pandas (original) (raw)

This is a follow-up on #5530 and the general Python 3 compat for docs issue. It is the first episode of my journey into the unknown Python-3-compat-for-doc-examples-land.

While some errors should be rather easy to fix (e.g. xrange) I just stumbled upon this one (doc/source/comparison_with_r.rst line 54) which fails under Python 3:

import pandas as pd import numpy as np options.display.max_rows=15 from pandas import DataFrame

df = DataFrame({ 'v1': [1,3,5,7,8,3,5,np.nan,4,5,7,9], 'v2': [11,33,55,77,88,33,55,np.nan,44,55,77,99], 'by1': ["red", "blue", 1, 2, np.nan, "big", 1, 2, "red", 1, np.nan, 12], 'by2': ["wet", "dry", 99, 95, np.nan, "damp", 95, 99, "red", 99, np.nan, np.nan] })

g = df.groupby(['by1','by2']) g[['v1','v2']].mean()

TypeError: unorderable types: str() > int()

Is the usage wrong here or is it a bug?