bucket dataframe into ranges

38
def conditions(i): 
    if i <=50: return '0-50'
    if i > 50 and i <=100: return '50-100'
    if i > 100 and i <=250: return '100-250'
    if i > 250 and i <=350: return '250-350'
    if i > 350: return '>350'

df['C']=df['B'].apply(conditions)

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