Update plotly to 2.0.11 #92

pyup-bot · 2017-06-30T17:50:09Z

There's a new version of plotly available.
You are currently using 1.6.16. I have updated it to 2.0.11

These links might come in handy: PyPI | Changelog | Homepage

Changelog

2.0.11

Updated

Updated plotly.min.js to version 1.28.1 for plotly.offline.

See the plotly.js CHANGELOG for additional information regarding the updates.

2.0.10

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)

2.0.9

Fixed

Fixes issue list index out of range exception when importing graph_objs plotly/plotly.py#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.

2.0.8

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.

2.0.7

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.

2.0.6

Added

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

2.0.5

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.

2.0.4

Note: This release's installation was broken. It has been removed from PyPI
Added

Added dashboard_objs to top level import.

2.0.3

Note: This release's installation was broken. It has been removed from PyPI
Added

Dashboards can now be created using the API and uploaded to Plotly. Use import plotly.dashboard_objs to create a Dashboard object. You can learn more about Dashboard objects by running help(plotly.dashboard_objs) and help(plotly.plotly.plotly.dashboard_ops) for uploading and retrieving dashboards from the cloud.

2.0.2

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.

2.0.1

Added

Support for rendering plots in nteract!
See Plotly.js renderer nteract/nteract#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.

2.0.0

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

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.

1.12.12

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.

1.12.11

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.

1.12.10

Updated

FF.create_violin and FF.create_scatterplotmatrix now by default do not print subplot grid information in output

Removed alert that occured 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 Fix iplot offline plotly/plotly.py#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 `&#39;my-grid&#39;`, the associated plot will update too. See https://plot.ly/python/data-api for more details on usage and examples.

1.12.9

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

1.12.8

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.

1.12.7

Fixed

Edited plotly.min.js due to issue using iplot to plot offline in Jupyter Notebooks

Please note that plotly.min.js may be cached in your Jupyter Notebook. Therefore, if you continue to experience this issue after upgrading the Plotly package please open a new notebook or clear the cache to ensure the correct plotly.min.js is referenced.

1.12.6

Updated

Updated plotly.min.js from 1.14.1 to 1.16.2

Trace type scattermapbox is now part of the main bundle

Add updatemenus (aka dropdowns) layout components

See the plotly.js CHANGELOG for additional information regarding the updates

1.12.5

Updated

.create_trisurf now supports a visible colorbar for the trisurf plots. Check out the docs for help:
import plotly.tools as tls
help(tls.FigureFactory.create_trisurf)

1.12.4

Added

The FigureFactory can now create 2D-density charts with .create_2D_density. Check it out with:
import plotly.tools as tls
help(tls.FigureFactory.create_2D_density)

1.12.3

Updated

Updated plotly.min.js from 1.13.0 to 1.14.1

Numerous additions and changes where made to the mapbox layout layers attributes

Attribute line.color in scatter3d traces now support color scales

Layout shapes can now be moved and resized (except for 'path' shapes) in editable contexts

See the plotly.js CHANGELOG for additional information regarding the updates

Updated default-schema

Added

Added update_plotlyjs_for_offline in makefile in order to automate updating plotly.min.js for offline mode

1.12.2

Updated

Updated plotly.min.js so the offline mode is using plotly.js v1.13.0

Fix Plotly.toImage and Plotly.downloadImage bug specific to Chrome 51 on OSX

Beta version of the scattermapbox trace type - which allows users to create mapbox-gl maps using the plotly.js API. Note that scattermapbox is only available through custom bundling in this release.

See the plotly.js CHANGELOG for additional additions and updates.

Added

The FigureFactory can now create gantt charts with .create_gantt. Check it out with:
import plotly.tools as tls
help(tls.FigureFactory.create_gantt)
Ability to download images in offline mode. By providing an extra keyword image to the existing plot calls, you can now download the images of the plots you make in offline mode.

Fixed

Fixed check for the height parameter passed to _plot_html, and now sets the correct link text for plots
generated in offline mode.

1.12.1

Added

The FigureFactory can now create violin plots with .create_violin. Check it out with:
import plotly.tools as tls
help(tls.FigureFactory.create_violin)

1.12.0

Added

Added ability to enable/disable SSL certificate verification for streaming. Disabling SSL certification verification requires Python v2.7.9 / v3.4.3 (or above). This feature can be toggled via the plotly_ssl_verification configuration setting.

1.11.0

Updated

Changed the default option for create_distplot in the figure factory from probability to probability density and also added the histnorm parameter to allow the user to choose between the two options.
Note: This is a backwards incompatible change.

Updated plotly.min.js so the offline mode is using plotly.js v1.12.0

Light position is now configurable in surface traces

surface and mesh3d lighting attributes are now accompanied with comprehensive descriptions

Allowed create_scatterplotmatrix and create_trisurf to use divergent and categorical colormaps. The parameter palette has been replaced by colormap and use_palette has been removed. In create_scatterplotmatrix, users can now:

Input a list of different color types (hex, tuple, rgb) to colormap to map colors divergently

Use the same list to categorically group the items in the index column

Pass a singlton color type to colormap to color all the data with one color

Input a dictionary to colormap to map index values to a specific color

'cat' and 'seq' are valid options for colormap_type, which specify the type of colormap being used

In create_trisurf, the parameter dist_func has been replaced by color_func. Users can now:

Input a list of different color types (hex, tuple, rgb) to colormap to map colors divergently

Input a list|array of hex and rgb colors to color_func to assign each simplex to a color

Added

Added the option to load plotly.js from a CDN by setting the parameter connected=True
in the init_notebook_mode() function call

The FigureFactory can now create trisurf plots with .create_trisurf. Check it out with:
import plotly.tools as tls
help(tls.FigureFactory.create_trisurf)

1.10.0

making an iplot call. It makes init_notebook_mode idempotent: you can call
it multiple times without worrying about losing your plots on refresh.

1.9.13

Fixed

Fixed issue in offline mode related to the inability to reload plotly.js on page refresh and extra init_notebook_mode calls.

1.9.12

Added

SSL support for streaming.

1.9.11

Added

The FigureFactory can now create scatter plot matrices with .create_scatterplotmatrix. Check it out with:
import plotly.tools as tls
help(tls.FigureFactory.create_scatterplotmatrix)

1.9.10

Updated

Updated plotly.min.js so the offline mode is using plotly.js v1.10.0

Added beta versions of two new 2D WebGL trace types: heatmapgl, contourgl

Added fills for scatterternary traces

Added configurable shapes layer positioning with the shape attribute: layer

1.9.9

Fixed

Fixed require is not defined issue when plotting offline outside of Ipython Notebooks.

1.9.8

Fixed

Error no longer results from a "Run All" cells when working in a Jupyter Notebook.

Updated

Updated plotly.min.js so offline is using plotly.js v1.9.0

Added Ternary plots with support for scatter traces (trace type scatterternary, currently only available in offline mode)

For comprehensive update list see the plotly.js CHANGELOG

1.9.7

Fixed

Offline mode will no longer delete the Jupyter Notebook's require, requirejs, and define variables.

Updated

Updated plotly.min.js so offline is using plotly.js v1.8.0

Added range selector functionality for cartesian plots

Added range slider functionality for scatter traces

Added custom surface color functionality

Added ability to subplot multiple graph types (SVG cartesian, 3D, maps, pie charts)

For comprehensive update list see the plotly.js CHANGELOG

1.9.6

Updated

Updated plotly.min.js so offline is using plotly.js v1.5.2

1.9.5

Added

Offline matplotlib to Plotly figure conversion. Use offline.plot_mpl to convert and plot a matplotlib figure as a Plotly figure independently of IPython/Jupyter notebooks or use offline.iplot_mpl to convert and plot inside of IPython/Jupyter notebooks. Additionally, use offline.enable_mpl_offline to convert and plot all matplotlib figures as plotly figures inside an IPython/Jupyter notebook. See examples below:

An example independent of IPython/Jupyter notebooks:
from plotly.offline import init_notebook_mode, plot_mpl
import matplotlib.pyplot as plt

init_notebook_mode()

fig = plt.figure()
x = [10, 15, 20]
y = [100, 150, 200]
plt.plot(x, y, "o")

plot_mpl(fig)

An example inside of an IPython/Jupyter notebook:
from plotly.offline import init_notebook_mode, iplot_mpl
import matplotlib.pyplot as plt

init_notebook_mode()

fig = plt.figure()
x = [10, 15, 20]
y = [100, 150, 200]
plt.plot(x, y, "o")

iplot_mpl(fig)

An example of enabling all matplotlib figures to be converted to
Plotly figures inside of an IPython/Jupyter notebook:
from plotly.offline import init_notebook_mode, enable_mpl_offline
import matplotlib.pyplot as plt

init_notebook_mode()
enable_mpl_offline()

fig = plt.figure()
x = [10, 15, 20, 25, 30]
y = [100, 250, 200, 150, 300]
plt.plot(x, y, "o")
fig

1.9.4

Added

Offline plotting now works outside of the IPython/Jupyter notebook. Here's an example:
from plotly.offline import plot
from plotly.graph_objs import Scatter

plot([Scatter(x=[1, 2, 3], y=[3, 1, 6])])

This command works entirely locally. It writes to a local HTML file with the necessary plotly.js code to render the graph. Your browser will open the file after you make the call.

The call signature is very similar to plotly.offline.iplot and plotly.plotly.plot and plotly.plotly.iplot, so you can basically use these commands interchangeably.

If you want to publish your graphs to the web, use plotly.plotly.plot, as in:

import plotly.plotly as py
from plotly.graph_objs import Scatter

py.plot([Scatter(x=[1, 2, 3], y=[5, 1, 6])])

This will upload the graph to your online plotly account.

1.9.3

Added

Check for no_proxy when determining if the streaming request should pass through a proxy in the chunked_requests submodule. Example: no_proxy='my_stream_url' and http_proxy=my.proxy.ip:1234, then my_stream_url will not get proxied. Previously it would.

1.9.2

Bug Fix: Previously, the "Export to plot.ly" link on
offline charts would export your figures to the
public plotly cloud, even if your config_file
(set with plotly.tools.set_config_file to the file
~/.plotly/.config) set plotly_domain to a plotly enterprise
URL like https://plotly.acme.com.

This is now fixed. Your graphs will be exported to your
plotly_domain if it is set.

1.9.1

Added

The FigureFactory can now create annotated heatmaps with .create_annotated_heatmap. Check it out with:
import plotly.tools as tls
help(tls.FigureFactory.create_annotated_heatmap)
The FigureFactory can now create tables with .create_table.
import plotly.tools as tls
help(tls.FigureFactory.create_table)

1.9.0

Previously, using plotly offline required a paid license.
No more: plotly.js is now shipped inside this package to allow
unlimited free use of plotly inside the ipython notebook environment.
The plotly.js library that is included in this package is free,
open source, and maintained independently on GitHub at
https://github.com/plotly/plotly.js.

The plotly.js bundle that is required for offline use is no longer downloaded
and installed independently from this package: plotly.offline.download_plotlyjs
is deprecated.

New versions of plotly.js will be tested and incorporated
into this package as new versioned pip releases;
plotly.js is not automatically kept in sync with this package.

1.8.12

Big data warning mentions plotly.graph_objs.Scattergl as possible solution.

1.8.9

If you're behind a proxy, you can make requests by setting the environmental variable HTTP_PROXY and HTTPS_PROXY (http://docs.python-requests.org/en/v1.0.4/user/advanced/proxies). This didn't work for streaming, but now it does.

1.8.8

Sometimes creating a graph with a private share-key doesn't work -
the graph is private, but not accessible with the share key.
Now we check to see if it didn't work, and re-try a few times until
it does.

1.8.7

Added

The FigureFactory can now create dendrogram plots with .create_dendrogram.

1.8.6

Fixed

Saving "world_readable" to your config file via plotly.tools.set_config actually works.

Added

You can also save auto_open and sharing to the config file so that you can forget these
keyword argument in py.iplot and py.plot.

1.8.5

Fixed

Fixed validation errors (validate=False workaround no longer required)

Added

Auto-sync API request on import to get the latest schema from Plotly

.-access for nested attributes in plotly graph objects

General .help() method for plotly graph objects

Specific attribute .help(<attribute>) also included

Removed

No more is streamable, streaming validation.

1.8.3

Fixed

Fixed typos in plot and iplot documentations

1.8.2

Added

CHANGELOG

sharing keyword argument for plotly.plotly.plot and plotly.plotly.iplot with options 'public' | 'private' | 'secret' to control the privacy of the charts. Depreciates world_readable

Changed

If the response from plot or iplot contains an error message, raise an exception

Removed

height and width are no longer accepted in iplot. Just stick them into your figure's layout instead, it'll be more consistent when you view it outside of the IPython notebook environment. So, instead of this:

py.iplot([{&#39;x&#39;: [1, 2, 3], &#39;y&#39;: [3, 1, 5]}], height=800)

do this:

py.iplot({
  &#39;data&#39;: [{&#39;x&#39;: [1, 2, 3], &#39;y&#39;: [3, 1, 5]}],
  &#39;layout&#39;: {&#39;height&#39;: 800}
})

Fixed

The height of the graph in iplot respects the figure's height in layout

Got merge conflicts? Close this PR and delete the branch. I'll create a new PR for you.

Happy merging! 🤖

pyup-bot · 2017-07-01T17:31:53Z

Closing this in favor of #95

Update plotly from 1.6.16 to 2.0.11

27ba150

pyup-bot closed this Jul 1, 2017

robhudson deleted the pyup-update-plotly-1.6.16-to-2.0.11 branch July 1, 2017 17:31

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Update plotly to 2.0.11 #92

Update plotly to 2.0.11 #92

pyup-bot commented Jun 30, 2017

pyup-bot commented Jul 1, 2017

Update plotly to 2.0.11 #92

Update plotly to 2.0.11 #92

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pyup-bot commented Jun 30, 2017

Changelog

2.0.11

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.13.0

1.12.12

1.12.11

1.12.10

1.12.9

1.12.8

1.12.7

1.12.6

1.12.5

1.12.4

1.12.3

1.12.2

1.12.1

1.12.0

1.11.0

1.10.0

1.9.13

1.9.12

1.9.11

1.9.10

1.9.9

1.9.8

1.9.7

1.9.6

1.9.5

1.9.4

1.9.3

1.9.2

1.9.1

1.9.0

1.8.12

1.8.9

1.8.8

1.8.7

1.8.6

1.8.5

1.8.3

1.8.2

pyup-bot commented Jul 1, 2017