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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Sezione 2. Capitolo 2

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Contenuti del Corso

Learning Statistics with Python

1. Basic Concepts

Sample vs Population Types of Statistics Types of Data Mean Value Median Value Median Value of the Even Number of Values Mean or Median Mode Value Descriptive Statistics Quiz

2. Mean, Median and Mode with Python

Examine the Dataset Calculating Mean and Median Values with Python Statistics with pandas Calculate the Mean and Median Salary

3. Variance and Standard Deviation

Population Variance Sample Variance Calculate Variance with Python Standard Deviation Standard Deviation with Python Calculating Variance and Standard Deviation

4. Covariance vs Correlation

Covariance Correlation Covariance and Correlation Quiz Calculate Covariance and Correlation

5. Confidence Interval

6. Statistical Testing

What is t-test Hypotheses t-test Mathematically One-Tailed And Two-Tailed Test t-test Assumptions Performing a t-test in Python Conduct a t-test Paired t-test