In [4]: import pandas as pd
In [5]: df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])
In [6]: df
Out[6]:
Empty DataFrame
Columns: [A, B, C, D, E, F, G]
Index: []
# adding column name to the respective columns
df.columns =['Name', 'Code', 'Age', 'Weight']
# displaying the DataFrame
print(df)
In [4]: import pandas as pd
In [5]: df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])
In [6]: df
Out[6]:
Empty DataFrame
Columns: [A, B, C, D, E, F, G]
Index: []
# adding column name to the respective columns
df.columns =['Name', 'Code', 'Age', 'Weight']
# displaying the DataFrame
print(df)