Why Python ggplot returns name 'aes' is not defined?
You need to import aes: from ggplot import aes Alternatively, you can just import everything in the ggplot namespace: from ggplot import * ...
Is there a way to plot a pandas series in ggplot?
This is more of a workaround but you can use qplot for quick, shorthand plots using series. from ggplot import * qplot(meat.beef) ...
How to make a scatter plot for clustering in Python
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 =...
Can't import ggplot module in iPython
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. ...
Python ggplot format axis number as percent not functioning
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') ...
Get python ggplot bar axis right?
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 : ...
ggplot Bar Plot semantics
How about: ggplot(aes(x='date', y='entries_sum'), data=data) + geom_bar(stat='identity') ...
Where does python ggplot take its default values from
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...