python如何选择最小值_python – 从pandas.Series中选择本地最小值和最大值

有scipy.signal.argrelextrema函数可以与ndarray一起使用,但是当我尝试在pandas.Series上使用它时,它会返回一个错误.与pandas一起使用它的正确方法是什么？

import numpy as np

import pandas as pd

from scipy.signal import argrelextrema

s = pd.Series(randn(10), range(10))

s

argrelextrema(s, np.greater)

---------------------------------------------------------------------------

TypeError Traceback (most recent call last)

in ()

4 s = pd.Series(randn(10), range(10))

5 s

----> 6 argrelextrema(s, np.greater)

/usr/lib/python2.7/dist-packages/scipy/signal/_peak_finding.pyc in argrelextrema(data, comparator, axis, order, mode)

222 """

223 results = _boolrelextrema(data, comparator,

--> 224 axis, order, mode)

225 return np.where(results)

226

/usr/lib/python2.7/dist-packages/scipy/signal/_peak_finding.pyc in _boolrelextrema(data, comparator, axis, order, mode)

60

61 results = np.ones(data.shape, dtype=bool)

---> 62 main = data.take(locs, axis=axis, mode=mode)

63 for shift in xrange(1, order + 1):

64 plus = data.take(locs + shift, axis=axis, mode=mode)

TypeError: take() got an unexpected keyword argument 'mode'