create a dataframe python

1>>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
2...                    columns=['a', 'b', 'c'])
3>>> df2
4   a  b  c
50  1  2  3
61  4  5  6
72  7  8  9
8

1import pandas as pd
2
3data = {'First Column Name':  ['First value', 'Second value',...],
4        'Second Column Name': ['First value', 'Second value',...],
5         ....
6        }
7
8df = pd.DataFrame (data, columns = ['First Column Name','Second Column Name',...])
9print (df)

1d = {'col1': [1, 2], 'col2': [3, 4]}
2df = pd.DataFrame(data=d)
3df
4

1# Import pandas library 
2import pandas as pd 
3  
4# initialize list of lists 
5data = [['Group A', 85], ['Group B', 92], ['Group C', 88]] 
6  
7# Create the pandas DataFrame 
8df = pd.DataFrame(data, columns = ['Name', 'Score']) 
9  
10# print dataframe. 
11df 

1import numpy as np
2import pandas as pd
3vect1=np.zeros(10)
4vect2=np.ones(10)
5df=pd.DataFrame({'col1':vect1,'col2':vect2})

1import pandas as pd
2import numpy as np
3df = pd.DataFrame(np.array([[1, 2, 3, 5], [4, 5, 6, 7], [7, 8, 9, 1]]), 
4                  columns=['a', 'b', 'c', 'd'])