數據科學python錯誤 - ValueError：x和y必須具有相同的第一維

Question

我正在python中做一些統計分析，但我是新來的字段，並一直卡在一個錯誤。

對於背景，我計算了一組sample_means，每個樣本大小200次。然後，我計算每個樣本大小的平均值和標準偏差，然後將其存儲在數組中。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) 

現在我想要繪製具有以下輸入數據：

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,) 

關於我要去哪裏的錯誤？我覺得它可能很明顯，我沒有看到，因爲我是新手。任何幫助，將不勝感激！！

Answer 1

這條線：

plt.plot(sample_sizes, mean_of_sample_means) 

需要兩個參數具有相同的形狀（因爲你需要x和y的一些笛卡爾座標系上的情節，更精確地說：在關於大小相同在錯誤中看到的第一個維度：if x.shape[0] != y.shape[0]）。

但是：

sample_sizes = np.arange(1,1001,1) # 1000 ! 

和：

number_of_samples = 200 
mean_of_sample_means = [] 
for x in range (number_of_samples): 
    mean_of_sample_means.append(np.mean(sample_sizes)) # mean by default over flattened-structure 
                 # so i assume: 1 element per iteration 
# 200 ! 

和預期的一樣，錯誤給出的正是這種信息：ValueError: x and y must have same first dimension, but have shapes (1000,) and (200,)