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Copy file name to clipboardExpand all lines: CHANGELOG.md
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This project adheres to [Semantic Versioning](http://semver.org/).
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## [Unreleased]
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## [1.12.10] - 2016-11-23
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### Updated
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-`FF.create_violin` and `FF.create_scatterplotmatrix` now by default do not print subplot grid information in output
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### Fixed
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- Trisurf now uses correct `Plotly Colorscales` when called
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-`iplot()` and `plot()` now work offline
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- uploading grids via `py.upload()` now replaces columns in grid with `id` of the form `fid:uid`, not `fid/uid`
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- 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:
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```
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import plotly.plotly as py
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from plotly.grid_objs import Grid, Column
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c1 = Column([6, 6, 6, 5], 'column 1')
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c2 = Column(['a', 'b', 'c', 'd'], 'column 2')
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g = Grid([c1, c2])
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# Upload the grid
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py.grid_ops.upload(g, 'my-grid', auto_open=False)
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# Make a graph that with data that is referenced from that grid
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trace = Scatter(xsrc=g[0], ysrc=g[1])
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url = py.plot([trace], filename='my-plot')
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```
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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.
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