pandas.core.window.Rolling.min¶
Calculate the rolling minimum.
**kwargs Under Review. :return: Series or DataFrame
Returned object type is determined by the caller of the rolling calculation.
Examples¶
import pandas as pd
from numba import njit
@njit
def series_rolling_min():
series = pd.Series([4, 3, 5, 2, 6]) # Series of 4, 3, 5, 2, 6
out_series = series.rolling(3).min()
return out_series # Expect series of NaN, NaN, 3.0, 2.0, 2.0
print(series_rolling_min())
$ python ./series/rolling/series_rolling_min.py
0 NaN
1 NaN
2 3.0
3 2.0
4 2.0
dtype: float64
import pandas as pd
from numba import njit
@njit
def df_rolling_min():
df = pd.DataFrame({'A': [4, 3, 5, 2, 6], 'B': [-4, -3, -5, -2, -6]})
out_df = df.rolling(3).min()
# Expect DataFrame of
# {'A': [NaN, NaN, 3.0, 2.0, 2.0], 'B': [NaN, NaN, -5.0, -5.0, -6.0]}
return out_df
print(df_rolling_min())
$ python ./dataframe/rolling/dataframe_rolling_min.py
A B
0 NaN NaN
1 NaN NaN
2 3.0 -5.0
3 2.0 -5.0
4 2.0 -6.0
See also
- Series.rolling
Calling object with a Series.
- DataFrame.rolling
Calling object with a DataFrame.
- Series.min
Similar method for Series.
- DataFrame.min
Similar method for DataFrame.