Summary
Demonstrates how to calculate the mean and median of numerical data using numpy functions and printing the results.

General domain of usage
Data analysis

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
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:

# 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)

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

Learn core statistical concepts used in data analysis with Python. The course covers descriptive statistics, including mean, median, mode, variance, and standard deviation, as well as sampling, probability distributions, the Central Limit Theorem, and outlier detection.

Calculating Mean and Median Values with Python