To filter the rows and fetch specific column value, use the Pandas contains() method. At first, let us import the required library with alias −
import pandas as pd
Read the CSV file using the read_csv(). Our CSV file is on the Desktop −
dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\CarRecords.csv")
Now, let us filter the rows with specific text −
dataFrame = dataFrame[dataFrame['Car'].str.contains('Lamborghini')]
Example
Following is the code
import pandas as pd # reading csv file dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\CarRecords.csv") print("DataFrame...\n",dataFrame) # select rows containing text "Lamborghini" dataFrame = dataFrame[dataFrame['Car'].str.contains('Lamborghini')] print("\nFetching rows with text Lamborghini ...\n",dataFrame)
Output
This will produce the following output −
DataFrame... Car Place UnitsSold 0 Audi Bangalore 80 1 Porsche Mumbai 110 2 RollsRoyce Pune 100 3 BMW Delhi 95 4 Mercedes Hyderabad 80 5 Lamborghini Chandigarh 80 6 Audi Mumbai 100 7 Mercedes Pune 120 8 Lamborghini Delhi 100 Fetching rows with text Lamborghini ... Car Place UnitsSold 5 Lamborghini Chandigarh 80 8 Lamborghini Delhi 100