python制作动画可视化效果

import os import numpy as np import matplotlib.pyplot as plt import imageio # # 生成40个取值在30-40的数 y = np.random.randint(30, 40, size=(40)) # # 绘制折线 # plt.plot(y) # # 设置y轴最小值和最大值 # plt.ylim(20, 50) # # # 显示 # plt.show() # # 生成40个取值在30-40的数 # y = np.random.randint(30, 40, size=(40)) # # # 第一张图 # plt.plot(y[:-3]) # plt.ylim(20, 50) # plt.savefig('1.png') # plt.show() # # # 第二张图 # plt.plot(y[:-2]) # plt.ylim(20, 50) # plt.savefig('2.png') # plt.show() # # # 第三张图 # plt.plot(y[:-1]) # plt.ylim(20, 50) # plt.savefig('3.png') # plt.show() # # # 第四张图 # plt.plot(y) # plt.ylim(20, 50) # plt.savefig('4.png') # plt.show() # # 生成Gif # with imageio.get_writer('mygif.gif', mode='I') as writer: # for filename in ['1.png', '2.png', '3.png', '4.png']: # image = imageio.imread(filename) # writer.append_data(image) # filenames = [] # num = 0 # for i in y: # num += 1 # # 绘制40张折线图 # plt.plot(y[:num]) # plt.ylim(20, 50) # # # 保存图片文件 # filename = f'{num}.png' # filenames.append(filename) # plt.savefig(filename) # plt.close() # # # 生成gif # with imageio.get_writer('mygif.gif', mode='I') as writer: # for filename in filenames: # image = imageio.imread(filename) # writer.append_data(image) # # # 删除40张折线图 # for filename in set(filenames): # os.remove(filename) # x = [1, 2, 3, 4, 5] # coordinates_lists = [[0, 0, 0, 0, 0], # [10, 30, 60, 30, 10], # [70, 40, 20, 40, 70], # [10, 20, 30, 40, 50], # [50, 40, 30, 20, 10], # [75, 0, 75, 0, 75], # [0, 0, 0, 0, 0]] # filenames = [] # for index, y in enumerate(coordinates_lists): # # 条形图 # plt.bar(x, y) # plt.ylim(0, 80) # # # 保存图片文件 # filename = f'{index}.png' # filenames.append(filename) # # # 重复最后一张图形15帧(数值都为0),15张图片 # if (index == len(coordinates_lists) - 1): # for i in range(15): # filenames.append(filename) # # # 保存 # plt.savefig(filename) # plt.close() # # # 生成gif # with imageio.get_writer('mygif.gif', mode='I') as writer: # for filename in filenames: # image = imageio.imread(filename) # writer.append_data(image) # # # 删除20几张柱状图 # for filename in set(filenames): # os.remove(filename) x = [1, 2, 3, 4, 5] # coordinates_lists = [[0, 0, 0, 0, 0], # [10, 30, 60, 30, 10], # [70, 40, 20, 40, 70], # [10, 20, 30, 40, 50], # [50, 40, 30, 20, 10], # [75, 0, 75, 0, 75], # [0, 0, 0, 0, 0]] # filenames = [] # for index, y in enumerate(coordinates_lists): # # 条形图 # plt.bar(x, y) # plt.ylim(0, 80) # # # 保存图片文件 # filename = f'{index}.png' # filenames.append(filename) # # # 重复最后一张图形15帧(数值都为0),15张图片 # if (index == len(coordinates_lists) - 1): # for i in range(15): # filenames.append(filename) # # # 保存 # plt.savefig(filename) # plt.close() # # # 生成gif # with imageio.get_writer('mygif.gif', mode='I') as writer: # for filename in filenames: # image = imageio.imread(filename) # writer.append_data(image) # # # 删除20几张柱状图 # for filename in set(filenames): # os.remove(filename) # n_frames = 10 # x = [1, 2, 3, 4, 5] # coordinates_lists = [[0, 0, 0, 0, 0], # [10, 30, 60, 30, 10], # [70, 40, 20, 40, 70], # [10, 20, 30, 40, 50], # [50, 40, 30, 20, 10], # [75, 0, 75, 0, 75], # [0, 0, 0, 0, 0]] # print('生成图表\n') # filenames = [] # for index in np.arange(0, len(coordinates_lists) - 1): # # 获取当前图像及下一图像的y轴坐标值 # y = coordinates_lists[index] # y1 = coordinates_lists[index + 1] # # # 计算当前图像与下一图像y轴坐标差值 # y_path = np.array(y1) - np.array(y) # for i in np.arange(0, n_frames + 1): # # 分配每帧的y轴移动距离 # # 逐帧增加y轴的坐标值 # y_temp = (y + (y_path / n_frames) * i) # # 绘制条形图 # plt.bar(x, y_temp) # plt.ylim(0, 80) # # 保存每一帧的图像 # filename = f'images/frame_{index}_{i}.png' # filenames.append(filename) # # 最后一帧重复,画面停留一会 # if (i == n_frames): # for i in range(5): # filenames.append(filename) # # 保存图片 # plt.savefig(filename) # plt.close() # print('保存图表\n') # # 生成GIF # print('生成GIF\n') # with imageio.get_writer('mybars.gif', mode='I') as writer: # for filename in filenames: # image = imageio.imread(filename) # writer.append_data(image) # print('保存GIF\n') # print('删除图片\n') # # 删除图片 # for filename in set(filenames): # os.remove(filename) # print('完成') # n_frames = 10 # bg_color = '#95A4AD' # bar_color = '#283F4E' # gif_name = 'bars' # x = [1, 2, 3, 4, 5] # coordinates_lists = [[0, 0, 0, 0, 0], # [10, 30, 60, 30, 10], # [70, 40, 20, 40, 70], # [10, 20, 30, 40, 50], # [50, 40, 30, 20, 10], # [75, 0, 75, 0, 75], # [0, 0, 0, 0, 0]] # print('生成图表\n') # filenames = [] # for index in np.arange(0, len(coordinates_lists) - 1): # y = coordinates_lists[index] # y1 = coordinates_lists[index + 1] # y_path = np.array(y1) - np.array(y) # for i in np.arange(0, n_frames + 1): # y_temp = (y + (y_path / n_frames) * i) # # 绘制条形图 # fig, ax = plt.subplots(figsize=(8, 4)) # ax.set_facecolor(bg_color) # plt.bar(x, y_temp, width=0.4, color=bar_color) # plt.ylim(0, 80) # # 移除图表的上边框和右边框 # ax.spines['right'].set_visible(False) # ax.spines['top'].set_visible(False) # # 设置虚线网格线 # ax.set_axisbelow(True) # ax.yaxis.grid(color='gray', linestyle='dashed', alpha=0.7) # # 保存每一帧的图像 # filename = f'images/frame_{index}_{i}.png' # filenames.append(filename) # # # 最后一帧重复,画面停留一会 # if (i == n_frames): # for i in range(5): # filenames.append(filename) # # 保存图片 # plt.savefig(filename, dpi=96, facecolor=bg_color) # plt.close() # print('保存图表\n') # # 生成GIF # print('生成GIF\n') # with imageio.get_writer(f'{gif_name}.gif', mode='I') as writer: # for filename in filenames: # image = imageio.imread(filename) # writer.append_data(image) # print('保存GIF\n') # print('删除图片\n') # # 删除图片 # for filename in set(filenames): # os.remove(filename) # print('完成') coordinates_lists = [[[0], [0]], [[100, 200, 300], [100, 200, 300]], [[400, 500, 600], [400, 500, 600]], [[400, 500, 600, 400, 500, 600], [400, 500, 600, 600, 500, 400]], [[500], [500]], [[0], [0]]] gif_name = 'movie' n_frames = 10 bg_color = '#95A4AD' marker_color = '#283F4E' marker_size = 25 print('生成图表\n') filenames = [] for index in np.arange(0, len(coordinates_lists) - 1): # 获取当前图像及下一图像的x与y轴坐标值 x = coordinates_lists[index][0] y = coordinates_lists[index][1] x1 = coordinates_lists[index + 1][0] y1 = coordinates_lists[index + 1][1] # 查看两