Creating an empty Pandas DataFrame

Create an empty DataFrame :

 
import pandas as pd
import numpy as np
df = pd.DataFrame()
print(df)

 
Empty DataFrame
Columns: []
Index: []

Add columns to an empty DataFrame

 
import pandas as pd
import numpy as np
df = pd.DataFrame()
df['Name'] = ['John', 'Doe', 'Bill']
df['Promoted'] = [True, False,True]
df['Marks'] = [82, 38, 63]
print(df)

 
   Name  Promoted  Marks
0  John      True     82
1   Doe     False     38
2  Bill      True     63

Method 2

Initialize empty frame with column names

 
import pandas as pd
import numpy as np
col_names =  ['Name', 'Promoted', 'Marks']
df  = pd.DataFrame(columns = col_names)
df

 
Empty DataFrame
Columns: [Name, Promoted, Marks]
Index: []

Add a new record to a dataframe

 
import pandas as pd
import numpy as np
col_names =  ['Name', 'Promoted', 'Marks']
df  = pd.DataFrame(columns = col_names)
df.loc[len(df)] = ['John', True, 80]
df

 
   Name Promoted Marks
0  John     True    80

Using Dictionary to add data in a dataframe

 
import pandas as pd
import numpy as np
col_names =  ['Name', 'Promoted', 'Marks']
df  = pd.DataFrame(columns = col_names)
my_dic = {'Name':'John', 'Promoted':True, 'Marks':80}
df.loc[len(df)] = my_dic
df

 
   Name Promoted Marks
0  John     True    80

how to Creating an empty Pandas DataFrame

Using append() method to add data

 
import pandas as pd
import numpy as np
df = pd.DataFrame()
data = pd.DataFrame({"A": range(5)})
df.append(data)

Create pandas Dataframe by appending one row at a time

In this case, you can use DataFrame.loc[index] , where the row with index will be what you specify it to be in the dataframe.

 
import pandas as pd
from numpy.random import randint
df = pd.DataFrame(columns=['Student', 'Mark1', 'Mark2'])
for i in range(5):
    df.loc[i] = ['Student-' + str(i)] + list(randint(10, size=2))
df

 
     Student Mark1 Mark2
0  Student-0     3     7
1  Student-1     4     2
2  Student-2     4     6
3  Student-3     3     0
4  Student-4     1     6

Next : How to Check if a Pandas DataFrame is Empty