Python - Search DataFrame for a specific value with pandas

We can search DataFrame for a specific value. Use iloc to fetch the required value and display the entire row. At first, import the required library −

import pandas as pd

Create a DataFrame with 4 columns −

dataFrame = pd.DataFrame({"Car": ['BMW', 'Lexus', 'Tesla', 'Mustang', 'Mercedes', 'Jaguar'],"Cubic_Capacity": [2000, 1800, 1500, 2500, 2200, 3000],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000],"Units_Sold": [ 100, 120, 150, 110, 200, 250] })

Let’s search Car with Registeration Price 500 −

for i in range(len(dataFrame.Car)): if 5000 == dataFrame.Reg_Price[i]: indx = i

Now, display the found value −

dataFrame.iloc[indx] 

Example

Following is the code −

import pandas as pd # creating dataframe dataFrame = pd.DataFrame({"Car": ['BMW', 'Lexus', 'Tesla', 'Mustang', 'Mercedes', 'Jaguar'],"Cubic_Capacity": [2000, 1800, 1500, 2500, 2200, 3000],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000],"Units_Sold": [ 100, 120, 150, 110, 200, 250] }) print"DataFrame ...\n",dataFrame # search Car with Registeration Price 500 for i in range(len(dataFrame.Car)): if 5000 == dataFrame.Reg_Price[i]: indx = i # display the found value print"\nSearched DataFrame for the following specific value...\n",dataFrame.iloc[indx]

Output

This will produce the following output −

DataFrame ...         Car   Cubic_Capacity   Reg_Price   Units_Sold 0       BMW             2000        7000          100 1     Lexus             1800        1500          120 2     Tesla             1500        5000          150 3   Mustang             2500        8000          110 4  Mercedes             2200        9000          200 5    Jaguar             3000        6000          250 Searched DataFrame for the following specific value... Car             Tesla Cubic_Capacity 1500 Reg_Price 5000 Units_Sold 150 Name: 2, dtype: object