[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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