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学ぶ Calculating Mean and Median Values with Python | Section
Statistics for Data Science with Python

Calculating Mean and Median Values with Python

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You're already familiar with the mean and median. Now it's time to calculate them using Python. Start by importing the numpy library using the np alias:

import numpy as np

Use the .mean() and .median() functions to compute the mean and median values. Here's a code example, feel free to modify the columns and observe the results:

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# Import library import numpy as np import pandas as pd df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a849660e-ddfa-4033-80a6-94a1b7772e23/update/ds_salaries_statistics', index_col = 0) # Calculate the mean value mean = np.mean(df['salary_in_usd']) # Calculate the median value median = np.median(df['salary_in_usd']) print('The mean value is', mean) print('The median value is', median)
question mark

Which functions can you use to calculate the mean and median values of a column in a pandas DataFrame using numpy?

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