导入模块: from pandas import DataFrame import pandas as pd import numpy as np 生成DataFrame数据 df = DataFrame(np.random.randn(4, 5), columns=['A', 'B', 'C', 'D', 'E']) DataFrame数据预览: A B C D E 0 0.673092 0.230338 -0.171681 0.312303 -0.184813 1 -0.504482 -0.
import numpy as np import pandas as pd This section will walk you(引导你) through the fundamental(基本的) mechanics(方法) of interacting(交互) with the data contained in a Series or DataFrame. -> (引导你去了解基本的数据交互, 通过Series, DataFrame). In the chapters to come, w
在SQL语言中去重是一件相当简单的事情,面对一个表(也可以称之为DataFrame)我们对数据进行去重只需要GROUP BY 就好. select custId,applyNo from tmp.online_service_startloan group by custId,applyNo 1.DataFrame去重 但是对于pandas的DataFrame格式就比较麻烦,我看了其他博客优化了如下三种方案. 我们先引入数据集: import pandas as pd data=pd.read_
1.创建 1.1 标准格式创建 DataFrame创建方法有很多,常用基本格式是:DataFrame 构造器参数:DataFrame(data=[],index=[],coloumns=[]) In [272]: df2=DataFrame(np.arange(16).reshape((4,4)),index=['a','b','c','d'],columns=['one','two','three','four']) In [273]: df2 Out[273]: one two three