转换图像文件时如何避免 Jupyter 中的归因错误？

Question

我遇到的问题是我的代码一直在我的 Jupyter Notebook 中抛出 AttributionError，即使我什至没有调用指定为错误的函数。我的python代码如下：

 import numpy as np
 import matplotlib
 matplotlib.use('nbagg')
 import matplotlib.pyplot as plt
 import seaborn as sns
 import pandas as pd 
 import os
 from PIL import Image

cube_features = []
 for cube in cubes:
df_cube = pd.read_csv(cube_base + 'props_cube{}.csv'.format(cube),
                        names=['cube', 'phi_x', 'phi_y', 'fir_x', 'fir_y', 'bush_x', 'bush_y', 'sun_x', 'sun_y', 'poplar_x', 'poplar_y', 'img_path'])
area_features = [] 
for area in areas:
    if area == 'Moc':
        features = []
        for row in df_cube['img_path']:
            image = Image.open(row).convert('RGB')
            features.append(np.array(image).flatten())
        features = np.array(features)
    else:
        features_dict = np.atleast_1d(np.load('/Users/tol/Features/CORnetZ/cube{}_CORnet-Z_{}_output_feats.npy'.format(cube, area), allow_pickle=True))[0]
        if not all(np.array(features_dict['fnames']) == df_cube['img_path'].values): 
            raise ValueError('My Error')
        features = features_dict['model_feats']
    print('Cube {}, Area {} - Representation size {}'.format(cube, area, features.shape))
    #area_corr = pd.DataFrame(features.transpose()).corr() # num_images x num_images
    area_features.append(features)
cube_features.append(area_features)

我的错误代码是：

    AttributeError                            Traceback (most recent call last)
  /opt/anaconda3/lib/python3.8/site-packages/PIL/Image.py in open(fp, mode, formats)
   2894     try:
 -> 2895         fp.seek(0)
   2896     except (AttributeError, io.UnsupportedOperation):

    AttributeError: 'float' object has no attribute 'seek'

    During handling of the above exception, another exception occurred:

    AttributeError                            Traceback (most recent call last)
    <ipython-input-43-31c8f89d4a7f> in <module>
       8             features = []
       9             for row in df_cube['img_path']:
     ---> 10                 image = Image.open(row).convert('RGB')
      11                 features.append(np.array(image).flatten())
      12             features = np.array(features)

    /opt/anaconda3/lib/python3.8/site-packages/PIL/Image.py in open(fp, mode, formats)
     2895         fp.seek(0)
     2896     except (AttributeError, io.UnsupportedOperation):
     -> 2897         fp = io.BytesIO(fp.read())
     2898         exclusive_fp = True
     2899 

     AttributeError: 'float' object has no attribute 'read'

我真的希望有人能帮我解决这个问题！谢谢！

Answer 1

我的问题的答案很简单：我在读取 csv 文件时忘记指明分隔符，所以数据没有正确保存。 “行”指向一个空列。

始终打印您读过的内容。

感谢您的帮助！

转换图像文件时如何避免 Jupyter 中的归因错误？

How to avoid AttributionError in Jupyter when converting image file?

python

jupyter

attribution