Calculating Mean and Median Values with Python

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:

python

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)

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Learning Statistics with Python

1. Basic Concepts

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2. Mean, Median and Mode with Python

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3. Variance and Standard Deviation

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4. Covariance vs Correlation

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5. Confidence Interval

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