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pandas read_csv 尝试读取 csv 时失败

[英]pandas read_csv fails when trying to read csv

所以当我试图阅读印度尼西亚出生时的预期寿命时( https://data.worldbank.org/indicator/SP.DYN.LE00.IN?locations=ID如果您想查看,这是链接)我可以`t,这是我的代码

import pandas as pd
import matplotlib.pyplot as plt

lifeexpectacion = pd.read_csv("API_SP.DYN.LE00.IN_DS2_en_csv_v2_4770434.csv")
print(lifeexpectacion)

错误是

 File "D:\programaizar\data economy\main.py", line 4, in <module>
lifeexpectacion = pd.read_csv("API_SP.DYN.LE00.IN_DS2_en_csv_v2_4770434.csv")

CSV 的前 4 行包含标题、上次更新日期等信息。您需要跳过数据文件的前 4 行。 使用pd.read_csv("API_SP.DYN.LE00.IN_DS2_en_csv_v2_4770434.csv", skiprows=4)

我下载了链接文件,看看是否可以重现错误。 这篇文章有类似的问题。

csv 的前四行是:

"Data Source","World Development Indicators",

"Last Updated Date","2022-12-22",

如果删除这些行,它会按预期工作。 元数据让 pandas 误以为只有两列,而实际上是六十七列。

为我工作

df = pd.read_csv(r'D:\temp\API_SP.DYN.LE00.IN_DS2_en_csv_v2_4770434.csv',skiprows=4)
    df
    Out[149]: 
                        Country Name Country Code  ... 2021 Unnamed: 66
    0                          Aruba          ABW  ...  NaN         NaN
    1    Africa Eastern and Southern          AFE  ...  NaN         NaN
    2                    Afghanistan          AFG  ...  NaN         NaN
    3     Africa Western and Central          AFW  ...  NaN         NaN
    4                         Angola          AGO  ...  NaN         NaN
    ..                           ...          ...  ...  ...         ...
    261                       Kosovo          XKX  ...  NaN         NaN
    262                  Yemen, Rep.          YEM  ...  NaN         NaN
    263                 South Africa          ZAF  ...  NaN         NaN
    264                       Zambia          ZMB  ...  NaN         NaN
    265                     Zimbabwe          ZWE  ...  NaN         NaN
    [266 rows x 67 columns]

df.columns
Out[150]: 
Index(['Country Name', 'Country Code', 'Indicator Name', 'Indicator Code',
       '1960', '1961', '1962', '1963', '1964', '1965', '1966', '1967', '1968',
       '1969', '1970', '1971', '1972', '1973', '1974', '1975', '1976', '1977',
       '1978', '1979', '1980', '1981', '1982', '1983', '1984', '1985', '1986',
       '1987', '1988', '1989', '1990', '1991', '1992', '1993', '1994', '1995',
       '1996', '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004',
       '2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013',
       '2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021',
       'Unnamed: 66'],
      dtype='object')

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