Python Pandas - Query the columns of a DataFrame

To query the columns of a Pandas DataFrame, use the query(). We are querying to filter records. At first, let us create a Pandas DataFrame

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

Using query() to query columns with conditions −

print(dataFrame.query('Opening_Stock >=500 & Closing_Stock < 1000 & Product.str.startswith("P").values'))

Example

Following is the complete code −

import pandas as pd

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

print"DataFrame...\n",dataFrame

# using query() to query columns
print"\nQuerying columns to filter records...\n"
print(dataFrame.query('Opening_Stock >=500 & Closing_Stock < 1000 & Product.str.startswith("P").values'))

Output

This will produce the following output −

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

Querying columns to filter records...

    Closing_Stock   Opening_Stock   Product
1       500                 700     PenDrive