Question

我正在尝试将情绪从一个数据集映射到另一个数据集，并删除当前数据集中大于6的所有内容。我该如何解决这个错误？

import pandas as pd

csv_file = 'sample.csv'
count = 1
my_filtered_csv = pd.read_csv(csv_file, usecols=['subDirectory_filePath', 'expression'])
#my_filtered_csv['expression'] = my_filtered_csv['expression'].map({ '0':'6', '1':'3', '2':'4', '3':'5', '4':'2', '5':'1', '6':'0'})

df = pd.DataFrame(columns=['subDirectory_filePath', 'expression'])
print(my_filtered_csv.dtypes.index)
filtered_csv = my_filtered_csv[my_filtered_csv.expression <= 6 ]
for i in range(len(filtered_csv['expression'])):
    if filtered_csv['expression'][i]==0:
        filtered_csv['expression'][i] = 6
    elif filtered_csv['expression'][i]==1:
        filtered_csv['expression'][i] = 3
    elif filtered_csv['expression'][i]==2:
        filtered_csv['expression'][i] = 4
    elif filtered_csv['expression'][i]==3:
        filtered_csv['expression'][i] = 5
    elif filtered_csv['expression'][i]==4:
        filtered_csv['expression'][i] = 2
    elif filtered_csv['expression'][i]==5:
        filtered_csv['expression'][i] = 1
    elif filtered_csv['expression'][i]==6:
        filtered_csv['expression'][i] = 0

print(len(my_filtered_csv))
print('****')

for val in df['expression']:
    print(val)
emotion_map = { '0':'6', '1':'3', '2':'4', '3':'5', '4':'2', '5':'1', '6':'0'}
print(emotion_map)

for key, value in emotion_map.items():
    print(key,' : ', value)


   '''
affectnet

0: Neutral,
1: Happiness,
2: Sadness,
3: Surprise,
4: Fear,
5: Disgust,
6: Anger,
7: Contempt,
8: None,
9: Uncertain,
10: No-Face

FER13
 (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral).
 0-->6
 1-->3
 2-->4
 3-->5
 4-->2
 5-->1
 6-->0

'''

错误是：

Index(['subDirectory_filePath', 'expression'], dtype='object')
Traceback (most recent call last):
  File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/series.py", line 778, in _set_with_engine
    self.index._engine.set_value(values, key, value)
  File "pandas/_libs/index.pyx", line 116, in pandas._libs.index.IndexEngine.set_value
  File "pandas/_libs/index.pyx", line 124, in pandas._libs.index.IndexEngine.set_value
  File "pandas/_libs/index.pyx", line 154, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 1210, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 1218, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 0

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 2442, in get_loc
    return self._engine.get_loc(key)
  File "pandas/_libs/index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 154, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 1210, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 1218, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 0

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/series.py", line 719, in setitem
    self._set_with_engine(key, value)
  File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/series.py", line 781, in _set_with_engine
    values[self.index.get_loc(key)] = value
  File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 2444, in get_loc
    return self._engine.get_loc(self._maybe_cast_indexer(key))
  File "pandas/_libs/index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 154, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 1210, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 1218, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 0

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/mona/CS585/project/affnet/emotion_map.py", line 17, in <module>
    df['expression'][i] = 3
  File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/series.py", line 771, in __setitem__
    setitem(key, value)
  File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/series.py", line 728, in setitem
    values[key] = value
IndexError: index 0 is out of bounds for axis 0 with size 0

Process finished with exit code 1

cvs的几行是：

,subDirectory_filePath,expression
0,689/737db2483489148d783ef278f43f486c0a97e140fc4b6b61b84363ca.jpg,1
1,392/c4db2f9b7e4b422d14b6e038f0cdc3ecee239b55326e9181ee4520f9.jpg,0
2,468/21772b68dc8c2a11678c8739eca33adb6ccc658600e4da2224080603.jpg,0
3,944/06e9ae8d3b240eb68fa60534783eacafce2def60a86042f9b7d59544.jpg,1
4,993/02e06ee5521958b4042dd73abb444220609d96f57b1689abbe87c024.jpg,8

Answer 1

我认为此错误来自您的[i]表示法，它正在尝试查找不存在的DataFrame索引值0。尝试使用[i]替换.iloc[i]的每个实例。

此外，您应该能够使用更紧凑，可读且更不容易出错的代码替换for循环，尤其是因为您定义emotion_map但仅将其用于输出。尝试使用emotion_map = { 0:6, 1:3, 2:4, 3:5, 4:2, 5:1, 6:0}将字符串映射更改为整数，然后将其移至filtered_csv = ...下方，并将<{1}}循环替换为

for

Answer 2

Pandas Dataframe应该始终与iloc一起使用，因为它不支持索引为0。当只有单个元素时，我遇到了同样的问题，并且我试图通过添加前缀0来访问该单个元素……

Answer 3

简便的方法还可以将dataframe转换为numpy数组

df=np.array(df)

那么您可以毫无问题地使用for loop

Answer 4

在我的情况下，错误是因为我试图在 for 循环中创建系列。因此，这种情况的解决方案是在 for 循环外创建系列，然后按照我的意愿将其填充到 for 循环内

pandas._libs.hashtable.PyObjectHashTable.get_item KeyError：0

4 个答案: