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Python动态数据展示

程序员文章站 2024-03-25 17:21:04
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import xlrd
import datetime
import matplotlib.pyplot as plt
import imageio


def data_gif(cols, xlim_num, duration):#cols 展示前几列的数据,xlim_num x轴刻度值,duration 两张图片间的间隔,建议写0.2-0.5
    plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签
    plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号
    frames = []
    xlsx = xlrd.open_workbook('data_source.xlsx')
    sheet = xlsx.sheet_by_index(0)
    name_list = []
    for j in range(1, int(cols)):
        name_list.append(sheet.cell_value(0, j))

    for i in range(1, sheet.nrows):
        row_data_list = []
        for j in range(1, int(cols)):
            title = sheet.cell_value(i, 0)
            row_data = sheet.cell_value(i, j)
            row_data_list.append(float(row_data))
        plt.xlim((0, int(xlim_num)))
        plt.barh(name_list, row_data_list, color='blue')
        plt.savefig("%s.png" % str(title))
        plt.close('all')

        im = imageio.imread("%s.png" % str(title))
        frames.append(im)
    imageio.mimsave('data_gif.gif', frames, 'GIF', duration=round(duration, 2))

data_gif(7,1000,0.5)

 

Python动态数据展示

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