# pandas.Series.cov¶

Compute covariance with Series, excluding missing values.

- param other
- Series
Series with which to compute the covariance.

- param min_periods
- int, optional
Minimum number of observations needed to have a valid result.

- return
float Covariance between Series and other normalized by N-1 (unbiased estimator).

## Examples¶

```
import numpy as np
import pandas as pd
from numba import njit
@njit
def series_cov():
s1 = pd.Series([3.2, -10, np.nan, 0.23, 9.2])
s2 = pd.Series([5., 0, 3.3, np.nan, 9.2])
return s1.cov(s2) # Expect value: 44.639...
print(series_cov())
```

```
$ python ./series/series_cov.py
44.63999999999999
```

See also

- Series.corr
Compute correlation with other Series, excluding missing values.