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how to create dataframe in python Code Example
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
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: []
Source: stackoverflow.com
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
Source: pandas.pydata.org
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})
create a dataframe python 
import pandas as pd
import numpy as np
df = pd.DataFrame(np.array([[1, 2, 3, 5], [4, 5, 6, 7], [7, 8, 9, 1]]), 
                  columns=['a', 'b', 'c', 'd'])
pandas make new dataframe 
df = pd.DataFrame({'column1':[1,2,3],'column2':[4,5,6])



Python

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