**cut()**
[[http://pandas.pydata.org/pandas-docs/stable/generated/pandas.cut.html#pandas.cut|ref]]

Simple cut

<code>
footprintBins = [0, 500, 750, 1000, 1500, 10000, 100000]

df_building['footprintClass'] = pd.cut(
    df_building.footprintPerUnit, footprintBins)
</code>

Cut with custom labels; convert resulting category to string

<code>
storeyClassBins_aptHi = [4, 14, 24, 999]
storeyClassBins_aptHi_labels = ['5To14Storey', '15To24Storey', '25AndUpStorey']

df_aptByP_Hi_bldgMatch['storeysClass'] = pd.cut(
    df_aptByP_Hi_bldgMatch.numStoreys_est, storeyClassBins_aptHi,
    labels=storeyClassBins_aptHi_labels)
df_aptByP_Hi_bldgMatch['storeysClass'] = \
    df_aptByP_Hi_bldgMatch['storeysClass'].astype(str)
</code>