Calculating Common Statistics From a Pandas DataFrame Column
Python
Statistics & Probability
1| # sum 2| sum = df['col_A'].sum() 3| 4| # mean 5| mean = df['col_A'].mean() 6| 7| # count 8| count = df['col_A'].count() 9| 10| # minimum 11| min = df['col_A'].min() 12| 13| # maximum 14| max = df['col_A'].max() 15| 16| # median 17| median = df['col_A'].median() 18| 19| # standard deviation 20| standard_deviation = df['col_A'].std() 21| 22| # variance 23| variance = df['col_A'].var()
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Calculating the Distance Between Two Vectors With Numpy
Python
Statistics & Probability
2
1
Stratified Sampling with Pandas: How to Create a Representative Sample by Category
Python
Statistics & Probability
1
1
1