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Nov 23, 2016
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22 changes: 20 additions & 2 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,8 @@ All notable changes to this project will be documented in this file.
This project adheres to [Semantic Versioning](http://semver.org/).

## [Unreleased]

## [1.12.10] - 2016-11-23
### Updated
- `FF.create_violin` and `FF.create_scatterplotmatrix` now by default do not print subplot grid information in output

Expand All @@ -14,8 +16,24 @@ This project adheres to [Semantic Versioning](http://semver.org/).

### Fixed
- Trisurf now uses correct `Plotly Colorscales` when called
- `iplot()` and `plot()` now work offline
- uploading grids via `py.upload()` now replaces columns in grid with `id` of the form `fid:uid`, not `fid/uid`
- 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.

## [1.12.9] - 2016-08-22
### Fixed
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1 change: 1 addition & 0 deletions plotly/offline/offline.py
Original file line number Diff line number Diff line change
Expand Up @@ -253,6 +253,7 @@ def _plot_html(figure_or_data, config, validate, default_width,

return plotly_html_div, plotdivid, width, height


def iplot(figure_or_data, show_link=True, link_text='Export to plot.ly',
validate=True, image=None, filename='plot_image', image_width=800,
image_height=600):
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