Creating dataframe

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

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 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})

Pandas make new dataframe

df = pd.DataFrame({'column1':[1,2,3],'column2':[4,5,6])

How to create DataFrames

import pandas as pd
data = {
	"A":[1,2,3],
    "B":[4,5,6],
    "C":[7,8,9]
}
index = [1,2,3,4,5,6,7,8,9]

pd.DataFrame(data=data, index=index)

Creating dataframe

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

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