plotly

[3.3.0] - 2018-09-28

Updated

• Updated Plotly.js to version 1.41.3. Select highlights included below, see the plotly.js CHANGELOG for more information.
• Do not create or check permissions on the ~/.plotly configuration directory until a configuration write operation is performed (#1195). This change avoids some concurrency problems associated with running many instances of plotly.py simultaneously (#1068).

Added

• Enable selection by clicking on points via new layout attribute clickmode and flag 'select' (#2944)
• Added stacked area charts via new attributes stackgroup and stackgaps in scatter traces (#2960)
• Added barpolar trace type - which replace and augment area traces (#2954)
• Added polar.hole layout parameter to punch hole at the middle of polar subplot offsetting the start of the radial range (#2977, #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)
• Figures and graph objects now support deepcopy and pickle operations (#1191)
• The location of the "~/.plotly" settings directory may now be customized using the PLOTLY_DIR environment variable (#1195)
• Added optional scaleratio argument to the create_quiver figure factory. When specified, the axes are restricted to this ratio and the quiver arrows are computed to have consistent lengths across angles. (#1197)

Fixed

• Replace use of pkg_resources.resource_string with pkgutil.get_data to improve compatibility with cx_Freeze (#1201)
• An exception is no longer raised when an optional dependency raises an exception on import. The exception is logged and plotly.py continues as if the dependency were not installed (#1192)
• Fixed invalid dendrogram axis labels when the points being clustered contain duplicate values (#1186)
• Added missing LICENSE.txt file to PyPI source distribution (#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

[3.2.1] - 2018-09-14

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 figure properties will result in an exception (this is identical to the previous behavior). When skip_invalid is set to True, invalid properties will instead be silently ignored. This argument replaces the _raise argument that was available in version 2, and makes it possible to import figure definitions from different plotly versions, where incompatible properties are ignored rather than causing an exception.
• A to_ordered_dict method has been added to the Figure and FigureWidget classes. This method returns a representation of the figure as a nested structure 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 to 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, plotly/plotly.py#1163)
• Numpy arrays with uint64 datatype caused a FigureWidget error, and no figure was displayed (plotly/plotly.py#1155, plotly/plotly.py#1163)

[3.2.0] - 2018-09-05

This release introduces the long-anticipated ability to programmatically export figures as high quality static images in both raster and vector formats.

JupyterLab Versions

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, plotly/plotly.js#2914)
  • Add scatterpolar and scatterpolargl attributes r0, dr, theta0 and dtheta (plotly/plotly.js#2895)
  • Add layout attributes piecolorway and extendpiecolors for more control over pie colors (plotly/plotly.js#2870)
  • Add splom attribute dimensions[i].axis.type to easily override axis type in splom-generated axes (plotly/plotly.js#2899)
  • Add support for on-graph text in scatterpolargl traces (plotly/plotly.js#2895)
  • See the plotly.js CHANGELOG 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).
  • Note: Image export requires the plotly orca command line utility and the psutil Python package.
• New documentation sections covering Static Image Export and Orca Management
• Support for displaying FigureWidget instances in static contexts (e.g. nbviewer) just like the built-in ipywidgets (#1117)
• Full integration of the Cividis colorscale (#883)
• conda packaging
  • From here forward, new versions of plotly.py will be published to the plotly anaconda channel on the same day they are published to PyPI. (72ad0e4)
  • The README 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 from the plotly anaconda channel.

Updated

• Show traces at the top of the Gantt chart's colorbar (#1110)
• Significantly improved validation performance for numeric pandas Series objects (#1149)
• Specialize auto-generated docstrings for Python syntax
• More robust and specific logic for retrying requests to the plot.ly cloud service (#1146)
• Support basic authentication when using the streaming API behind a proxy server (#1133)

Fixed

• Validators for dash properties (e.g. scatter.line.dash) incorrectly rejected dash length lists (#1136)
• Annotated heatmap error when custom colorscale was specified (#1151)
• Incorrect deprecation warning for deprecated plotly.graph_objs.Annotations class (#1138)
• Harmless JavaScript console error when opening an html file produced by plotly.offline.plot (#1152)
• Incorrect validation errors when writing data to the streaming API (#1145)

[3.1.1] - 2018-08-10

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
  • See the plotly.js CHANGELOG for more information

Fixed

• Fixed error in validation of configkeys plotly/plotly.js#1065
• Fixed error in presentation of named colorscales plotly/plotly.js#1089
• Fixed numerical precision error when using plotly.tools.make_subplots to create figures with a large number of subplots plotly/plotly.js#1091
• Fixed problem that prevented the use of the .update method to initialize an array property (e.g. layout.shapes) plotly/plotly.js#1091
• Fixed FigureWidget problem causing scroll zoom on 3D plots to stutter plotly/plotly.js#1094
• Fixed invalid tickmode property in matplotlylib plotly/plotly.js#1101

[3.1.0] - 2018-07-20

JupyterLab Versions

For use with JupyterLab, the following versions of the following packages must be installed. See 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 for more information.

Added

• Added 3D streamtube traces plotly/plotly.js#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

Added

• Add modebardisable attribute to cartesian axes, to allow fine control over which buttons affect which axes [#7358]
• Add unifiedhovertitle.text to format unified hover titles [#7439]
• Add layout.hoverlabel.showarrow (and trace.hoverlabel.showarrow) attribute to allow hiding the triangular caret that appears on the hover label box [#7451]
• Add minorloglabels to cartesian axes [#7468]
• Make modebar keyboard-accessible via tabbing [#7492], with thanks to @davidangarita1 for the contribution!

Changed

• Refactor files related to UN topojson [#7481]

Fixed

• Fix hidden ticklabels taking up plot space [#7417]
• Fix editable shapes (regression introduced in 2.34.0) [#7470], with thanks to @my-tien for the contribution!

[3.0.2] - 2018-07-17

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
• Error where the v property was ignored in cone traces GH1060
• Assorted performance improvements when constructing graph objects GH1061

[3.0.0] - 2018-07-05

This is a major version with many exciting updates. See the Introducing plotly.py 3.0.0 post for more information.

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 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 for a full list of the changes and deprecations in version 3.0.0

Removed

• Drop support for passing a string to the title attribute, and drop support for deprecated attributes titlefont, titleposition, titleside, and titleoffset (use title.text, title.font, title.side, title.offset instead)[#7212]
• Drop deprecated pointcloud and heatmapgl traces and gl2d subplots [#7213] Drop support for deprecated bardir attribute (use orientation instead) [#7214]
• Drop support for deprecated annotation.ref attribute (use annotation.xref and annotation.yref instead) [#7215]
• Drop support for deprecated error bar opacity attribute (use alpha channel of error bar color attribute instead) [#7214]
• Drop support for deprecated attribute gl3d.cameraposition (use gl3d.camera instead) [#7217]
• Drop deprecated plot3dPixelRatio from config [#7231]
• Drop deprecated zauto, zmin and zmax from the surface trace [#7234]
• Drop deprecated autotick attributes from cartesian axes [#7236]
• Drop transforms from the API [#7240, #7254]
• Drop jQuery events support [#7224]
• Drop the AMD support from the bundle header [#7229]

Changed

• Switch from webpack to esbuild for fast builds & testing as well as allowing modern JavaScript beyond es5 [#6909]
• Make offsetgroup work with barmode "stacked" and "relative" for bar traces [#7009]
• Node v18 required for development [#7116]
• Cleanup remaining code that was there to support the Internet Explorer [#7251]
• Deprecate mapbox traces and provide links to migration docs for plotly.js and plotly.py users [#7260]

Fixed

• Remove inline styles that break plots in strict CSP setups [#7109], with thanks to @martian111 for the contribution!
• Allow null or broken selection objects without throwing an error [#7164]
• Render scatterternary traces correctly if they have the ids attribute [#7164]
• Do not convert url-sourced layout images to data URI unless we're in staticPlot mode, to improve interactivity when images are changed with zoom/pan [#7199]
• Fix source map of the mablibre dependency [#7204]
• Fix years in license [#7205]
• Maintain layout images element identity based on coordinates, for smoother updates when you add or remove images early in the list. [#7277]
• Fix handling of new domain values given in the Plotly.react function to prevent loss of new domain values. [#7283]

Updated

• Updated plotly.min.js to version 1.38.0.
  • New features include a 3D cone trace to visualize vector fields.
  • See the plotly.js CHANGELOG for additional information regarding the updates.

Updated

• Updated plotly.min.js to version 1.37.1.
  • New features include a splom (scatter plot matrix) trace type.
  • See the plotly.js CHANGELOG for additional information regarding the updates.
• Error message for plotly.figure_factory.create_choropleth is more helpful for Windows users on installing geopandas and dependencies including shapely.

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.

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 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.

Fixed

• The required shapefiles to generate the choropleths via plotly.figure_factory.create_choropleth are now shipped in the package data.

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: Calling plotly.figure_factory.create_choropleth will fail with an IOError due to missing shapefiles see: https://github.com/plotly/plotly.py/blob/master/CHANGELOG.md#241---2018-02-21

Fixed

• Merged pull request that fixes GraphWidget for IPython > v6

Updated

• Updated plotly.min.js to version 1.33.1.
  • New plot types include a violin trace type.
  • New features include completely rewritten scattergl using regl and a completely rewritten polar chart renderer.
  • See the plotly.js CHANGELOG for additional information regarding the updates.

Added

-column_width and row_width parameters for plotly.tools.make_subplots. Call help(plotly.tools.make_subplots) for documentation.

Updated

• 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.

Added

• Bullet chart figure factory. Call help(plotly.figure_factory.create_bullet) for examples and how to get started making bullet charts with the API.

Fixed

• Presentation objects now added to setup.py

Added

• NEW Presentations API for Python! Run help(plotly.presentation_objs.Presentations) for help or check out the new documentation

Updated

• 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.

Updated

• Updated plotly.min.js to version 1.31.0 for plotly.offline.
  • See the plotly.js CHANGELOG for additional information regarding the updates.

Updated

• Updated plotly.min.js to version 1.30.0 for plotly.offline.
  • See the plotly.js CHANGELOG for additional information regarding the updates.

Fixed

• Sharekey enabling issue where plots were made private instead of secret.
• Issue removing rug plots from violin plots with multiple traces.

Updated

• Updated plotly.min.js to version 1.29.1 for plotly.offline.
  • See the plotly.js CHANGELOG for additional information regarding the updates.
• figure_factory.create_gantt and figure_factory.create_dendrogram now return a Plotly figure (consistent with other figure factory chart types).
• offline.init_notebook_mode() is now optional when using offline.iplot().

Updated

• Updated plotly.min.js to version 1.28.3 for plotly.offline.
  • See the plotly.js CHANGELOG for additional information regarding the updates.

Added

• figure_factory.create_facet_grid now supports histogram, bar, and box traces.

Updated

• Updated plotly.min.js to version 1.28.1 for plotly.offline.
  • See the plotly.js CHANGELOG for additional information regarding the updates.

Added

• The figure_factory can now create facet grids with .create_facet_grid. Check it out with:

import plotly.figure_factory as ff
help(ff.create_facet_grid)

Fixed

• Fixes issue https://github.com/plotly/plotly.py/issues/721. There was an issue when running import plotly with old versions of the decorator package. We now require installations to use at least version 4.0.6 of the decorator package. See https://github.com/micheles/decorator/blob/master/CHANGES.md for the decorator package changelog.

Added

• 'sort' parameter to FF.create_violin to control whether violin plots are sorted alphabetically.

Added

• Beta: Added API methods that wrap the API endpoint for managing Dash objects on plot.ly. The API interface is under plotly.api.v2.dash_apps
• offline embedded plots are now responsive to window resizing when output_type == "div" is set in plotly.offline.iplot().
• Offline embedded plots are now responsive to window resizing when output_type == "div" is set in plotly.offline.iplot().
• Offline animations are now supported on Plotly Cloud.

Updated

• Updated plotly.min.js to version 1.26.0 for plotly.offline.
  • See the plotly.js CHANGELOG for additional information regarding the updates.

Updated

• plotly.offline.plot and plotly.offline.iplot now accept various configuration options for their arguments.

Updated

• Updated plotly.min.js to version 1.25.0 for plotly.offline.
  • See the plotly.js CHANGELOG for additional information regarding the updates.

Added

• Added check to verify the share key is enabled when secret charts are created.

Added

• Added a new mimetype 'text/vnd.plotly.v1+html' for iplot outputs.

Fixed

• import plotly was broken in 2.0.3 and 2.0.2 because the new dashboard_objs wasn't included in our setup.py's "packages". Now it is and import plotly and the other features introduced in 2.0.3 and 2.0.2 should work.

Fixed

• Offline plots created with plotly.offline.plot now resize as expected when the window is resized.
• plotly.figure_factory.create_distplot now can support more than 10 traces without raising an error. Updated so that if the list of colors (default colors too) is less than your number of traces, the color for your traces will loop around to start when it hits the end.

Added

• Support for rendering plots in nteract! See https://github.com/nteract/nteract/pull/662 for the associated PR in nteract.
• As part of the above, plotly output now prints with a custom mimetype - application/vnd.plotly.v1+json
• memoize decorator added to plotly.utils

Changed

• a Grid from plotly.grid_objs now accepts a pandas.Dataframe as its argument.
• computationally-intensive graph_reference functions are memoized.

Same as the pre-release, but this one corresponds to the 2.0.0 on PyPI and is the first official 2.x release. Please note the deprecation section from the changelog (copied below for convenience).

[2.0.0] - 2017-01-25

Changed

• plotly.exceptions.PlotlyRequestException is always raised for network failures. Previously either a PlotlyError, PlotlyRequestException, or a requests.exceptions.ReqestException could be raised. In particular, scripts which depend on try-except blocks containing network requests should be revisited.
• plotly.py:sign_in now validates to the plotly server specified in your config. If it cannot make a successful request, it raises a PlotlyError.
• plotly.figure_factory will raise an ImportError if numpy is not installed.
• plotly.figure_factory.create_violin() now has a rugplot parameter which determines whether or not a rugplot is draw beside each violin plot.

Deprecated

• plotly.tools.FigureFactory. Use plotly.figure_factory.*.
• (optional imports) plotly.tools._*_imported It was private anyhow, but now it's gone. (e.g., _numpy_imported)
• (plotly v2 helper) plotly.py._api_v2 It was private anyhow, but now it's gone.

[1.13.0] - 2016-01-17

Added

• Python 3.5 has been added as a tested environment for this package.

Updated

• plotly.plotly.create_animations and plotly.plotly.icreate_animations now return appropriate error messages if the response is not successful.
• frames are now integrated into GRAPH_REFERENCE and figure validation.

Changed

• The plot-schema from https://api.plot.ly/plot-schema is no longer updated on import.

Updated

• Updated plotly.min.js to version 1.20.5 for plotly.offline.
  • See the plotly.js CHANGELOG for additional information regarding the updates.
• FF.create_scatterplotmatrix now by default does not show the trace labels for the box plots, only if diag=box is selected for the diagonal subplot type.

Fixed

• The link text in the bottom right corner of the offline plots now properly displays Export to [Domain Name] for the given domain name set in the users' .config file.

Updated

• FF.create_violin and FF.create_scatterplotmatrix now by default do not print subplot grid information in output
• Removed alert that occurred when downloading plot images offline. Please note: for higher resolution images and more export options, consider making requests to our image servers. See: help(py.image) for more details.

Added

• Plot configuration options for offline plots. See the list of configuration options and examples for more information.
  • Please note that these configuration options are for offline plots ONLY. For configuration options when embedding online plots please see our embed tutorial.
• colors.py file which contains functions for manipulating and validating colors and arrays of colors
• 'scale' param in FF.create_trisurf which now can set the interpolation on the colorscales
• animations now work in offline mode. By running plotly.offline.plot() and plotly.offline.iplot() with a fig with frames, the resulting plot will cycle through the figures defined in frames either in the browser or in an ipython notebook respectively. Here's an example:

import IPython.display
from IPython.display import display, HTML
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)

figure_or_data = {'data': [{'x': [1, 2], 'y': [0, 1]}],
                  'layout': {'xaxis': {'range': [0, 3], 'autorange': False},
                             'yaxis': {'range': [0, 20], 'autorange': False},
                  'title': 'First Title'},
                  'frames': [{'data': [{'x': [1, 2], 'y': [5, 7]}]},
                             {'data': [{'x': [-1, 3], 'y': [3, 9]}]},
                             {'data': [{'x': [2, 2.6], 'y': [7, 5]}]},
                             {'data': [{'x': [1.5, 3], 'y': [7.5, 4]}]},
                             {'data': [{'x': [1, 2], 'y': [0, 1]}],
                              'layout': {'title': 'End Title'}}]}
iplot(figure_or_data)

More examples can be found at https://plot.ly/python/animations/.

• animations now work in online mode: use plotly.plotly.create_animations and plotly.plotly.icreate_animations which animate a figure with the frames argument. Here is a simple example:

import plotly.plotly as py
from plotly.grid_objs import Grid, Column

column_1 = Column([0.5], 'x')
column_2 = Column([0.5], 'y')
column_3 = Column([1.5], 'x2')
column_4 = Column([1.5], 'y2')

grid = Grid([column_1, column_2, column_3, column_4])
py.grid_ops.upload(grid, 'ping_pong_grid', auto_open=False)

# create figure
figure = {
    'data': [
        {
            'xsrc': grid.get_column_reference('x'),
            'ysrc': grid.get_column_reference('y'),
            'mode': 'markers',
        }
    ],
    'layout': {'title': 'Ping Pong Animation',
               'xaxis': {'range': [0, 2], 'autorange': False},
               'yaxis': {'range': [0, 2], 'autorange': False},
               'updatemenus': [{
                   'buttons': [
                       {'args': [None],
                        'label': u'Play',
                        'method': u'animate'}
               ],
               'pad': {'r': 10, 't': 87},
               'showactive': False,
               'type': 'buttons'
                }]},
    'frames': [
        {
            'data': [
                {
                    'xsrc': grid.get_column_reference('x2'),
                    'ysrc': grid.get_column_reference('y2'),
                    'mode': 'markers',
                }
            ]
        },
        {
            'data': [
                {
                    'xsrc': grid.get_column_reference('x'),
                    'ysrc': grid.get_column_reference('y'),
                    'mode': 'markers',
                }
            ]
        }
    ]
}

py.create_animations(figure, 'ping_pong')

Fixed

• Trisurf now uses correct Plotly Colorscales when called
• Fixed a bug in the format of unique-identifiers in columns of grids that are uploaded to plotly via plotly.plotly.upload. See https://github.com/plotly/plotly.py/pull/599 for details. In particular, creating plots that are based off of plotly grids is no longer broken. Here is an example:

import plotly.plotly as py
from plotly.grid_objs import Grid, Column

c1 = Column([6, 6, 6, 5], 'column 1')
c2 = Column(['a', 'b', 'c', 'd'], 'column 2')
g = Grid([c1, c2])

# Upload the grid
py.grid_ops.upload(g, 'my-grid', auto_open=False)

# Make a graph that with data that is referenced from that grid
trace = Scatter(xsrc=g[0], ysrc=g[1])
url = py.plot([trace], filename='my-plot')

Then, whenever you update the data in 'my-grid', the associated plot will update too. See https://plot.ly/python/data-api for more details on usage and examples.

Fixed

• the colorbar in .create_trisurf now displays properly in offline mode.

Updated

• the colorbar in .create_trisurf now displays the appropriate max and min values on the ends of the bar which corresponding to the coloring metric of the figure
• edges_color is now a param in .create_trisurf which only takes rgb values at the moment

Fixed

• Fixed color bug with trisurf plots where certain triangles were colored strangely. The coordinates of rgb(...) are now rounded to their nearest integer (using Python3 method of rounding), then placed in the color string to fix the issue.