How to find the largest value in a Pandas DataFrame?

How to find the largest value in a Pandas DataFrame?

How to find the largest value in a Pandas DataFrame?

This recipe helps you find the largest value in a Pandas DataFrame

Recipe Objective

While working on a dataset we sometimes need to search for largest or lowest value in a feature. Manually it might be not possible to do it when there are many rows.

This data science python source code does the following:
1.Imports necesary libraries.
2. Creates data dictionary and converts it into pandas dataframe.
3. Finds out the maximum and minimum vales of desired columns.

So this is the recipe on how we search largest or lowest value in a feature using python.

Step 1 - Import the library

import pandas as pd

We have only imported pandas which is needed.

Step 2 - Setting up the Data

We have created a dictionary of data and passed it in pd.DataFrame to make a dataframe with columns 'first_name', 'last_name', 'age', 'Comedy_Score' and 'Rating_Score'. raw_data = {'first_name': ['Sheldon', 'Raj', 'Leonard', 'Howard', 'Amy'], 'last_name': ['Copper', 'Koothrappali', 'Hofstadter', 'Wolowitz', 'Fowler'], 'age': [42, 38, 36, 41, 35], 'Comedy_Score': [9, 7, 8, 8, 5], 'Rating_Score': [25, 25, 49, 62, 70]} df = pd.DataFrame(raw_data, columns = ['first_name', 'last_name', 'age', 'Comedy_Score', 'Rating_Score']) print(df)

Step 3 - Searching the values

We can get the index of largest value by using the function idxmax and lowest value by idxmin. We are using the print statements to print the output. print("Index of largest value: "); print(df['Rating_Score'].idxmax()) print("Index of lowest value: "); print(df['Rating_Score'].idxmin()) So the output comes as

  first_name     last_name  age  Comedy_Score  Rating_Score
0    Sheldon        Copper   42             9            25
1        Raj  Koothrappali   38             7            25
2    Leonard    Hofstadter   36             8            49
3     Howard      Wolowitz   41             8            62
4        Amy        Fowler   35             5            70

Index of highest value: 
Index of lowest value: 

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