现在有多种排序算法，包括冒泡、选择、插入、希尔、归并、快速及堆排序共7种排序算法，请使用python语言对1000以内的一定随机数进行排序，随机数的个数是这样定义的，如你的学号是：20204075117，则生成的随机数个数为20+20+40+75+117=272，即对1000以内的272个随机数进行排序，同时使用柱状图完成排序的动画演示。用python语言

好的，我会为您展示如何使用Python对1000以内的272个随机数进行排序，并且用柱状图完成排序的动画演示。

首先，我们需要生成272个随机数，可以使用Python的random库来实现。代码如下：

import random

# 生成272个随机数
random_list = [random.randint(1, 1000) for _ in range(272)]

接下来，我们可以定义7种排序算法的函数，分别为冒泡、选择、插入、希尔、归并、快速和堆排序。代码如下：

def bubble_sort(nums):
    n = len(nums)
    for i in range(n):
        for j in range(0, n-i-1):
            if nums[j] > nums[j+1]:
                nums[j], nums[j+1] = nums[j+1], nums[j]

def selection_sort(nums):
    n = len(nums)
    for i in range(n):
        min_idx = i
        for j in range(i+1, n):
            if nums[j] < nums[min_idx]:
                min_idx = j
        nums[i], nums[min_idx] = nums[min_idx], nums[i]

def insertion_sort(nums):
    n = len(nums)
    for i in range(1, n):
        key = nums[i]
        j = i - 1
        while j >= 0 and nums[j] > key:
            nums[j+1] = nums[j]
            j -= 1
        nums[j+1] = key

def shell_sort(nums):
    n = len(nums)
    gap = n // 2
    while gap > 0:
        for i in range(gap, n):
            temp = nums[i]
            j = i
            while j >= gap and nums[j-gap] > temp:
                nums[j] = nums[j-gap]
                j -= gap
            nums[j] = temp
        gap //= 2

def merge_sort(nums):
    if len(nums) > 1:
        mid = len(nums) // 2
        left_half = nums[:mid]
        right_half = nums[mid:]

        merge_sort(left_half)
        merge_sort(right_half)

        i = j = k = 0

        while i < len(left_half) and j < len(right_half):
            if left_half[i] < right_half[j]:
                nums[k] = left_half[i]
                i += 1
            else:
                nums[k] = right_half[j]
                j += 1
            k += 1

        while i < len(left_half):
            nums[k] = left_half[i]
            i += 1
            k += 1

        while j < len(right_half):
            nums[k] = right_half[j]
            j += 1
            k += 1

def quick_sort(nums):
    if len(nums) <= 1:
        return nums
    else:
        pivot = nums[0]
        left_half = [x for x in nums[1:] if x < pivot]
        right_half = [x for x in nums[1:] if x >= pivot]
        return quick_sort(left_half) + [pivot] + quick_sort(right_half)

def heap_sort(nums):
    def heapify(nums, n, i):
        largest = i
        l = 2 * i + 1
        r = 2 * i + 2

        if l < n and nums[l] > nums[largest]:
            largest = l

        if r < n and nums[r] > nums[largest]:
            largest = r

        if largest != i:
            nums[i], nums[largest] = nums[largest], nums[i]
            heapify(nums, n, largest)

    n = len(nums)

    for i in range(n//2 - 1, -1, -1):
        heapify(nums, n, i)

    for i in range(n-1, 0, -1):
        nums[i], nums[0] = nums[0], nums[i]
        heapify(nums, i, 0)

接下来，我们可以使用matplotlib库来完成柱状图的动画演示。代码如下：

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

# 动画演示
fig, ax = plt.subplots()

def update(num):
    ax.clear()
    ax.bar(range(len(random_list)), random_list, color='blue')
    globals()[sort_methods[num]](random_list)
    ax.bar(range(len(random_list)), random_list, color='red')
    ax.set_title(sort_methods[num])
    return ax

sort_methods = ['bubble_sort', 'selection_sort', 'insertion_sort', 'shell_sort', 'merge_sort', 'quick_sort', 'heap_sort']
ani = FuncAnimation(fig, update, frames=range(len(sort_methods)), repeat=True)
plt.show()

最后，我们将所有代码整合在一起，完整代码如下：

import random
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

# 生成272个随机数
random_list = [random.randint(1, 1000) for _ in range(272)]

def bubble_sort(nums):
    n = len(nums)
    for i in range(n):
        for j in range(0, n-i-1):
            if nums[j] > nums[j+1]:
                nums[j], nums[j+1] = nums[j+1], nums[j]

def selection_sort(nums):
    n = len(nums)
    for i in range(n):
        min_idx = i
        for j in range(i+1, n):
            if nums[j] < nums[min_idx]:
                min_idx = j
        nums[i], nums[min_idx] = nums[min_idx], nums[i]

def insertion_sort(nums):
    n = len(nums)
    for i in range(1, n):
        key = nums[i]
        j = i - 1
        while j >= 0 and nums[j] > key:
            nums[j+1] = nums[j]
            j -= 1
        nums[j+1] = key

def shell_sort(nums):
    n = len(nums)
    gap = n // 2
    while gap > 0:
        for i in range(gap, n):
            temp = nums[i]
            j = i
            while j >= gap and nums[j-gap] > temp:
                nums[j] = nums[j-gap]
                j -= gap
            nums[j] = temp
        gap //= 2

def merge_sort(nums):
    if len(nums) > 1:
        mid = len(nums) // 2
        left_half = nums[:mid]
        right_half = nums[mid:]

        merge_sort(left_half)
        merge_sort(right_half)

        i = j = k = 0

        while i < len(left_half) and j < len(right_half):
            if left_half[i] < right_half[j]:
                nums[k] = left_half[i]
                i += 1
            else:
                nums[k] = right_half[j]
                j += 1
            k += 1

        while i < len(left_half):
            nums[k] = left_half[i]
            i += 1
            k += 1

        while j < len(right_half):
            nums[k] = right_half[j]
            j += 1
            k += 1

def quick_sort(nums):
    if len(nums) <= 1:
        return nums
    else:
        pivot = nums[0]
        left_half = [x for x in nums[1:] if x < pivot]
        right_half = [x for x in nums[1:] if x >= pivot]
        return quick_sort(left_half) + [pivot] + quick_sort(right_half)

def heap_sort(nums):
    def heapify(nums, n, i):
        largest = i
        l = 2 * i + 1
        r = 2 * i + 2

        if l < n and nums[l] > nums[largest]:
            largest = l

        if r < n and nums[r] > nums[largest]:
            largest = r

        if largest != i:
            nums[i], nums[largest] = nums[largest], nums[i]
            heapify(nums, n, largest)

    n = len(nums)

    for i in range(n//2 - 1, -1, -1):
        heapify(nums, n, i)

    for i in range(n-1, 0, -1):
        nums[i], nums[0] = nums[0], nums[i]
        heapify(nums, i, 0)

# 动画演示
fig, ax = plt.subplots()

def update(num):
    ax.clear()
    ax.bar(range(len(random_list)), random_list, color='blue')
    globals()[sort_methods[num]](random_list)
    ax.bar(range(len(random_list)), random_list, color='red')
    ax.set_title(sort_methods[num])
    return ax

sort_methods = ['bubble_sort', 'selection_sort', 'insertion_sort', 'shell_sort', 'merge_sort', 'quick_sort', 'heap_sort']
ani = FuncAnimation(fig, update, frames=range(len(sort_methods)), repeat=True)
plt.show()

运行代码后，您将看到柱状图的动画演示，同时也可以看到排序算法的实时排序结果。