1. Extract the statistical results of all numeric columns
df.describe()
2. Look at the mean value of a single Series, the maximum and minimum
df['Series'].mean()
df['Series'].max()
df['Series'].min()
3. The only deduplication
df['Series'].unique()
4. Count by value
df['Series'].value_counts()
5. Correlation coefficient and covariance
rating.corr()
rating[‘bWendu’].corr(rating[‘yWendu’])
rating.cov ()
rating ['bWendu']. cov (rating ['yWendu'])