R has a useful function
pairs that provides nice matrix of plots of pairwise connections between variables in a data set. The resulting plot looks similar to the following figure, copied from this blog post:
Is there any ready to use function based on python's matplolib? I have searched its gallery, but couldn't find anything that resembles what I need. Technically, this should be a simple task, but proper handling of all the possible cases, labels, titles, etc is very tedious.
UPDATE see below my answer with a quick and dirty approximation.
import numpy as np import pandas as pd import matplotlib.pyplot as plt df = pd.DataFrame(np.random.randn(1000, 4), columns=['A','B','C','D']) axes = pd.tools.plotting.scatter_matrix(df, alpha=0.2) plt.tight_layout() plt.savefig('scatter_matrix.png')
However it is
pandas specific (but could be used as a starting point).
There are some more
R like plots in pandas. Have a look at the docs.
Quick and dirty approximation to my needs:
def pair(data, labels=None): """ Generate something similar to R `pair` """ nVariables = data.shape if labels is None: labels = ['var%d'%i for i in range(nVariables)] fig = pl.figure() for i in range(nVariables): for j in range(nVariables): nSub = i * nVariables + j + 1 ax = fig.add_subplot(nVariables, nVariables, nSub) if i == j: ax.hist(data[:,i]) ax.set_title(labels[i]) else: ax.plot(data[:,i], data[:,j], '.k') return fig
The code above is hereby released into the public domain