import numpy as np

import pandas as pd

from numpy.random import rand

np.random.seed(101)

#creating an column pandas DataFrame using an numpy array.

print('pandas DataFrame')

df=pd.DataFrame(rand(5,4),['A','B','C','D','E'],['W','X','Y','Z'])

print(df)

#adding row in to pandas.DataFrame

df.loc['F']=[0.2345,0.4567,0.6789,0.7890]

print(df)

#adding row in to pandas.DataFrame with same elemet

df.loc['G']='12345'

#droping row from pandas DataFrame

print('\nDrop row from DataFrame')

df.drop('G',axis=0)

print(df)

print('\nDrop row from DataFrame with explicitly specify to delete')

df.drop('G',axis=0,inplace=True)

print(df)