python,python-2.7,matplotlib,ggplot2,python-ggplot

This is now available in version 0.5.3 (I just pushed this). >>> from ggplot import * >>> import numpy as np >>> import pandas as pd >>> df = pd.DataFrame({ "x": np.arange(0, 10), "y": np.arange(0, 1, 0.1) }) >>> ggplot(df, aes(x='x', y='y')) +\ ... geom_point() +\ ... scale_y_continuous(labels='percent') ...

How about: ggplot(aes(x='date', y='entries_sum'), data=data) + geom_bar(stat='identity') ...

You need to import aes: from ggplot import aes Alternatively, you can just import everything in the ggplot namespace: from ggplot import * ...

Use parameters "binwidth", "limits" and "breaks" like this : ggplot.ggplot(ggplot.aes(x='pips', weight='events'), frame) + ggplot.geom_bar(binwidth=1) + ggplot.scale_x_continuous(limits = (1,6), breaks = range(1,7)) Which gives me : ...

I assume you are referring to the ggplot package from http://ggplot.yhathq.com/? There does not seem to be any equivalent to the theme_set function of the ggplot2 R package, the default theme is currently hardcoded to be theme_grey(). I think the best you can do is to define your theme in...

You probably need to install ggplot via the terminal first. Assuming you already have pip installed, run this in the terminal:$ pip install ggplot You should see the package download. Then go back to your notebook and run your same commands again. ...

This is more of a workaround but you can use qplot for quick, shorthand plots using series. from ggplot import * qplot(meat.beef) ...

python,matplotlib,seaborn,python-ggplot

The first part of your question can be done using colorbar and specifying the colours to be the Cluster array. I have vaguely understood the second part of your question, but I believe this is what you are looking for. import numpy as np import matplotlib.pyplot as plt x =...