pandas.cut
pandas.cut(x, bins, right: bool = True, labels=None, retbins: bool = False, precision: int = 3, include_lowest: bool = False, duplicates: str = 'raise')
Use cut when you need to segment and sort data values into bins. This function is also useful for going from a continuous variable to a categorical variable. For example, cut could convert ages to groups of age ranges. Supports binning into an equal number of bins, or a pre-specified array of bins.
这个函数用来对数据进行分割，比如在做直方图的时候，就可以使用
最基本的参数一个是x，一个是要分割的份数
rs = pd.cut(np.array([1, 7, 5, 4, 6, 3]), 3)
我们传入一组数据，然后分成3份，返回的结果就是区间
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