pandas series contains
A short answer, but you can simply convert the series to set and then use the same methodology you used with the dictionary: df = pd.Series(data = [1, 2, 3], ... ,in of a Series checks whether the value is in the index: In [11]: s = pd.Series(list('abc')) In [12]: s Out[12]: 0 a 1 b 2 c dtype: object In [13]: 1 in s Out[13]: True In ... ,Check whether values are contained in Series. Return a boolean Series showing whether each element in the Series matches an element in the passed ... ,na : default NaN, fill value for missing values. regex : bool, default True. If True use re.search, otherwise use Python in operator. Returns: contained : Series/array ... ,,s1 = pd.Series(['Mouse', 'dog', 'house and parrot', '23', np.NaN]) >>> s1.str.contains('og', regex=False) 0 False 1 True 2 False 3 False 4 NaN dtype: object. ,Test if pattern or regex is contained within a string of a Series or Index. Return boolean Series or Index based on whether a given pattern or regex is contained ... , 注意，这个'|'是在引号内的，而不是将两个字符串分别引起来。'&'在这里不能用。 如果中间的.str不用的话，就会出错，提示'Series'数组没有'contains' ..., Use any >>> s = pd.Series([1,5,3,-1,7]) >>> any(s<0) True.
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 pandas series contains 相關參考資料
Check if a pandas series contains a set of variables: - Stack Overflow
A short answer, but you can simply convert the series to set and then use the same methodology you used with the dictionary: df = pd.Series(data = [1, 2, 3], ... https://stackoverflow.com How to determine whether a Pandas Column contains a particular ...
in of a Series checks whether the value is in the index: In [11]: s = pd.Series(list('abc')) In [12]: s Out[12]: 0 a 1 b 2 c dtype: object In [13]: 1 in s Out[13]: True In ... https://stackoverflow.com pandas.Series.isin — pandas 0.24.1 documentation
Check whether values are contained in Series. Return a boolean Series showing whether each element in the Series matches an element in the passed ... https://pandas.pydata.org pandas.Series.str.contains — pandas 0.17.0 documentation
na : default NaN, fill value for missing values. regex : bool, default True. If True use re.search, otherwise use Python in operator. Returns: contained : Series/array ... https://pandas.pydata.org pandas.Series.str.contains — pandas 0.22.0 documentation
https://pandas.pydata.org pandas.Series.str.contains — pandas 0.23.2 documentation
s1 = pd.Series(['Mouse', 'dog', 'house and parrot', '23', np.NaN]) >>> s1.str.contains('og', regex=False) 0 False 1 True 2 False 3 False 4 NaN dtype: o... https://pandas.pydata.org pandas.Series.str.contains — pandas 0.24.1 documentation
Test if pattern or regex is contained within a string of a Series or Index. Return boolean Series or Index based on whether a given pattern or regex is contained ... https://pandas.pydata.org Python3 pandas(3)筛选数据isin(), str.contains() - 知乎
注意，这个'|'是在引号内的，而不是将两个字符串分别引起来。'&'在这里不能用。 如果中间的.str不用的话，就会出错，提示'Series'数组没有'contains' ... https://zhuanlan.zhihu.com Quick way to check if the pandas series contains a negative value ...
Use any >>> s = pd.Series([1,5,3,-1,7]) >>> any(s<0) True. https://stackoverflow.com |