Handling error "TypeError: Expected tuple, got str" loading a CSV to pandas multilevel and multiindex (pandas)

Question

我正在尝试加载 CSV 文件 (this file) 以创建多索引和多级数据框。它在列中有 5（五）个索引 和 3（三个）级别。

我该怎么办？这是代码：

df = pd.read_csv('./teste.csv'
                  ,index_col=[0,1,2,3,4]
                  ,header=[0,1,2,3]
                  ,skipinitialspace=True
                  ,tupleize_cols=True)

df.columns = pd.MultiIndex.from_tuples(df.columns)

预期输出：

variables                                                u                  \
level                                                    1                   
days                                                     1               2   
times                                                  00h 06h 12h 18h 00h   
wsid lat        lon        start               prcp_24                       
329  -43.969397 -19.883945 2007-03-18 10:00:00 72.0      0   0   0   0   0   
                           2007-03-20 10:00:00 104.4     0   0   0   0   0   
                           2007-10-18 23:00:00 92.8      0   0   0   0   0   
                           2007-12-21 00:00:00 60.4      0   0   0   0   0   
                           2008-01-19 18:00:00 53.0      0   0   0   0   0   
                           2008-04-05 01:00:00 80.8      0   0   0   0   0   
                           2008-10-31 17:00:00 101.8     0   0   0   0   0   
                           2008-11-01 04:00:00 82.0      0   0   0   0   0   
                           2008-12-29 00:00:00 57.8      0   0   0   0   0   
                           2009-03-28 10:00:00 72.4      0   0   0   0   0   
                           2009-10-07 02:00:00 57.8      0   0   0   0   0   
                           2009-10-08 00:00:00 83.8      0   0   0   0   0   
                           2009-11-28 16:00:00 84.4      0   0   0   0   0   
                           2009-12-18 04:00:00 51.8      0   0   0   0   0   
                           2009-12-28 00:00:00 96.4      0   0   0   0   0   
                           2010-01-06 05:00:00 74.2      0   0   0   0   0   
                           2011-12-18 00:00:00 113.6     0   0   0   0   0   
                           2011-12-19 00:00:00 90.6      0   0   0   0   0   
                           2012-11-15 07:00:00 85.8      0   0   0   0   0   
                           2013-10-17 00:00:00 52.4      0   0   0   0   0   
                           2014-04-01 22:00:00 72.0      0   0   0   0   0   
                           2014-10-20 06:00:00 56.6      0   0   0   0   0   
                           2014-12-13 09:00:00 104.4     0   0   0   0   0   
                           2015-02-09 00:00:00 62.0      0   0   0   0   0   
                           2015-02-16 19:00:00 56.8      0   0   0   0   0   
                           2015-05-06 17:00:00 50.8      0   0   0   0   0   
                           2016-02-26 00:00:00 52.2      0   0   0   0   0

我需要处理错误 "TypeError: Expected tuple, got str":

TypeError: Expected tuple, got str

Answer 1

您收到错误消息是因为您的某些列不是元组，它们是 df.columns 中从索引 2368 到 2959 的字符串。
列为字符串的索引：

df.columns[2368:2959]
Index(['('z', '1', '1', '00h').1', '('z', '1', '1', '06h').1',
       '('z', '1', '1', '12h').1', '('z', '1', '1', '18h').1',
       '('z', '1', '2', '00h').1', '('z', '1', '2', '06h').1',
       '('z', '1', '2', '12h').1', '('z', '1', '2', '18h').1',
       '('z', '1', '3', '00h').1', '('z', '1', '3', '06h').1',
       ...
       '('z', '1000', '2', '06h').1', '('z', '1000', '2', '12h').1',
       '('z', '1000', '2', '18h').1', '('z', '1000', '3', '00h').1',
       '('z', '1000', '3', '06h').1', '('z', '1000', '3', '12h').1',
       '('z', '1000', '3', '18h').1', '('z', '1000', '4', '00h').1',
       '('z', '1000', '4', '06h').1', '('z', '1000', '4', '12h').1'],
      dtype='object', length=591)

由于您想要使用元组的多索引列数据框，因此我们首先通过使用 re.findall 和 regex pattern = '(\(.*?\)).' 获取必要的子字符串来清理这些字符串，然后将此值传递给 ast.literal_eval 用于自动将字符串转换为元组。最后，使用 pd.MultiIndex.from_tuples 作为：

df = pd.read_csv('teste.csv',index_col=[0,1,2,3,4],header=[0,1,2,3],parse_dates=True)

import re
import ast

column_list = []
for column in df.columns:
    if isinstance(column,str):
        column_list.append(ast.literal_eval(re.findall('(\(.*?\)).',column)[0]))
    else:
        column_list.append(column)


df.columns = pd.MultiIndex.from_tuples(column_list,
                                       names=('variables', 'level','days','times'))

print(df.iloc[:,:6].head())
variables                                                u                    
level                                                    1                    
days                                                     1               2    
times                                                  00h 06h 12h 18h 00h 06h
wsid lat        lon        start               prcp_24                        
329  -43.969397 -19.883945 2007-03-18 10:00:00 72.0      0   0   0   0   0   0
                           2007-03-20 10:00:00 104.4     0   0   0   0   0   0
                           2007-10-18 23:00:00 92.8      0   0   0   0   0   0
                           2007-12-21 00:00:00 60.4      0   0   0   0   0   0
                           2008-01-19 18:00:00 53.0      0   0   0   0   0   0

Handling error "TypeError: Expected tuple, got str" loading a CSV to pandas multilevel and multiindex (pandas)

Handling error "TypeError: Expected tuple, got str" loading a CSV to pandas multilevel and multiindex (pandas)

python

csv

multi-level

pandas