pandas groupby如何计算范围内的计数

We can use pd.cut to bin the values into ranges, then we can groupby these ranges, and finally call count to count the values now binned into these ranges:In [82]:df = pd.DataFrame({"a": np.random.random_integers(0, high=100, size=100)})ranges = [0,10,20,30,40,50,60,70,80,90,100]df.groupby(pd.cut(df.a, ranges)).count()Out[82]: aa (0, 10] 10(10, 20] 6(20, 30] 12(30, 40] 9(40, 50] 11(50, 60] 12(60, 70] 9(70, 80] 13(80, 90] 9(90, 100] 9 这篇关于 pandas groupby如何计算范围内的计数的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！