使用pandas to_csv仅引用必需的列 [英] Quote only the required columns using pandas to_csv
问题描述
我需要使用pandas to_csv函数生成一个csv.我尝试了quote = csv.QUOTE_NONNUMERIC.但是对于日期时间列之一,我不需要双引号.
I need to generate a csv using pandas to_csv function. I tried quote=csv.QUOTE_NONNUMERIC. But for one of the date time column I dont need double quotes.
有没有一种方法可以选择我们想要双引号的列?
Is there a way to select the columns for which we want double quotes?
推荐答案
谢谢.我得到了答案,所以只想分享一下.
Thanks people. I got the answer so just thought to share.
首先,我得到要引用的标头列表,并将其循环如下:
First I got the list of headers to be quoted and looped them something like below:
for col in quoteColumnsList:
df[col] = '"' + df[col] + '"'
这里我的quotechar是''.现在我使用了to_csv,并将quote参数设置为csv.QUOTE_NONE.这样,我们仅将双引号添加到所需的列上.
Here my quotechar is '"'. Now I used to_csv with quote parameter as csv.QUOTE_NONE. This way we get the double quotes only to the required columns.
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