5行Python代码实现刷爆全网的动态条形图！

cd 你的项目地址/venv/lib/python3.7/site-packages/bar_chart_race-masterpython setup.py install
# 提示成功安装# Finished processing dependencies for bar-chart-race==0.2.0

import bar_chart_race as bcr
# 如果出现SSL错误,则全局取消证书验证# import ssl# ssl._create_default_https_context = ssl._create_unverified_context
# 获取数据df = bcr.load_dataset('covid19_tutorial')# print(df)
# 生成GIF图像bcr.bar_chart_race(df, 'covid19_horiz.gif')

# orientation='v',生成柱状图bcr.bar_chart_race(df, 'covid19_horiz.gif', orientation='v')

# 设置排序方式,asc-升序bcr.bar_chart_race(df, 'covid19_horiz.gif', sort='asc')

# 设置最多能显示的条目数,6条bcr.bar_chart_race(df, 'covid19_horiz.gif', n_bars=6)

# 选取如下5个国家的数据bcr.bar_chart_race(df, 'covid19_horiz.gif', fixed_order=['Iran', 'USA', 'Italy', 'Spain', 'Belgium'])

# 设置数值的最大值，固定数值轴bcr.bar_chart_race(df, 'covid19_horiz.gif', fixed_max=True)

# 图像帧数。数值越小，越不流畅。越大，越流畅。bcr.bar_chart_race(df, 'covid19_horiz.gif', steps_per_period=3)

# 设置20帧的总时间，此处为200msbcr.bar_chart_race(df, 'covid19_horiz.gif', steps_per_period=20, period_length=200)

# 输出MP4bcr.bar_chart_race(df, 'covid19_horiz.mp4', interpolate_period=True)

# figsize-设置画布大小，默认(6, 3.5)# dpi-图像分辨率，默认144# label_bars-显示柱状图的数值信息，默认为True# period_label-显示时间标签信息，默认为True# title-图表标题bcr.bar_chart_race(df, 'covid19_horiz.gif', figsize=(5, 3), dpi=100, label_bars=False,                   period_label={'x': .99, 'y': .1, 'ha': 'right', 'color': 'red'},                   title='COVID-19 Deaths by Country')

# bar_label_size-柱状图标签文字大小# tick_label_size-坐标轴标签文字大小# title_size-标题标签文字大小bcr.bar_chart_race(df, 'covid19_horiz.gif', bar_label_size=4, tick_label_size=5,                                 title='COVID-19 Deaths by Country', title_size='smaller')

# shared_fontdict-全局字体属性bcr.bar_chart_race(df, 'covid19_horiz.gipurple'})

# bar_kwargs-条形图属性bcr.bar_chart_race(df, 'covid19_horiz.gif', bar_kwargs={'alpha': .2, 'ec': 'black', 'lw': 3})

# 设置日期格式，默认为'%Y-%m-%d'bcr.bar_chart_race(df, 'covid19_horiz.gif', period_fmt='%b %-d, %Y')

# 设置日期标签为数值bcr.bar_chart_race(df.reset_index(drop=True), 'covid19_horiz.gif', interpolate_period=True,                                  period_fmt='Index value - {x:.2f}')

                                 period_fmt='Index value - {x:.2f}')

# 设置文本位置、数值、大小、颜色等def summary(values, ranks):    total_deaths = int(round(values.sum(), -2))    s = f'Total Deaths - {total_deaths:,.0f}'    return {'x': .99, 'y': .05, 's': s, 'ha': 'right', 'size': 8}# 添加文本bcr.bar_chart_race(df, 'covid19_horiz.gif', period_summary_func=summary)

# 设置垂直条数值，分位数def func(values, ranks):    return values.quantile(.9)# 添加垂直条bcr.bar_chart_race(df, 'covid19_horiz.gif', perpendicular_bar_func=func)

# 设置柱状图颜色bcr.bar_chart_race(df, 'covid19_horiz.gif', cmap='accent')

# 去除重复颜色bcr.bar_chart_race(df, 'covid19_horiz.gif', cmap='accent', filter_column_colors=True)

#中文显示plt.rcParams['font.sans-serif'] = ['SimHei']  #Windowsplt.rcParams['font.sans-serif'] = ['Hiragino Sans GB'] #Macplt.rcParams['axes.unicode_minus'] = False

import bar_chart_race as bcrimport pandas as pd
# 读取数据df = pd.read_csv('yuhuanshui.csv', encoding='utf-8', header=0, names=['name', 'number', 'day'])# 处理数据df_result = pd.pivot_table(df, values='number', index=['day'], columns=['name'], fill_value=0)# print(df_result)
# 生成图像bcr.bar_chart_race(df_result, 'heat.gif', title='我是余欢水演职人员热度排行')

colormaps = {    "new_colors": [        '#ff812c',        '#ff5a5a',        '#00c5d2',        '#a64dff',        '#4e70f0',        '#f95dba',        '#ffce2b'    ]}

# 使用自定义的颜色列表bcr.bar_chart_race(df_result, 'heat.gif', title='我是余欢水演职人员热度排行', cmap='new_colors')