我在pandas数据帧中有一列string对象。我想将它们更改为一种效率较低的固定宽度字符串类型。有许多SO answers (How to set dtypes by column in pandas DataFrame)详细介绍了如何对数值类型执行此操作: import pandas as pdimport numpy as np
df = pd.Series(["1", "22", "333", "4444&q
下面几行代码会产生一些错误,我不知道错误消息的真正含义:if client_id and client_secret: config.sh_client_secret = client_secret print("Warning! To use Sentinel Hub services, please
我有一个简单的代码,它接受三个数据帧(Pandas库),并将'PROLIFIC_PID‘列的值指定为该数据帧的索引 def pid_set(a, b, c): #accepts three dataframesname with PID as index b = b.set_index('PROLIFIC_PID')
c= c