pandas.Series.nsmallest¶
Return the smallest n elements.
- param n
- int, default 5
Return this many ascending sorted values.
- param keep
- {‘first’, ‘last’, ‘all’}, default ‘first’
When there are duplicate values that cannot all fit in a Series of n elements:
first
return the first n occurrences in orderof appearance.
last
return the last n occurrences in reverseorder of appearance.
all
keep all occurrences. This can result in a Series ofsize larger than n.
- return
Series The n smallest values in the Series, sorted in increasing order.
Limitations¶
Parameter
keep
is supported only with default value'first'
.- This function may reveal slower performance than Pandas* on user system. Users should exercise a tradeoff
between staying in JIT-region with that function or going back to interpreter mode.
Examples¶
import numpy as np
import pandas as pd
from numba import njit
@njit
def series_nsmallest():
series = pd.Series(np.arange(10))
return series.nsmallest(4) # Expect series of 0, 1, 2, 3
print(series_nsmallest())
$ python ./series/series_nsmallest.py
0 0
1 1
2 2
3 3
dtype: int64
See also
- Series.nlargest
Get the n largest elements.
- Series.sort_values
Sort Series by values.
- Series.head
Return the first n rows.