Better binning in pandas [duplicate]
Perhaps you are looking for pandas.cut:
import pandas as pdimport numpy as npdf = pd.DataFrame(np.arange(50), columns=['filtercol'])filter_values = [0, 5, 17, 33] out = pd.cut(df.filtercol, bins=filter_values)counts = pd.value_counts(out)# counts is a Seriesprint(counts)yields
(17, 33] 16(5, 17] 12(0, 5] 5To reorder the result so the bin ranges appear in order, you could use
counts.sort_index()which yields
(0, 5] 5(5, 17] 12(17, 33] 16Thanks to nivniv and InLaw for this improvement.
See also Discretization and quantiling.