find the data with the most deaths in python

Assuming the data is in a pandas dataframe, you can find the row(s) with the highest number of deaths using the following code:

main.py
import pandas as pd
import numpy as np

# reading the csv file in a pandas dataframe
df = pd.read_csv('file_name.csv')

# get the max value of deaths
max_deaths = df['deaths'].max()

# get all rows that have the max deaths value
max_deaths_rows = df.loc[df['deaths'] == max_deaths]

# print the rows
print(max_deaths_rows)

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This will output the row(s) where the deaths column has the highest value in the dataframe. If you want to retrieve only the index or a specific column, you can modify the code accordingly.

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related categories

pandas
numpy

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