對于背景，我計算了一組sample_means，每個樣本大小200次。然后，我計算每個樣本大小的平均值和標(biāo)準(zhǔn)偏差，然后將其存儲在數(shù)組中。這是我的代碼：

in[] =

sample_sizes = np.arange(1,1001,1)

number_of_samples = 200

mean_of_sample_means = []

std_dev_of_sample_means = []

for x in range (number_of_samples):

mean_of_sample_means.append(np.mean(sample_sizes))

std_dev_of_sample_means.append(np.std(sample_sizes))

in[] = # mean and std of 200 means from 200 replications, each of size 10

trials[0], mean_of_sample_means[0], std_dev_of_sample_means[0]

out[] = (10, 500.5, 288.67499025720952)

現(xiàn)在我想要繪制具有以下輸入數(shù)據(jù)：

plt.plot(sample_sizes, mean_of_sample_means);

plt.ylim([0.480,0.520]);

plt.xlabel("sample sizes")

plt.ylabel("mean probability of heads")

plt.title("Mean of sample means over 200 replications");

然而，當(dāng)我這樣做，我拋出了以下錯誤：

242 if x.shape[0] != y.shape[0]:

243 raise ValueError("x and y must have same first dimension, but "

--> 244 "have shapes {} and {}".format(x.shape, y.shape))

245 if x.ndim > 2 or y.ndim > 2:

246 raise ValueError("x and y can be no greater than 2-D, but have "

ValueError: x and y must have same first dimension, but have shapes (1000,) and (200,)

關(guān)于我要去哪里的錯誤？我覺得它可能很明顯，我沒有看到，因為我是新手。任何幫助，將不勝感激！！

+0

嗨，你能嘗試編輯代碼，以實際代碼你用來生成'ValueError'？包括所有模塊導(dǎo)入和變量定義(例如'trials' does not exist) –

+1

我認(rèn)為相同，但我認(rèn)為從筆記本粘貼的OP副本 –

+0

我認(rèn)為你的'mean_of sample_means'將有一個常數(shù)條目500.5所有200人。與'std_dev_of_sample_means'相同，它將成為288.67499025720952 –

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