Python - Search DataFrame for a specific value with pandas

PythonServer Side ProgrammingProgramming

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
raja
Published on 21-Sep-2021 06:32:44
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