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Altair backend for pandas plotting

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Hello PdVega Team, I am trying to create some charts using PdVega. The current version of pandas on my PC is 1.3.0. Chart creation using PdVega is failing with below...

Thank you for this! Would be great if the package were on pypi for ease of things like putting into a requirements.txt file.

[See: pandas.DataFrame.plot.scatter](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.scatter.html#pandas.DataFrame.plot.scatter) ```python df = pd.DataFrame(np.random.rand(50, 4), columns=['a', 'b', 'c', 'd']) df.plot.scatter(x='a', y='b', c='c', colormap='viridis') ``` ![image](https://user-images.githubusercontent.com/3757165/64027193-d526d600-cb5d-11e9-8bab-1293bb8e9c9b.png) If this looks good, I'll update tests.

Should all charts be wrapped with ```python _DEFAULT_WIDTH = 400 return alt.Chart(...).(...)..properties(width=kwargs.get('width', _DEFAULT_WIDTH)) ``` This would make fewer data points barchart also look consistently sized. As opposed to using rangeStep....

Obviously the wrong repo to post, but perhaps someone knows why Pandas sticks to matplotlib for scatter_matrix? I was hoping to add it to altair_pandas as this is the main...

most (all?) pandas plot functions support - color - title - figsize - ax - alpha - cmap - legend Many also support shape and size. Part of those arguments...

It seems to be impossible to control the width of the chart (and generally not useful) with a large number of rows