我正在尝试加载一个CSV文件(此文件(来创建一个多索引e多级数据帧。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:预期元组，得到str"：
TypeError: Expected tuple, got str
您收到一个错误，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帧，因此我们首先清理这些字符串，方法是使用re.findall和regex pattern = '((.*?)).'获取必要的子字符串，然后通过ast.literal_eval传递该值，以便将字符串自动转换为元组。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