Answers for "dataframe creation in python"

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

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

creata daframe python

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

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

Different ways to create Pandas Dataframe

# Import pandas library
import pandas as pd
 
# initialize list of lists
data = [['tom', 10], ['nick', 15], ['juli', 14]]
 
# Create the pandas DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age'])
 
# print dataframe.
df

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)