Create Subset DataFrame Using Indexing Operator in Python Pandas

The indexing operator is the square brackets for creating a subset dataframe. Let us first create a Pandas DataFrame. We have 3 columns in the DataFrame

dataFrame = pd.DataFrame({"Product": ["SmartTV", "ChromeCast", "Speaker", "Earphone"],"Opening_Stock": [300, 700, 1200, 1500],"Closing_Stock": [200, 500, 1000, 900]})

Creating a subset with a single column

dataFrame[['Product']]

Creating a subset with multiple columns

dataFrame[['Opening_Stock','Closing_Stock']]

Example

Following is the complete code

import pandas as pd

dataFrame = pd.DataFrame({"Product": ["SmartTV", "ChromeCast", "Speaker", "Earphone"],"Opening_Stock": [300, 700, 1200, 1500],"Closing_Stock": [200, 500, 1000, 900]})

print"DataFrame...\n",dataFrame

print"\nDisplaying a subset using indexing operator:\n",dataFrame[['Product']]

print"\nDisplaying a subset with multiple columns:\n",dataFrame[['Opening_Stock','Closing_Stock']]

Output

This will produce the following output

DataFrame...
   Closing_Stock   Opening_Stock   Product
0          200             300     SmartTV
1          500             700     ChromeCast
2         1000            1200     Speaker
3          900            1500     Earphone

Displaying a subset using indexing operator:
       Product
0      SmartTV
1   ChromeCast
2      Speaker
3     Earphone

Displaying a subset with multiple columns:
   Opening_Stock   Closing_Stock
0          300             200
1          700             500
2         1200            1000
3         1500             900