How to do statistics on a DataFrame

Pandas library provides a wide range of statistical methods that can be applied to a DataFrame.

Here are some common statistics you can perform on a DataFrame:

1. mean
2. median
3. mode
4. std
5. var
6. min, max
7. sum
8. count
9. describe

Mean

df.mean()

Median

df.median()

Mode

df.mode()

Standard Deviation

df.std()

Variance

df.var()

Minimum or Maximum

df.min()
df.max()

Sum

df.sum()

Count

df.count()

All at a time

df.describe()

You can also use more advanced statistical methods such as correlation, covariance, etc. using the .corr(), .cov() etc.

Note that these are just a few examples of the statistical methods available in Pandas. The library offers many more methods for performing more complex statistics on DataFrames.