Pandas DataFrame

DATAFRAME:

• DataFrame is a two-dimensional array. 
• It's like a table with rows and columns.

WAYS TO CREATE A DATAFRAME:

• DataFrame using list
• DataFrame using dictionary
• DataFrame using series

DATAFRAME USING LIST:

    Creating a dataframe with the list values.

    Example 1: 

import pandas as pd 

list_data = ['pandas', 'numpy', 'pytest', 'pywin32']

result = pd.DataFrame(list_data)

print(result)

      

     Example 2: 

import pandas as pd 

list_data = [['Vetri',20],['Vishal',21],['Jack',18]]

result = pd.DataFrame(list_data, columns=['Name', 'Age'])

print(result)

      

DATAFRAME USING DICT OF ARRAY/LIST:

    Creating a dataframe with the dict of array/list values.

    Example: 

  

import pandas as pd 

data = {'Name': ['Vetri', 'Vishal', 'Jack', 'Ram'],
             'Age': [20,21,19,18]}

df = pd.DataFrame(data)

print(df)

      

DATAFRAME USING DICT OF SERIES:

    Creating a dataframe with the dict of series data.

    Example: 

  

import pandas as pd 

data = {'Name': pd.Series(['Vetri', 'Vishal', 'Jack', 'Ram'], index=['a', 'b', 'c', 'd']), 
             'Age': pd.Series([20,21,19], index=['a', 'b','c'])}

df = pd.DataFrame(data)

print(df)

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