无法将字符串转换为浮点数：'.ipynb_checkpoints'

Question

大家好，我想在我的程序中可视化一个数据集，这样我就可以知道我的数据中有多少类，但是这个错误一直出现，谁能帮我解决这个问题，因为我无法访问我的数据

 folders = os.listdir(train_path)
    train_number=[]
    class_num=[]
    for folder in folders:
      train_files= os.listdir(train_path + '/' + folder)
      train_number.append(len(train_files))
      class_num.append(classes[int(float(folder))])
    
    #sorting the dataset on the basis of number images in each class
    zipped_lists=zip(train_number,class_num)
    sorted_pairs= sorted(zipped_lists)
    tuples= zip(*sorted_pairs)
    train_number, class_num = [list(tuple) for tuple in tuples]
    
    #plotting the number of images in each class
    plt.figure(figsize=(21,10))
    plt.bar(class_num,train_number)
    plt.xticks(class_num, rotation='vertical')
    plt.show

    ValueError                                Traceback (most recent call last)
    <ipython-input-28-10b88599517e> in <module>()
          5   train_files= os.listdir(train_path + '/' + folder)
          6   train_number.append(len(train_files))
    ----> 7   class_num.append(classes[int(float(folder))])
          8 
          9 #sorting the dataset on the basis of number images in each class
    
    ValueError: could not convert string to float: '.ipynb_checkpoints'

Answer 1

在您的 folders = os.listdir(train_path) 中，您有一个隐藏文件夹调用“.ipynb_checkpoints” Python 无法转换为浮动，您可以在try/except块中保护它：

for folder in folders:
    try:
       train_files= os.listdir(train_path + '/' + folder)
       train_number.append(len(train_files))
       class_num.append(classes[int(float(folder))])
    except ValueError:
       # do something with the error

无法将字符串转换为浮点数：'.ipynb_checkpoints'

could not convert string to float: '.ipynb_checkpoints'

python

keras

tensorflow