basicstats-pandas.tex

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Stats

Pandas provides nifty methods to understand your data. I am highlighting the describe, correlation, covariance, and correlation methods that I use to quickly make sense of my data.

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describe

The describe method provides quick stats on all suitable columns.

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df.describe()

            col1      col2
count    4.00000  5.000000
mean     2.65000  3.200000
std      4.96689  3.701351
min      0.10000 -1.000000
25%      0.17500  1.000000
50%      0.20000  2.000000
75%      2.67500  6.000000
max     10.10000  8.000000

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covariance

The cov method provides the covariance between suitable columns.


df.cov()

             col1       col2
col1    24.670000  12.483333
col2    12.483333  13.700000

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correlation

The corr method provides the correlation between suitable columns.

df.corr()
  
             col1       col2
col1     1.000000   0.760678
col2     0.760678   1.000000

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