人口必须是一个序列或集合。对于字典，使用 list(d)

Question

我尝试执行此代码，但出现以下错误，我在随机函数中出现错误，但我不知道如何解决，请帮助我。

def load_data(sample_split=0.3, usage='Training', to_cat=True, verbose=True,
          classes=['Angry','Happy'], filepath='C:/Users/Oussama/Desktop/fer2013.csv'):
    df = pd.read_csv(filepath)
    # print df.tail()
    # print df.Usage.value_counts()
    df = df[df.Usage == usage]
    frames = []
    classes.append('Disgust')
    for _class in classes:
        class_df = df[df['emotion'] == emotion[_class]]
        frames.append(class_df)
    data = pd.concat(frames, axis=0)
    rows = random.sample(data.index, int(len(data)*sample_split))
    data = data.ix[rows]
    print ('{} set for {}: {}'.format(usage, classes, data.shape))
    data['pixels'] = data.pixels.apply(lambda x: reconstruct(x))
    x = np.array([mat for mat in data.pixels]) # (n_samples, img_width, img_height)
    X_train = x.reshape(-1, 1, x.shape[1], x.shape[2])
    y_train, new_dict = emotion_count(data.emotion, classes, verbose)
    print (new_dict)
    if to_cat:
        y_train = to_categorical(y_train)
    return X_train, y_train, new_dict

我明白了：

def load_data(sample_split=0.3, usage='Training', to_cat=True, verbose=True,
          classes=['Angry','Happy'], filepath='C:/Users/Oussama/Desktop/fer2013.csv'):
    df = pd.read_csv(filepath)
    # print df.tail()
    # print df.Usage.value_counts()
    df = df[df.Usage == usage]
    frames = []
    classes.append('Disgust')
    for _class in classes:
        class_df = df[df['emotion'] == emotion[_class]]
        frames.append(class_df)
    data = pd.concat(frames, axis=0)
    rows = random.sample(data.index, int(len(data)*sample_split))
    data = data.ix[rows]
    print ('{} set for {}: {}'.format(usage, classes, data.shape))
    data['pixels'] = data.pixels.apply(lambda x: reconstruct(x))
    x = np.array([mat for mat in data.pixels]) # (n_samples, img_width, img_height)
    X_train = x.reshape(-1, 1, x.shape[1], x.shape[2])
    y_train, new_dict = emotion_count(data.emotion, classes, verbose)
    print (new_dict)
    if to_cat:
        y_train = to_categorical(y_train)
    return X_train, y_train, new_dict

Answer 1

你的代码在这里：

rows = random.sample(data.index, int(len(data)*sample_split))

但是，错误消息显示

rows = random.sample(data, int(len(data)*sample_split))

为什么不同？你修改了吗？以及数据的类型 是什么？它是一个列表吗？或字典？

而且，错误消息已经告诉您如何修复它。这意味着random.sample的第一个参数必须是一个序列或集合。对于字典，请使用 list(Dict)。

例如，

d = {'a':1,'b':2}
random.sample(list(d), 1)

代替

random.sample(d, 1)