create an empty dataframe

df = pd.DataFrame(columns=['a', 'b', 'c'])

import pandas as pd
df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])

# Check for an empty dataframe using pandas:
data = {'num': [1,'Nan',3,4,'NaN']}
df = pd.DataFrame(data)

'''
True: the DataFrame is empty
False: the DataFrame contains values
'''

df.empty  

import pandas as pd

data = [[0, 0, 0] , [1, 1, 1]]
columns = ['A', 'B', 'C']
df = pd.DataFrame(data, columns=columns)