Conteúdo do Curso
Learning Statistics with Python
Learning Statistics with Python
2. Mean, Median and Mode with Python
4. Covariance vs Correlation
Statistics with pandas
The Pandas library already has three built-in functions for calculating the mean and median. To import Pandas, use the following syntax:
Here's an example of calculating the mean and median for the 'work_year' column in the dataset named df.
Feel free to change the columns and observe the results:
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) # Calculating the mean value mean = df['work_year'].mean() # Calculating the median value median = df['work_year'].median() print('The mean value is', mean) print('The median value is', median)
You see, to calculate all the important statistical values, we need to apply methods that handle the measurements:
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Seção 2. Capítulo 3
