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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 = iNow, 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
Updated on: 21-Sep-2021
1K+ Views
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