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:
12345678910111213# 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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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:
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:
12345678910111213# 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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