python - 转换图像文件时如何避免 Jupyter 中的 AttributionError？

问题描述

我面临的问题是我的代码不断在 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'

我真的希望有人可以帮助我！谢谢！

标签： pythonjupyterattribution

python - 转换图像文件时如何避免 Jupyter 中的 AttributionError？

问题描述

解决方案

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