none
# delete 10th, 11th, and 15th row of df, axis = 0 signify rows, inplace=True means changes directly going to apply to df.
df.drop(labels=[10, 11, 15], axis=0, inplace=True)
# or
df = df.drop(labels=10, axis=0)
none
# delete 10th, 11th, and 15th row of df, axis = 0 signify rows, inplace=True means changes directly going to apply to df.
df.drop(labels=[10, 11, 15], axis=0, inplace=True)
# or
df = df.drop(labels=10, axis=0)
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