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import numpy as np
import pandas as pd
from pandas import Series, DataFrame
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ser1 = Series(np.arange(3), index=['a', 'b', 'c'])
ser1
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# drop
ser1.drop('b')
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df1 = DataFrame(np.arange(9).reshape((3,3)), index=['SF','LA','NY'], columns=['Pop.', 'Size', 'Year'])
df1
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In [15]:
df1.drop('LA')
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df1
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In [18]:
# drop columns
df1.drop('Year', axis=1)
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