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I read a csv file and did some modification of the data repeatedly. And I tried to save the csv with the file name "naver_news_YYYY_MM_DD_HH_MM.csv. However, If I run this program repeatedly, but I can find only last csv file with "naver_news.csv".

This is the code as followed.

df.to_csv("C:/Users/Administrator/PycharmProjects/news/naver_news.csv", date_format='%Y-%m-%d', index = False, sep=',', encoding='ms949') 

Then I can only find one "naver_news.csv" file in my computer. The result file nave that I am expecting is as followed.

naver_news_2018_09_17_10_42.csv naver_news_2018_09_17_11_42.csv naver_news_2018_09_17_12_42.csv naver_news_2018_09_17_13_42.csv 

Please let me know to save csv file with current current time.

3 Answers 3

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You'll need to insert the timestamp label into the filename yourself.

ts = pd.to_datetime('today').strftime('%Y_%m_%d_%H_%M') filename = f"C:/Users/Administrator/PycharmProjects/news/naver_news_{ts}.csv" # filename = "C:/Users/Administrator/PycharmProjects/news/naver_news_{}.csv".format(ts) df.to_csv(filename, index=False, encoding='ms949') 
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1 Comment

Thank for your help. I works well. I really appreciate your help.
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You can create a function to get timestamp whenever you want,

from datetime import datetime def get_date_time(fmt='%Y_%m_%d_%H_%M_%S'): date_stamp = datetime.now().strftime(fmt) print("%s " % date_stamp) return date_stamp file_name = "C:/Users/Administrator/PycharmProjects/news/naver_news_{}.csv".format(get_date_time()) print(file_name) 

Comments

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According to pandas.DataFrame.to_csv documentation, date_format affects only the Format string for datetime object inside the dataframe, not the filename, but you can use something like:

from datetime import datetime fn = "C:/Users/Administrator/PycharmProjects/news/naver_news_{}.csv".format(format(datetime.now(), '%Y_%m_%d_%H_%M')) df.to_csv(fn, index = False, sep=',', encoding='ms949') 

1 Comment

Thanks for your comment. I need to erase it. But do you have any idea to make the filename like "filenave_YYYY_MM_DD_HH_MM.csv"?

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