我很感激您使用python 2.7，pandas 0.22和easygui 0.98.1在此问题上提供的任何帮助。
我试图将csv加载到pandas中，使用easygui从用户选择的列表中指定列名（我认为返回为字符串列表）并在数据帧的某列中搜索子字符串
import easygui as eg
import pandas as pd
# define vars_vars from choices of imagej outputs
vars_vars = eg.multchoicebox
(msg="\n\n\n\nPlease highlight variables included in ImageJ analysis:",
title="IF Analysis - 2017",
choices=["integrated density", "mean",
"mean grey value", "area fraction"])
# add required imagej columns for later processing
vars_vars.insert(0, "label")
vars_vars.insert(0, "#")
#User input for csv file
file = eg.fileopenbox()
# load into dataframe using pandas and assign columns using chosen variables
df = pd.read_csv(file, header=None, names=None)
df.columns = vars_vars
# Search 'label' column for certain substring
df[df['label'].str.contains('substring')]
但是我收到了这个错误：
Traceback (most recent call last):
File "C:/Users/User/.PyCharmCE2017.3/config/scratches/scratch.py", line 61, in <module>
df[df['label'].str.contains('nsv')]
File "C:\Users\User\Miniconda2\envs\test2\lib\site-packages\pandas\core\generic.py", line 3614, in __getattr__
return object.__getattribute__(self, name)
AttributeError: 'DataFrame' object has no attribute 'str'
我试过goolging它，发现了这些修复
df['label'] = df['label'].map(str)
df['label'] = df['label'].astype(str)
df['label'] = df['label'].astype(baseline)
以及我调用整个数据框而不是df [＆＃39;标签＆＃39;]的变体。
但是，这些都会导致该修复行传递后没有错误，但是当我执行.str.contains行时，它总是返回一个类似的错误，该行声明dataframe对象没有属性映射（对于.map（str）） ）或str（用于.astype（x））行。
print type(df['label'])
print df.dtypes
print df['label'].head()
print (df['label'].info())
print type(df['label'][0])
返回
<class 'pandas.core.frame.DataFrame'>
# int64
label object
integrated density int64
dtype: object
label
0 nc4_al1_I+pP_4x_contra_ctx_blue.tif
1 nc4_al1_I+pP_4x_contra_ctx_green.tif
2 nc4_al1_I1+pP_4x_contra_ctx_red.tif
3 nc4_al1_I+pP_4x_contra_hc_blue.tif
4 nc4_al1_I+pP_4x_contra_hc_green.tif
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 695 entries, 0 to 694
Data columns (total 1 columns):
(label,) 695 non-null object
dtypes: object(1)
memory usage: 5.5+ KB
None
Traceback (most recent call last):
File "C:/Users/Shon/.PyCharmCE2017.3/config/scratches/scratch.py", line 67, in <module>
print type(df['label'][0])
File "C:\Users\User\Miniconda2\envs\test2\lib\site-packages\pandas\core\frame.py", line 2137, in __getitem__
return self._getitem_multilevel(key)
File "C:\Users\User\Miniconda2\envs\test2\lib\site-packages\pandas\core\frame.py", line 2181, in _getitem_multilevel
loc = self.columns.get_loc(key)
File "C:\Users\User\Miniconda2\envs\test2\lib\site-packages\pandas\core\indexes\multi.py", line 2072, in get_loc
loc = self._get_level_indexer(key, level=0)
File "C:\Users\User\Miniconda2\envs\test2\lib\site-packages\pandas\core\indexes\multi.py", line 2362, in _get_level_indexer
loc = level_index.get_loc(key)
File "C:\Users\User\Miniconda2\envs\test2\lib\site-packages\pandas\core\indexes\base.py", line 2527, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas/_libs/index.pyx", line 117, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 139, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 1265, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 1273, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 0
我非常感谢你们提供的任何帮助。
更新：
原来问题是有多索引数据帧。
df.columns.map(''.join).str.strip()
导致在打印类型时将列更改为一系列，这使我能够正确地.str。包含数据。
答案 0 :(得分：0)
查看type(df['label']).info()的输出：
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 695 entries, 0 to 694
Data columns (total 1 columns):
(label,) 695 non-null object
dtypes: object(1) memory usage: 5.5+ KB None
看起来好像这个数据框中的列是一个带有空元素的元组，它表示第二级为空的多索引列标题。
我建议首先尝试修复pd.read_cv，以防止创建多索引。但是，使用：
df.columns = df.columns.map(''.join).str.strip()
将多索引列标题展平为单级列索引，并为df ['label']创建pd.Series数据类型，然后允许使用字符串访问器和contains。