pandas库的常用操作，参考书籍《Pandas Cookbook》，内容干货，推荐下载！movie get_dtype_counts# output the number of columns with each specific data type: movie. select_dtypes(include['int ]).head(# select only integer columns movie. filter(1ike=' facebook').head()#1ike参数表示包含此

今天小编就为大家分享一篇pandas 将索引值相加的方法，具有很好的参考价值，希望对大家有所帮助。一起跟随小编过来看看吧

如下所示： s1 = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd']) s2 = pd.Series([10, 20, 30, 40], index=['a', 'b', 'c', 'd']) print s1 + s2 a 11 b 22 c 33 d 44 dtype: int64 s1 = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd']) s2 = pd.Seri