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熊猫错误地读取 csv

[英]Pandas wrongfully reading csv

I have a very easy question: I try to read following data into an Dataframe https://www.ecdc.europa.eu/en/publications-data/download-data-response-measures-covid-19我有一个非常简单的问题:我尝试将以下数据读入 Dataframe https://www.ecdc.europa.eu/en/publications-data/download-data-response-measures-covid-19

If I use folllowing code, the output is not in the format I expect it to be as the CSV is not "seperated":如果我使用以下代码,输出的格式不是我期望的格式,因为 CSV 没有“分离”:

dmeasures = pd.read_csv('file.csv',sep=",",header=0,)
print (dmeasures)

Any ideas where my mistake is with the seperator?我的错误与分隔符有关的任何想法?

You can read CSV directly from URL:您可以直接从 URL 读取 CSV:

url = 'https://www.ecdc.europa.eu/sites/default/files/documents/Data_response_graphs_2020-10-21.csv'
dmeasures = pd.read_csv(url, sep=",")
print(dmeasures)

Prints:印刷:

            Country            Response_measure  date_start    date_end
0           Austria                 ClosDaycare  2020-03-16  2020-05-04
1           Austria                    ClosHigh  2020-03-16  2020-09-30
2           Austria                    ClosPrim  2020-03-16  2020-05-18
3           Austria                  ClosPubAny  2020-03-16  2020-04-13
4           Austria           ClosPubAnyPartial  2020-04-14         NaN
..              ...                         ...         ...         ...
460  United Kingdom        StayHomeOrderPartial  2020-05-10  2020-07-04
461  United Kingdom               StayHomeRiskG  2020-03-16  2020-07-05
462  United Kingdom        StayHomeRiskGPartial  2020-07-06  2020-08-01
463  United Kingdom         TeleworkingClosures  2020-03-16  2020-05-09
464  United Kingdom  TeleworkingClosuresPartial  2020-05-10         NaN

[465 rows x 4 columns]

url = 'https://www.ecdc.europa.eu/sites/default/files/documents/Data_response_graphs_2020-10-21.csv' url = 'https://www.ecdc.europa.eu/sites/default/files/documents/Data_response_graphs_2020-10-21.csv'

pd.read_csv(url, sep = ",", header = True) pd.read_csv(url, sep = ",", header = True)

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