zmin/zmax parameter in
px.imshow for single-channel images #1981
+ Clipped docstring width for better display in Jupyterlab
#1939. Thank you @joelostblom!
+ Fixed a bug in the case of external orca server #1915 thank you
@dev-dsp!
* Added
+ Extended the plotly.express functional API with 7 new functions:
px.pie, px.sunburst, px.treemap, px.funnel, and px.funnel_area
(#1909) px.density_mapbox and px.choropleth_mapbox #1937.
+ plotly.express mapbox functions in plotly.express have new
arguments center and mapbox_style #1937.
+ plotly.express polar plots (scatter_polar, line_polar,
bar_polar) now have a range_theta keyword argument for
representing only an angular section #1969.
+ All continuous colorscales now accept a _r suffix that reverses
their direction #1933
+ Docstrings of plotly.py are now doctested #1921.
+ Reversing a predefined colorscale by appending _r to its name
#1933
-------------------------------------------------------------------
Fri Dec 6 18:44:56 UTC 2019 - Todd R <toddrme2178@gmail.com>
- Disable python2 support since dependencies dropped python2
-------------------------------------------------------------------
Sat Nov 16 17:52:20 UTC 2019 - Arun Persaud <arun@gmx.de>
- update to version 4.3.0:
* Updated
+ Updated Plotly.js to version 1.51.1. See the plotly.js CHANGELOG
for more information
+ Improved propagation of empty templates (#1892)
+ Update the add_annotations/add_shapes/add_images methods to no
longer default to adding objects in paper coordinates. This
allows plotly.js to determine the default reference frame based
on context (#1888)
+ Use the default template's background color for displaying color
swatches (#1872). Special thanks to @joelostblom for this
contribution!
+ Improved docstrings (#1835, #1837)
* Added
+ Added image trace type (plotly.js#4289, plotly.js#4307,
plotly.js#4313, plotly.js#4319)
+ Added matplotlib-style plotly.express.imshow convenience
function to display images and heatmaps (#1855, #1885)
+ Added matplotlib-style simple_white template (#1864). Special
thanks to @joelostblom for this contribution.
+ Added support for using an externally managed orca server for
image export features (#1850). Special thanks to @miriad for
this contribution.
+ Added facet wrapping support to plotly express functions using
the new facet_col_wrap argument (#1838)
-------------------------------------------------------------------
Sat Nov 9 15:07:23 UTC 2019 - Arun Persaud <arun@gmx.de>
- update to version 4.2.1:
* Fixed
+ Fixed regression in 4.2.0 that caused all figure factories to
require that scikit-image be installed (#1832)
- changes from version 4.2.0:
* Updated
+ Updated Plotly.js to version 1.50.1. See the plotly.js CHANGELOG
for more information
* Added
+ Added treemap trace type (plotly.js#4185, plotly.js#4219,
plotly.js#4227, plotly.js#4242)
+ Added add_*/select_*/for_each_*/update_* convenience figure
methods for annotations, shapes, and images (#1817)
+ Added overwrite kwarg to update* figure methods to fully replace
property values, rather than update them recursively (#1726)
+ Added texttemplate attribute to all traces that support on-graph
text (plotly.js#4071, plotly.js#4179)
+ Added date custom formatting in hovertemplate and texttemplate
e.g. '%{x|%b %-d, %Y}' (plotly.js#4071)
+ Added transition support to bar trace length, width, on-graph
text positioning, marker style and error bars (plotly.js#4180,
plotly.js#4186)
+ Added support for legend scrolling via touch interactions
(plotly.js#3873, plotly.js#4214)
* Fixed
+ Fixed iframe renderer on Python 2 (#1822)
+ Fixed use of merged templates in plotly.express (#1819)
-------------------------------------------------------------------
Sat Sep 7 16:30:21 UTC 2019 - Arun Persaud <arun@gmx.de>
- specfile:
* removed devel from noarch
- update to version 4.1.1:
* Updated
+ Updated Plotly.js to version 1.49.4. See the plotly.js CHANGELOG
for more information
+ The width of a figure produced by the create_gantt figure
factory now resizes responsively (#1724)
* Fixed
+ The name of the steps property of graph_objects.indicator.Guage
has been renamed from stepss to steps
+ Avoid crash in iframe renderers when running outside iPython
(#1723)
-------------------------------------------------------------------
Fri Aug 16 16:17:42 UTC 2019 - Todd R <toddrme2178@gmail.com>
- Update to 4.1.0
+ Updated
* Updated Plotly.js to version 1.49.1.
* Bars in the figures produced by the `create_gantt` figure factory may now be hidden by clicking on the legend.
* Improved performance when serializing figures containing large numpy arrays.
+ Added
* Added new renderers for displaying figures from within the Databricks and CoCalc notebook services
* Added `indicator` traces
* Added `choroplethmapbox` traces
* Added `densitymapbox` traces
* Added new mapbox `style` values: `open-street-map`, `carto-positron`, `carto-darkmatter`,
`stamen-terrain`, `stamen-toner`, `stamen-watercolor` and `white-bg`
that do not require a Mapbox access token
* Added support for `sourcetype` value `raster` and `image` and `type` `raster`
for mapbox layout layers
* Added `below` attribute to `scattermapbox` traces
* Added support for `below: 'traces'` in mapbox layout layers
* Added `sourceattribution` attribute to mapbox layout layers
* Added `labelangle` and `labelside` attributes to `parcoords` traces
* Added `doubleClickDelay` config option
* Added `showEditInChartStudio` config option
+ Fixed
* Fixed incorrect facet row ordering in figures generated by plotly.express functions
* Fixed "The truth value of an array with more than one element is ambiguous" error when specifying subplot titles as numpy array of strings.
* The `line_3d` plotly express function was not visible by default when importing `*` from `plotly.express`
-------------------------------------------------------------------
Thu Jul 25 17:14:49 UTC 2019 - Todd R <toddrme2178@gmail.com>
- Update to 4.0.0
+ Updated
* Updated Plotly.js to version 1.48.3.
+ Added
* The Plotly Express tech preview has been integrated as the `plotly.express` module
* Added a new renderers framework the supports rendering figure in a wide variety of contexts. See the new Displaying Plotly Figures documentation page for more information.
* Added `plotly.io.write_html` and `plotly.io.to_html` functions for exporting figures to HTML. Also available as `.write_html` and `.to_html` figure methods.
* Added new figure methods for batch updating figure properties (`update_layout`, `update_traces`, `update_xaxes`, etc.). See the new Creating and Updating Figures documentation page for more details.
* Added support for all trace types in `make_subplots`
* Added support for secondary y-axes in `make_subplots`
* Support passing a scalar trace object (rather than a list or tuple of trace objects) as the `data` property to the `Figure` constructor
* Added dictionary-stule `.pop` method to graph object classes
* New `jupyterlab-plotly` JupyterLab extension for rendering figures in JupyterLab. Replaces the `@jupyterlab/plotly-extension` extension, and includes JupyterLab 1.0 support.
* Added new suite of built-in colorscales to the `plotly.colors` module, and support for specifying this wide range of colorscales by name. Also added support for specifying colorscales as a list of colors, in which case the color spacing is assumed to be uniform.
* Added `sphinx-gallery` renderer for embedding plotly figures in Sphinx-Gallery.
+ Removed
* The follow modules for interfacing with the Chart Studio cloud service have been removed from plotly.py and moved to the new `chart-studio` distribution package. The following modules have been moved to a new top-level `chart_studio` module:
> `plotly.plotly` -> `chart_studio.plotly`
> `plotly.api` -> `chart_studio.api`
> `plotly.dashboard_objs` -> `chart_studio.dashboard_objs`
> `plotly.grid_objs` -> `chart_studio.grid_objs`
> `plotly.presentation_objs` -> `chart_studio.presentation_objs`
* The legacy `plotly.widgets.GraphWidget` class for displaying online figures hosted by Chart Studio as ipywidgets has been removed. Please use the offline, and much more capable, `plotly.graph_objects.FigureWidget` class instead.
* The `fileopt` argument to `chart_studio.plotly.plot` has been removed, so in-place modifications to previously published figures are no longer supported, and a figure will always overwrite a figure with the same name.
+ Changed
* The `'plotly'` template is used as the default theme across all figures.
* In order to reduce the size of the core `plotly` distribution package, the bundled geographic shape files used by the `create_choropleth` figure factory have been moved to a new optional `plotly-geo` distribution package
* For consistency with other figure factories, the `create_choropleth` and `create_gantt` figure factories now always returns `Figure` objects, rather than dictionaries.
* Figure add trace methods (`.add_trace`, `.add_traces`, `.add_scatter`, etc.) now return a reference to the calling figure, rather than the newly created trace
* `plotly.tools.make_subplots` has been moved to `plotly.subplots.make_subplots`, though it is still available at the previous location for backward compatibility
* The `plotly.graph_objs` module has been moved to `plotly.graph_objects`, though it is still available at the previous location for backward compatibility
* Trace `uid` properties are only generated automatically when a trace is added to a `FigureWidget`. When a trace is added to a standard `Figure` graph object the input `uid`, if provided, is accepted as is.
* `datetime` objects that include timezones are not longer converted to UTC
* When a tuple property (e.g. `layout.annotations`) is updated with a list/tuple that is longer than the current value, the extra elements are appended to the end of the tuple.
+ Fixed
* Fixed visibility of `bar` trace error bars in built-in templates
-------------------------------------------------------------------
Mon Jun 3 17:04:50 UTC 2019 - Todd R <toddrme2178@gmail.com>
- Fix jupyter dependencies.
- Update to 3.10.0
+ Updated
* Updated Plotly.js to version 1.48.1.
+ Added
* Added funnel trace
* Added funnelarea traces
* Added support for shared color axes via coloraxis attributes in the layout
* Added support for sorting categorical cartesian axes by value
* Added `bingroup` to `histogram`, `histogram2d` and `histogram2dcontour`
to group traces to have compatible auto-bin values
* Add legend `itemclick` and `itemdoubleclick` attributes to set or disable
the legend item click and double-click behavior
* Added support for calling orca through [Xvfb](https://www.x.org/releases/X11R7.6/doc/man/man1/Xvfb.1.xhtml)
to support static image export on Linux when X11 is not available
+ Fixed
* Fixed `PlotlyJSONEncoder` encoding error when `simplejson` is installed
* HTML export now honors the figure height specified in the figure template
* Fixed display height of figure displayed in JupyterLab
* Fixed honouring of the `validate=False` option for all renderer types
- Update to 3.9.0
+ Updated
* Updated Plotly.js to version 1.47.4.
+ Added
* Added "magic underscore" support for specifying nested figure properties
* Added `select_traces`, `for_each_trace`, and `update_traces` figure
methods for accessing and updating traces by subplot location and trace
properties
* Added `select_*`, `for_each_*`, and `update_*` figure methods for
accessing and updating subplot objects (`xaxis`, `scene`, `polar`, etc)
* Added support for Dash Design Kit style color specifications
* Added support for the `plotly_unselect` plotly.js event in a new
`on_unselect` trace method
+ Changed
* Changed the default colorscale to be `plasma` for the `plotly`, `plotly_white`, and
`plotly_dark` templates for plotly.py version 4
* Reordered the default colorway for the `plotly`, `plotly_white`, and
`plotly_dark` templates for plotly.py version 4
+ Fixed
* Fixed package listing in setup.py
* Fixed built-in templates so that `heatmap` colorscales can be overridden
without specifying `autocolorscale=False`
* Fix `UnboundLocalError` error in the presence of a missing or corrupt
`~/.plotly/.config` file
* Fixed error when combining `sankey` traces with cartesian subplots
-------------------------------------------------------------------
Fri Jan 25 19:38:36 UTC 2019 - Todd R <toddrme2178@gmail.com>
- Fix dependency issue.
-------------------------------------------------------------------
Fri Jan 4 19:08:41 UTC 2019 - Todd R <toddrme2178@gmail.com>
- Update to version 3.5.0
+ Updated
* Updated Plotly.js to version 1.43.1. See the
plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1431----2018-12-21)
or more information.
+ Changed
* Plotly.js 1.43 converted `title` properties (e.g. `layout.title`) from
trings into compound objects that contain the text as the `text` property
long with new title placement attributes `x`, `y`, `xref`, `yref`, `xanchor`,
yanchor` and `pad`. Plotly.py 3.5.0 follows the new schema, but still
upports specifying `title` as a string, in which case the string is assigned
o the `title.text` property
[#1302](https://github.com/plotly/plotly.py/issues/1302))
* Plotly.js 1.43 also moved existing `title*` properties
e.g. `layout.titlefont`) under the `title` object (e.g. `layout.title.font`).
lotly.py 3.5.0 follows the new schema, but still
upports the legacy `title*` properties by mapping them to the corresponding
title.*` property
[#1302](https://github.com/plotly/plotly.py/issues/1302))
* The `update` method on `graph_objs` now returns the updated object in order
o support chaining multiple update operations together
[#1379](https://github.com/plotly/plotly.py/issues/1379))
* The `show_link` option has been set to `False` by default in the offline
plot` and `iplot` functions. Now that the "send data to cloud" button has
een disabled by default in plotly.js 1.43.0, no buttons/links will be
isplayed by default that result in data being sent off of the local machine
[#1304](https://github.com/plotly/plotly.py/issues/1304))
* `config` options that are not known by plotly.py result in a warning but are
till passed along to plotly.js. Prior to this change these unknown options
ere dropped silently
[#1290](https://github.com/plotly/plotly.py/issues/1290))
* Built-in themes now specify colorscales using the new global
layout.colorscale` properties. Previously the colorscales were defined for
ach trace type individually. This reduces the size of the resulting theme
iles
[#1303](https://github.com/plotly/plotly.py/issues/1303))
* Increased the maximum retry time of the orca integration from 8s to 30s
[#1297](https://github.com/plotly/plotly.py/issues/1297))
+ Fixed
* Fixed `FigureWidget` performance regression that, when working with
arge datasets, resulted in a slight freeze of the widget after user
nteractions (pan, zoom, etc)
[1305](https://github.com/plotly/plotly.py/issues/1305))
* Fix orca error when the `ELECTRON_RUN_AS_NODE` environment variable is set
[#1293](https://github.com/plotly/plotly.py/issues/1293))
* The `'responsive'` config key was being silently blocked
[#1290](https://github.com/plotly/plotly.py/issues/1290))
* Fixed error when using unicode characters in string properties on Python 2
[#1289](https://github.com/plotly/plotly.py/issues/1289))
* Removed invalid calls to non-existent `validate` and `strip_style` `Figure`
ethods in matplotlylib conversion logic
[#1128](https://github.com/plotly/plotly.py/issues/1128))
- Update to version 3.4.2
+ Fixed
* `config` options are now supported when using `plotly.offline.iplot` to
isplay a figure in JupyterLab. Requires version 0.18.1 of the
@jupyterlab/plotly-extension` extension.
[#1281](https://github.com/plotly/plotly.py/pull/1281),
jupyterlab/jupyter-renderers#168](https://github.com/jupyterlab/jupyter-renderers/pull/168))
* Custom `plotly_domain` values are now supported in FigureWidget in both
he classic notebook and JupyterLab
[#1284](https://github.com/plotly/plotly.py/pull/1284))
- Update to version 3.4.1
+ Updated
* Updated Plotly.js to version 1.42.5. See the
plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1423----2018-11-06)
or more information.
+ Fixed
* Fixed histogram binning with pandas `Series` or numpy array
regression introduced in 3.4.0)
[#1257](https://github.com/plotly/plotly.py/issues/1257),
plotly/plotly.js#3211](https://github.com/plotly/plotly.js/pull/3211))
* Fixed incorrect validation error on the `args` property of
layout.updatemenu.Button()` when value is a `list` that starts with a `list`
[#1265](https://github.com/plotly/plotly.py/issues/1265))
* Fixed deadlock causing `plotly.io.write_image` to hang on Windows after
xporting more than ~25 images
[#1255](https://github.com/plotly/plotly.py/issues/1255))
* Fixed plot display error for `scattergl` trace with `mode='lines'` and
ore than 100k points
[#1271](https://github.com/plotly/plotly.py/issues/1271))
* Fixed responsive resizing error with `iplot` in the classic notebook
[#1263](https://github.com/plotly/plotly.py/pull/1263))
- Update to version 3.4.0
+ Updated
* Updated Plotly.js to version 1.42.2. Select highlights included below, see
he [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1422----2018-11-01)
or more information.
+ Added
* Default figure properties may now be customized using figure
emplates (themes) and 7 new predefined templates are bundled with
lotly.py
[#1224](https://github.com/plotly/plotly.py/pull/1224))
* Added Parallel Categories (`parcats`) trace type for the visualization
f multi-dimensional categorical datasets
[plotly/plotly.js#2963](https://github.com/plotly/plotly.js/pull/2963))
* Added LaTeX typesetting support for figures displayed in the Jupyter
otebook using `plotly.offline.iplot` and `plotly.graph_objs.FigureWidget`.
*Note:** There are still outstanding issues with MathJax rendering in FireFox,
ut it is now working well in Chrome.
[#1243](https://github.com/plotly/plotly.py/pull/1243))
* Added `include_mathjax` argument to `plotly.offline.plot` to support
he creation of HTML files with LaTeX typesetting
[#1243](https://github.com/plotly/plotly.py/pull/1243))
* Added new `plotly.offline.get_plotlyjs` function that returns the
ontents of the bundled plotly.js library as a string
[#637](https://github.com/plotly/plotly.py/issues/637),
#1246](https://github.com/plotly/plotly.py/pull/1246))
* Added new `plotly.offline.get_plotlyjs_version` function that returns
he version of the bundled plotly.js library
[#1246](https://github.com/plotly/plotly.py/pull/1246))
* HTML div strings returned by `plotly.offline.plot` now contain logic
o automatically resize the figure responsively. This logic was previously
nly added for html files.
[#1043](https://github.com/plotly/plotly.py/issues/1043),
#1234](https://github.com/plotly/plotly.py/pull/1234))
* Figures displayed using `plotly.offline.iplot` in the classic Jupyter
otebook will now resize responsively
[#1234](https://github.com/plotly/plotly.py/pull/1234))
* Added `'cdn'`, `'directory'`, and path string `include_plotlyjs` options
n `plotly.offline.plot`
[#1234](https://github.com/plotly/plotly.py/pull/1234))
> When `'cdn'`, the resulting html file/div includes a script tag reference
to the plotlyjs cdn.
> When `'directory'`, the resulting html file/div includes a script tag
reference to a plotly.min.js bundle in the same directory as the html file.
If `output_type` is `'file'` then this plotly.min.js bundle is created in
the output directory if it doesn't already exist.
> When a string ending with `'.js'`, the resulting html file/div includes
a script tag that references this exact path. This can be used to point
to a plotly.js bundle from an alternative CDN.
* Added a new `color_threshold` argument to the `create_dendrogram` figure
actory to control the dendrogram clustering cutoff
[#995](https://github.com/plotly/plotly.py/issues/995),
#1075](https://github.com/plotly/plotly.py/pull/1075),
#1214](https://github.com/plotly/plotly.py/pull/1214))
* Added support for `autorange='reversed'` in 3D axes
[#803](https://github.com/plotly/plotly.py/issues/803),
plotly/plotly.js#3141](https://github.com/plotly/plotly.js/pull/3141))
* Added new gl3d tick and title auto-rotation algorithm that limits text
verlaps
[plotly/plotly.js#3084](https://github.com/plotly/plotly.js/pull/3084),
plotly/plotly.js#3131](https://github.com/plotly/plotly.js/pull/3131))
* Added `modebar` layout style attributes:
orientation`, `bgcolor`, `color` and `activecolor`
[plotly/plotly.js#3068](https://github.com/plotly/plotly.js/pull/3068),
plotly/plotly.js#3091](https://github.com/plotly/plotly.js/pull/3091))
* Added `title`, `titleposition` and `titlefont` attributes to pie traces
[plotly/plotly.js#2987](https://github.com/plotly/plotly.js/pull/2987))
* Added `hoverlabel.split` attribute to `ohlc` and `candlestick` traces to
plit hover labels into multiple pieces
[plotly/plotly.js#2959](https://github.com/plotly/plotly.js/pull/2959))
* Added support for `line.shape` values `'hv'`, `'vh'`, `'hvh'`
nd `'vhv'` in `scattergl` traces
[plotly/plotly.js#3087](https://github.com/plotly/plotly.js/pull/3087))
* Added trace, node and link `hoverinfo` for `sankey` traces
[#3096](https://github.com/plotly/plotly.js/pull/3096),
#3150](https://github.com/plotly/plotly.js/pull/3150))
* Added per-sector `textfont` settings in pie traces
[#3130](https://github.com/plotly/plotly.js/pull/3130))
+ Changed
* Use new Plotly logo in "Produced with Plotly" modebar button
[plotly/plotly.js#3068](https://github.com/plotly/plotly.js/pull/3068))
+ Fixed
* Plotly's use of MathJax for LaTeX typesetting no longer interferes with
he Jupyter Notebook's use of MathJax
[#445](https://github.com/plotly/plotly.py/issues/445),
#360](https://github.com/plotly/plotly.py/issues/360))
* Fixed several issues with the use of `reversescale=True` in the
create_annotated_heatmap` figure factory
[#1251](https://github.com/plotly/plotly.py/pull/1251))
* Fixed case where `plotly.offline.iplot` would fail to render in the classic
upyter Notebook if the notebook contained a Markdown headline with the text
Plotly"
[#816](https://github.com/plotly/plotly.py/issues/816))
* `None` values in a `scatter.hovertext` list are now omitted from the
over label rather than being displayed as the string `"None"`
[#1244](https://github.com/plotly/plotly.py/issues/1244))
* Subplot titles created by `plotly.tools.make_subplots` are now positioned
roperly when custom `row_width`/`column_width` arguments are specified
[#1229](https://github.com/plotly/plotly.py/issues/1229))
* The `bar.width` property may now be specified as a numpy array or a pandas
eries
[#1231](https://github.com/plotly/plotly.py/issues/1231),
plotly/plotly.js#3169](https://github.com/plotly/plotly.js/pull/3169))
* Error bars are now scaled correctly for logarithmic `scatter3d` traces
[#1139](https://github.com/plotly/plotly.py/issues/1139))
* Use `uuid.uuid4` rather than `uuid.uuid1` to work around an upstream
ython bug
[#1235](https://github.com/plotly/plotly.py/issues/1235),
[#1236](https://github.com/plotly/plotly.py/pull/1236))
* The `layout.grid.subplots` property may now be specified as a 2D list of
ubplot identifiers
[#1220](https://github.com/plotly/plotly.py/issues/1220),
#1240](https://github.com/plotly/plotly.py/pull/1240))
* Fixed `scatter3d` text alignment
[#1055](https://github.com/plotly/plotly.py/issues/1055),
plotly/plotly.js#3180](https://github.com/plotly/plotly.js/pull/3180))
+ JupyterLab Versions
For use with JupyterLab, the following versions of the following packages
must be installed:
* Python Packages
> plotly==3.4.0
> ipywidgets>=7.2
> notebook>=5.3
> jupyterlab==0.35
* JupyterLab Extensions
> plotlywidget@0.5.0
> @jupyter-widgets/jupyterlab-manager@0.38
> @jupyterlab/plotly-extension@0.18
- Update to version 3.3.0
+ Updated
* Updated Plotly.js to version 1.41.3. Select highlights included below, see
the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1413----2018-09-25)
or more information.
* Do not create or check permissions on the `~/.plotly` configuration
irectory until a configuration write operation is performed
[#1195](https://github.com/plotly/plotly.py/pull/1195)). This change
voids some concurrency problems associated with running many instances of
lotly.py simultaneously
[#1068](https://github.com/plotly/plotly.py/issues/1068)).
+ Added
* Enable selection by clicking on points via new layout attribute `clickmode` and flag `'select'`
[#2944](https://github.com/plotly/plotly.js/pull/2944))
* Added stacked area charts via new attributes `stackgroup` and `stackgaps` in scatter traces
[#2960](https://github.com/plotly/plotly.js/pull/2960))
* Added `barpolar` trace type - which replace and augment area traces
[#2954](https://github.com/plotly/plotly.js/pull/2954))
* Added `polar.hole` layout parameter to punch hole at the middle of polar
ubplot offsetting the start of the radial range
[#2977](https://github.com/plotly/plotly.js/pull/2977), [#2996](https://github.com/plotly/plotly.js/pull/2996))
* Figures may now be easily converted to and from JSON using the new
to_json`, `from_json`, `read_json`, and `write_json` functions in the
plotly.io` package
[#1188](https://github.com/plotly/plotly.py/pull/1188))
* Figures and graph objects now support `deepcopy` and `pickle` operations
[#1191](https://github.com/plotly/plotly.py/pull/1191))
* The location of the `"~/.plotly"` settings directory may now be customized
sing the `PLOTLY_DIR` environment variable
[#1195](https://github.com/plotly/plotly.py/pull/1195))
* Added optional `scaleratio` argument to the `create_quiver` figure factory.
hen specified, the axes are restricted to this ratio and the quiver arrows
re computed to have consistent lengths across angles.
[#1197](https://github.com/plotly/plotly.py/pull/1197))
+ Fixed
* Replace use of `pkg_resources.resource_string` with `pkgutil.get_data` to
mprove compatibility with `cx_Freeze`
[#1201](https://github.com/plotly/plotly.py/pull/1201))
* An exception is no longer raised when an optional dependency raises an
xception on import. The exception is logged and plotly.py continues as if
he dependency were not installed
[#1192](https://github.com/plotly/plotly.py/pull/1192))
* Fixed invalid dendrogram axis labels when the points being clustered contain
uplicate values
[#1186](https://github.com/plotly/plotly.py/pull/1186))
* Added missing LICENSE.txt file to PyPI source distribution
[#765](https://github.com/plotly/plotly.py/issues/765))
+ JupyterLab Versions
For use with JupyterLab, the following versions of the following packages
must be installed:
* Python Packages
> plotly==3.3.0
> ipywidgets>=7.2
> notebook>=5.3
> jupyterlab==0.34
* JupyterLab Extensions
> plotlywidget@0.4.0
> @jupyter-widgets/jupyterlab-manager@0.37
> @jupyterlab/plotly-extension@0.17
- Update to version 3.2.1
This is a patch release that fixes a few bugs and reintroduces a few
version 2 features that were not supported in version 3.
The bundled version of plotly.js remains at 1.40.1
+ JupyterLab Versions
For use with JupyterLab, the following versions of the following packages
must be installed:
* Python Packages
> plotly==3.2.1
> ipywidgets>=7.2
> notebook>=5.3
> jupyterlab==0.34
* JupyterLab Extensions
> plotlywidget@0.3.0
> @jupyter-widgets/jupyterlab-manager@0.37
> @jupyterlab/plotly-extension@0.17
+ Added
* An optional `skip_invalid` argument has been added to the `Figure` and
FigureWidget` constructors. By default, `skip_invalid` is `False` and invalid
igure properties will result in an exception (this is identical to the
revious behavior). When `skip_invalid` is set to `True`, invalid properties
ill instead be silently ignored. This argument replaces the `_raise`
rgument that was available in version 2, and makes it possible to import
igure definitions from different plotly versions, where incompatible
roperties are ignored rather than causing an exception.
* A `to_ordered_dict` method has been added to the `Figure` and `FigureWidget`
lasses. This method returns a representation of the figure as a nested
tructure of `OrdererdDict` and `list` instances where the keys in each
OrderedDict` are sorted alphabetically. This method replaces the
get_ordered` method that was available in version 2, and makes it possible
o traverse the nested structure of a figure in a deterministic order.
+ Fixed
* Pandas `Series` and `Index` objects storing `datetime` values were
incorrectly cast to numeric arrays
([plotly/plotly.py#1160](https://github.com/plotly/plotly.py/issues/1160),
[plotly/plotly.py#1163](https://github.com/plotly/plotly.py/pull/1163))
* Numpy arrays with `uint64` datatype caused a `FigureWidget` error,
and no figure was displayed
([plotly/plotly.py#1155](https://github.com/plotly/plotly.py/issues/1155),
[plotly/plotly.py#1163](https://github.com/plotly/plotly.py/pull/1163))
- Update to version 3.2.0
This release introduces the long-anticipated ability to programmatically
export figures as high quality static images in both raster and vector
formats.
+ JupyterLab Versions (Python 3.5+)
For use with JupyterLab, the following versions of the following packages
must be installed:
* Python Packages
> plotly==3.2.0
> ipywidgets>=7.2
> notebook>=5.3
> jupyterlab==0.34
* JupyterLab Extensions
> plotlywidget@0.3.0
> @jupyter-widgets/jupyterlab-manager@0.37
> @jupyterlab/plotly-extension@0.17
+ Added
* plotly.js version 1.40.1, which introduces the following features:
> Allow `contour`, `contourcarpet` and `histogram2dcontour` to have corresponding legend items using `showlegend`
([plotly/plotly.js#2891](https://github.com/plotly/plotly.js/pull/2891),
[plotly/plotly.js#2914](https://github.com/plotly/plotly.js/pull/2914))
> Add scatterpolar and scatterpolargl attributes `r0`, `dr`, `theta0` and `dtheta`
([plotly/plotly.js#2895](https://github.com/plotly/plotly.js/pull/2895))
> Add layout attributes `piecolorway` and `extendpiecolors` for more control over pie colors
([plotly/plotly.js#2870](https://github.com/plotly/plotly.js/pull/2870))
> Add `splom` attribute `dimensions[i].axis.type` to easily override axis type in splom-generated axes
([plotly/plotly.js#2899](https://github.com/plotly/plotly.js/pull/2870))
> Add support for on-graph text in `scatterpolargl` traces
([plotly/plotly.js#2895](https://github.com/plotly/plotly.js/pull/2895))
> See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1400----2018-08-16)
for bug fixes and more information.
* Support for offline static image export with the `to_image` and `write_image`
functions in the new `plotly.io` package ([#1120](https://github.com/plotly/plotly.py/pull/1120)).
> Note: Image export requires the plotly [orca](https://github.com/plotly/orca)
command line utility and the [`psutil`](https://github.com/giampaolo/psutil) Python package.
* New documentation sections covering [Static Image Export](https://plot.ly/python/static-image-export/)
and [Orca Management](https://plot.ly/python/orca-management/)
* Support for displaying `FigureWidget` instances in static contexts
(e.g. [nbviewer](http://nbviewer.jupyter.org/)) just like the built-in ipywidgets
[#1117](https://github.com/plotly/plotly.py/pull/1117))
* Full integration of the Cividis colorscale ([#883](https://github.com/plotly/plotly.py/pull/883))
* conda packaging
> From here forward, new versions of plotly.py will be published to the [plotly anaconda channel](https://anaconda.org/plotly/)
on the same day they are published to PyPI.
([72ad0e4](https://github.com/plotly/plotly.py/commit/72ad0e4bf54bb8a06445d2ca55488ffc11c836a7))
> The [`README`](README.md) now includes conda installation instructions alongside the pip instructions.
> In addition to the existing installation approaches, orca is now also available as a
[conda package](https://anaconda.org/plotly/plotly-orca) from the plotly anaconda channel.
+ Updated
* Show traces at the top of the Gantt chart's colorbar ([#1110](https://github.com/plotly/plotly.py/pull/1110))
* Significantly improved validation performance for numeric pandas `Series` objects ([#1149](https://github.com/plotly/plotly.py/pull/1149))
* Specialize auto-generated docstrings for Python syntax
* More robust and specific logic for retrying requests to the plot.ly cloud service ([#1146](https://github.com/plotly/plotly.py/pull/1146))
* Support basic authentication when using the streaming API behind a proxy server ([#1133](https://github.com/plotly/plotly.py/pull/1133))
+ Fixed
* Validators for `dash` properties (e.g. `scatter.line.dash`) incorrectly rejected dash length lists ([#1136](https://github.com/plotly/plotly.py/pull/1136))
* Annotated heatmap error when custom colorscale was specified ([#1151](https://github.com/plotly/plotly.py/pull/1151))
* Incorrect deprecation warning for deprecated `plotly.graph_objs.Annotations` class ([#1138](https://github.com/plotly/plotly.py/pull/1138))
* Harmless JavaScript console error when opening an html file produced by `plotly.offline.plot` ([#1152](https://github.com/plotly/plotly.py/pull/1152))
* Incorrect validation errors when writing data to the streaming API ([#1145](https://github.com/plotly/plotly.py/pull/1145))
- Update to version 3.1.1
This release is a minor bug-fix update to version 3.1.0
+ JupyterLab Versions
For use with JupyterLab, the following versions of the following packages
must be installed:
* Python Packages
> plotly==3.1.1
> ipywidgets>=7.2
> notebook>=5.3
> jupyterlab==0.33
* JupyterLab Extensions
> plotlywidget@0.2.1
> @jupyter-widgets/jupyterlab-manager@0.36
> @jupyterlab/plotly-extension@0.16
+ Updated
* Updated plotly.js to version 1.39.4.
This is a bug-fix release of plotly.js
+ Fixed
* Fixed error in validation of configkeys
[plotly/plotly.js#1065](https://github.com/plotly/plotly.py/pull/1065)
* Fixed error in presentation of named colorscales
[plotly/plotly.js#1089](https://github.com/plotly/plotly.py/pull/1089)
* Fixed numerical precision error when using `plotly.tools.make_subplots`
to create figures with a large number of subplots
[plotly/plotly.js#1091](https://github.com/plotly/plotly.py/pull/1091)
* Fixed problem that prevented the use of the `.update` method to initialize
an array property (e.g. `layout.shapes`)
[plotly/plotly.js#1091](https://github.com/plotly/plotly.py/pull/1092)
* Fixed `FigureWidget` problem causing scroll zoom on 3D plots to stutter
[plotly/plotly.js#1094](https://github.com/plotly/plotly.py/pull/1094)
* Fixed invalid `tickmode` property in `matplotlylib`
[plotly/plotly.js#1101](https://github.com/plotly/plotly.py/pull/1101)
- Update to version 3.1.0
+ JupyterLab Versions
For use with JupyterLab, the following versions of the following packages
must be installed. See [README.md](README.md) for instructions.
* Python Packages
> plotly==3.1.0
> ipywidgets>=7.2
> notebook>=5.3
> jupyterlab==0.32.1
* JupyterLab Extensions
> plotlywidget@0.2.0
> @jupyter-widgets/jupyterlab-manager@0.35
> @jupyterlab/plotly-extension@0.16
+ Updated
* Updated Plotly.js to version 1.39.2
* See highlights below
* See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1392----2018-07-16) for more information.
+ Added
* Added 3D streamtube traces
[plotly/plotly.js#2658](https://github.com/plotly/plotly.js/pull/2658)
* Added support for on-graph text in scattergl traces
* Added gridshape attribute to polar subplots with values 'circular' (the default) and 'linear' (to draw polygon grids)
[plotly/plotly.js#2739](https://github.com/plotly/plotly.js/pull/2739)
- Update to version 3.0.2
This is a minor bug-fix release to 3.0.0
+ JupyterLab plotlywidget version: 0.1.1
+ Plotly.js version: 1.38.3
+ Fixed
* Several errors related to numbered subplot labels (e.g. xaxis2, polar3, etc.)
[GH1057](https://github.com/plotly/plotly.py/pull/1057)
* Error where the `v` property was ignored in `cone` traces
[GH1060](https://github.com/plotly/plotly.py/pull/1060)
* Assorted performance improvements when constructing graph objects
[GH1061](https://github.com/plotly/plotly.py/pull/1061)
- Update to version 3.0.1 [YANKED]
Note: This release's installation was broken. It has been removed from PyPI
- Update to version 3.0.0
This is a major version with many exciting updates.
+ JupyterLab plotlywidget version: 0.1.1
+ Plotly.js version: 1.38.3
+ Added
* Full Jupyter ipywidgets integration with the new `graph_objs.FigureWidget` class
* `FigureWidget` figures can be updated interactively using property assignment syntax
* The full trace and layout API is generated from the plotly schema to provide a great experience for interactive use in the notebook
* Support for setting array properties as numpy arrays. When numpy arrays are used, ipywidgets binary serialization protocol is used to avoid converting these to JSON strings.
* Context manager API for animation. Run `help(go.Figure().batch_animate)` for the full doc string.
* Perform automatic retries when communicating with plot.ly services. This introduces a new required dependency on the [retrying](https://pypi.org/project/retrying/) library.
* Improved data validation covering the full API with clear, informative error messages. This means that incorrect properties and/or values now always raise a `ValueError` with a description of the error, the invalid property, and the available properties on the level that it was placed in the graph object. Eg. `go.Scatter(foo=123)` raises a validation error. See https://plot.ly/python/reference/ for a reference to all valid properties and values in the Python API.
* Error message for `plotly.figure_factory.create_choropleth` is now helpful to Anaconda users who do not have the correct modules installed for the County Choropleth figure factory.
+ Changed / Deprecated
Please see the [migration guid](migration-guide.md) for a full list of the changes and deprecations in version 3.0.0
- Update to version 2.7.0
+ Updated
* Updated `plotly.min.js` to version 1.38.0.
New features include a `3D cone` trace to visualize vector fields.
- Update to version 2.6.0
+ Updated
* Updated `plotly.min.js` to version 1.37.1.
New features include a `splom` (scatter plot matrix) trace type.
* Error message for `plotly.figure_factory.create_choropleth` is more helpful for Windows users on installing `geopandas` and dependencies including `shapely`.
-------------------------------------------------------------------
Thu Apr 19 16:56:41 UTC 2018 - toddrme2178@gmail.com
- update to version 2.5.1
* Fixed
+ `plotly.figure_factory.create_choropleth` now works in Windows without raising an OSError. The module now uses cross-platform path tools from `os` to manipulate and manage the shapefiles contained in this package.
- update to version 2.5.0
* Fixed
+ `import plotly.figure_factory` does not fail if `pandas` is not installed. See https://github.com/plotly/plotly.py/pull/958
* Added
+ New parameter `fill_percent` to the `.insert` method for the dashboards API. You can now insert a box into the dashboard layout and specify what proportion of the original container box it will occupy. Run `help(plotly.dashboard_objs.Dashboard.insert)` for more information on `fill_percent`.
* Updated
+ Updated `plotly.min.js` to version 1.35.2.
- New features include adding an `automargin` attribute to cartesian axes and a layout `grids` attribute for easy subplot generation.
- See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1352----2018-03-09) for additional information regarding the updates.
+ `plotly.figure_factory.create_choropleth` has changed some of the default plotting options:
- 'offline_mode' param has been removed from call signature.
- Persistent selection api for the centroid points is automatically enabled. See https://plot.ly/python/reference/#scatter-selected and https://plot.ly/python/reference/#scatter-unselected for details
- FIPS values that appear on hover are 0-padded to ensure they are 5 digits.
- `hover_info='none'` is now default for the county lines data.
-------------------------------------------------------------------
Thu Feb 22 04:17:56 UTC 2018 - arun@gmx.de
- update to version 2.4.1:
* Fixed
+ The required shapefiles to generate the choropleths via
plotly.figure_factory.create_choropleth are now shipped in the
package data.
-------------------------------------------------------------------
Mon Feb 19 17:15:11 UTC 2018 - arun@gmx.de
- update to version 2.4.0:
* Added
+ County Choropleth figure factory. Call
help(plotly.figure_factory.create_choropleth) for examples and
how to get started making choropleths of US counties with the
Python API.
Note: import plotly.figure_factory as ff is broken and 2.4.0
must be yanked ASAP. Efforts to fix this version are currently
underway.
-------------------------------------------------------------------
Sat Feb 10 17:30:26 UTC 2018 - arun@gmx.de
- specfile:
* update copyright year
- update to version 2.3.0:
* Fixed
+ Merged pull request that fixes GraphWidget for IPython > v6
* Updated
+ Updated plotly.min.js to version 1.33.1.
o New plot types include a violin trace type.
o New features include completely rewritten scattergl using regl
and a completely rewritten polar chart renderer.
o See the plotly.js CHANGELOG for additional information regarding
the updates.
-------------------------------------------------------------------
Wed Dec 6 02:56:26 UTC 2017 - arun@gmx.de
- update to version 2.2.3:
* Added
+ -column_width and row_width parameters for
plotly.tools.make_subplots. Call
help(plotly.tools.make_subplots) for documentation.
* Updated plotly.min.js to version 1.31.2.
+ Fixes include adjustments to table trace for offline plotting.
+ See the plotly.js CHANGELOG for additional information regarding
the updates.
-------------------------------------------------------------------
Sun Nov 26 21:26:06 UTC 2017 - arun@gmx.de
- update to version 2.2.2:
* bullet chart figure factory. Call
help(plotly.figure_factory.create_bullet) for examples and how to
get started making bullet charts with the API.
-------------------------------------------------------------------
Fri Oct 27 15:47:20 UTC 2017 - arun@gmx.de
- update to version 2.2.1:
* presentation objects now added to setup.py
- changes from version 2.2.0:
* Added
+ NEW Presentations API for Python! Run
help(plotly.presentation_objs.Presentations) for help or check
out the new documentation
-------------------------------------------------------------------
Fri Oct 13 16:03:02 UTC 2017 - arun@gmx.de
- update to version 2.1.0:
* Updated plotly.min.js to version 1.31.0.
+ New features include a table trace type.
+ See the plotly.js CHANGELOG for additional information regarding
the updates.
-------------------------------------------------------------------
Sat Oct 7 03:43:33 UTC 2017 - arun@gmx.de
- update to version 2.0.16:
* Updated plotly.min.js to version 1.31.0 for plotly.offline.
See the plotly.js CHANGELOG for additional information regarding the updates.
-------------------------------------------------------------------
Tue Oct 3 01:20:15 UTC 2017 - arun@gmx.de
- update to version 2.0.15:
* Updated plotly.min.js to version 1.30.0 for plotly.offline.
+ See the plotly.js CHANGELOG for additional information regarding
the updates.
-------------------------------------------------------------------
Thu Aug 17 15:06:34 UTC 2017 - toddrme2178@gmail.com
- Update to python-plotly-2.0.14
- Fix imports
-------------------------------------------------------------------
Wed Aug 2 10:16:04 UTC 2017 - alarrosa@suse.com
- Update to python-plotly-2.0.12
- Use singlespec macros
-------------------------------------------------------------------
Wed Apr 29 13:23:34 UTC 2015 - toddrme2178@gmail.com
- Initial version
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