how to create dataframe in python code example

Example 1: dataframe create

>>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
...                    columns=['a', 'b', 'c'])
>>> df2
   a  b  c
0  1  2  3
1  4  5  6
2  7  8  9

Example 2: create dataframe with column names pandas

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: []

Example 3: create a df in pandas

import pandas as pd

data = {'First Column Name':  ['First value', 'Second value',...],
        'Second Column Name': ['First value', 'Second value',...],
         ....
        }

df = pd.DataFrame (data, columns = ['First Column Name','Second Column Name',...])
print (df)

Example 4: how to create dataframe in python

import pandas as pd
  
# intialise data of lists.
data = {'Name':['Tom', 'nick', 'krish', 'jack'],
        'Age':[20, 21, 19, 18]}
  
# Create DataFrame
df = pd.DataFrame(data)
  
# Print the output.
df

Example 5: how do we create a dataframe in python

# Import pandas library 
import pandas as pd 
  
# initialize list of lists 
data = [['Group A', 85], ['Group B', 92], ['Group C', 88]] 
  
# Create the pandas DataFrame 
df = pd.DataFrame(data, columns = ['Name', 'Score']) 
  
# print dataframe. 
df

Example 6: create a dataframe python

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