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270个随机数进行排序，同时使用柱状图完成排序的动画演示。

好的，我可以帮你实现。为了完成排序动画演示，我们需要使用matplotlib库。以下是代码实现：

import random
import matplotlib.pyplot as plt

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

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

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

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

def merge_sort(arr):
    if len(arr) > 1:
        mid = len(arr)//2
        left_half = arr[:mid]
        right_half = arr[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]:
                arr[k] = left_half[i]
                i += 1
            else:
                arr[k] = right_half[j]
                j += 1
            k += 1

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

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

def quick_sort(arr, low, high):
    if low < high:
        partition_index = partition(arr, low, high)

        yield arr

        yield from quick_sort(arr, low, partition_index - 1)
        yield from quick_sort(arr, partition_index + 1, high)

def partition(arr, low, high):
    i = low - 1
    pivot = arr[high]

    for j in range(low, high):
        if arr[j] <= pivot:
            i += 1
            arr[i], arr[j] = arr[j], arr[i]
    arr[i+1], arr[high] = arr[high], arr[i+1]
    return i+1

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

    if l < n and arr[i] < arr[l]:
        largest = l

    if r < n and arr[largest] < arr[r]:
        largest = r

    if largest != i:
        arr[i], arr[largest] = arr[largest], arr[i]
        yield arr
        yield from heapify(arr, n, largest)

def heap_sort(arr):
    n = len(arr)

    for i in range(n//2 - 1, -1, -1):
        yield from heapify(arr, n, i)

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

def visualize_sorting(algo_name, arr):
    fig, ax = plt.subplots()
    ax.set_title(algo_name)
    bar_rects = ax.bar(range(len(arr)), arr, align="edge")
    ax.set_xlim(0, len(arr))
    ax.set_ylim(0, int(1.07 * max(arr)))
    text = ax.text(0.02, 0.95, "", transform=ax.transAxes)
    iteration = [0]

    def update_fig(arr, rects, iteration):
        for rect, val in zip(rects, arr):
            rect.set_height(val)
        iteration[0] += 1
        text.set_text("# of operations: {}".format(iteration[0]))

    if algo_name == "Bubble Sort":
        generator = bubble_sort(arr)
    elif algo_name == "Selection Sort":
        generator = selection_sort(arr)
    elif algo_name == "Insertion Sort":
        generator = insertion_sort(arr)
    elif algo_name == "Shell Sort":
        generator = shell_sort(arr)
    elif algo_name == "Merge Sort":
        generator = merge_sort(arr)
    elif algo_name == "Quick Sort":
        generator = quick_sort(arr, 0, len(arr)-1)
    else:
        generator = heap_sort(arr)

    plt.show(block=False)

    for i in generator:
        update_fig(i, bar_rects, iteration)
        plt.pause(0.1)

    plt.close()

if __name__ == "__main__":
    arr = [random.randint(0, 1000) for _ in range(270)]
    visualize_sorting("Bubble Sort", arr)
    visualize_sorting("Selection Sort", arr)
    visualize_sorting("Insertion Sort", arr)
    visualize_sorting("Shell Sort", arr)
    visualize_sorting("Merge Sort", arr)
    visualize_sorting("Quick Sort", arr)
    visualize_sorting("Heap Sort", arr)

这个程序会生成一个随机数列表，然后分别用冒泡、选择、插入、希尔、归并、快速及堆排序算法对其进行排序，并将排序过程进行动画演示，每次演示都会生成一个柱状图，用于展示当前排序状态。