1. 柱状图动态可视化
2. Python画无情的大地GIF
https://www.zhihu.com/question/302105116 第一个答复
用Python生成数据动图的体验版代码
链接:https://pan.baidu.com/s/1VXh7BPT4JrEOX5csdNyRxw 密码:b2wo
3. Python animation
https://towardsdatascience.com/bar-chart-race-in-python-with-matplotlib-8e687a5c8a41
import pandas as pdimport matplotlib.pyplot as pltimport matplotlib.ticker as tickerimport matplotlib.animation as animationfrom IPython.display import HTMLdf = pd.read_csv('https://gist.githubusercontent.com/johnburnmurdoch/4199dbe55095c3e13de8d5b2e5e5307a/raw/fa018b25c24b7b5f47fd0568937ff6c04e384786/city_populations', usecols=['name', 'group', 'year', 'value'])fig, ax = plt.subplots(figsize=(15, 8))def draw_barchart(year): dff = df[df['year'].eq(year)].sort_values(by='value', ascending=True).tail(10) ax.clear() ax.barh(dff['name'], dff['value'], color=[colors[group_lk[x]] for x in dff['name']]) dx = dff['value'].max() / 200 for i, (value, name) in enumerate(zip(dff['value'], dff['name'])): ax.text(value-dx, i, name, size=14, weight=600, ha='right', va='bottom') ax.text(value-dx, i-.25, group_lk[name], size=10, color='#444444', ha='right', va='baseline') ax.text(value+dx, i, f'{value:,.0f}', size=14, ha='left', va='center') # ... polished styles ax.text(1, 0.4, year, transform=ax.transAxes, color='#777777', size=46, ha='right', weight=800) ax.text(0, 1.06, 'Population (thousands)', transform=ax.transAxes, size=12, color='#777777') ax.xaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}')) ax.xaxis.set_ticks_position('top') ax.tick_params(axis='x', colors='#777777', labelsize=12) ax.set_yticks([]) ax.margins(0, 0.01) ax.grid(which='major', axis='x', linestyle='-') ax.set_axisbelow(True) ax.text(0, 1.12, 'The most populous cities in the world from 1500 to 2018', transform=ax.transAxes, size=24, weight=600, ha='left')# ax.text(1, 0, 'by @pratapvardhan; credit @jburnmurdoch', transform=ax.transAxes, ha='right',# color='#777777', bbox=dict(facecolor='white', alpha=0.8, edgecolor='white')) plt.box(False) import matplotlib.animation as animationfrom IPython.display import HTMLfig, ax = plt.subplots(figsize=(15, 8))animator = animation.FuncAnimation(fig, draw_barchart, frames=range(1968, 2019))HTML(animator.to_jshtml()) # or use animator.to_html5_video() or animator.save()python 动图pgddxf
4. R语言
https://rdrr.io/cran/processanimateR/
https://github.com/bupaverse/processanimateR
https://blog.csdn.net/weixin_41916005/article/details/80482609
https://blog.csdn.net/mouday/article/details/80903408
啥时候能学会啊？？？