如何将for循环用于模型

Question

我知道我必须将这些都放入一个函数中，然后从for循环中调用该函数十次，但我不知道如何调用。如有任何帮助，我们将不胜感激。

import random
import matplotlib.pyplot as plt
import statistics as stats
plt.hist(list1, bins=100, alpha = 0.5)
array1 = np.array(list1)
array2 = np.array(list2)
array3 = np.array(list3)
# Run the t-test using scipy library
scipy.stats.ttest_ind(array1,array2)

Answer 1

使用范围(对于范围(0,10(中的x(：

import random
import matplotlib.pyplot as plt
import statistics as stats
import numpy as np
# Library for scientific statistics
import scipy.stats
for x in range(0,10):
print(x)
# Create two lists of random numbers that follow a normal ("Gaussian") distribution
# Start with an empty list named "list1"
list1 = []
# Loop that runs 30 times - starts at 1, goes to 30
for x in range(1,30):
# Random numbers drawn from pool that has mean of 12 and standard deviation of 5
value1 = random.gauss(12,5)
# Add random value to the first list, list1
list1.append(value1)
print(list1)
# Do the same with a second list
list2 = []
for x in range(1,30):
# Random numbers drawn from pool that has mean of 14 and standard deviation of 4
value2 = random.gauss(14,4)
list2.append(value2)
print(list2)
# Create a histogram of the two lists using matplotlib library
plt.hist(list1, bins=50, alpha = 0.5)
plt.hist(list2, bins=50, alpha = 0.5)
# Run a t-test on the two sets of data
array1 = np.array(list1)
array2 = np.array(list2)
# Run the t-test using scipy library
scipy.stats.ttest_ind(array1,array2)