精选6种制作竞赛动图的方法，收藏！

import bar_chart_race as bcr
import pandas as pd
# 生成GIF图像
index_dict = {'covid19_tutorial': 'date',
                  'covid19': 'date',
                  'urban_pop': 'year',
                  'baseball': None}
index_col = index_dict['covid19']
parse_dates = [index_col] if index_col else None
df = pd.read_csv('covid19.csv', index_col=index_col, parse_dates=parse_dates)
bcr.bar_chart_race(df, 'covid19_horiz.gif')

import matplotlib.animation as animation
from IPython.display import HTML
fig, 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()

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import matplotlib.animation as animation
from IPython.display import HTML
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
df = pd.read_csv("population.csv", usecols=['name', 'group', 'year', 'value'])
colors = dict(zip(
    ["India", "Europe", "Asia", "Latin America", "Middle East", "North America", "Africa"],
    ["#adb0ff", "#ffb3ff", "#90d595", "#e48381", "#aafbff", "#f7bb5f", "#eafb50"]
))
group_lk = df.set_index('name')['group'].to_dict()
fig, ax = plt.subplots(figsize=(15, 8))

def draw_barchart(current_year):
    dff = df[df['year'].eq(current_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')
    ax.text(1, 0.4, current_year, transform=ax.transAxes, color='#777777', size=46, ha='right', weight=800)
    ax.text(0, 1.06, '人口 (千人)', 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, 1.15, '1500 到 2018 年各城市人口情况',
            transform=ax.transAxes, size=24, weight=600, ha='left', va='top')
    ax.text(1, 0, 'by @萝卜大杂烩', transform=ax.transAxes, color='#777777', ha='right',
            bbox=dict(facecolor='white', alpha=0.8, edgecolor='white'))
    plt.box(False)
    
animator = animation.FuncAnimation(fig, draw_barchart, frames=range(1900, 2019))
HTML(animator.to_jshtml())

import pandas_alive
import pandas as pd

covid_df = pd.read_csv('covid19.csv', index_col=0, parse_dates=[0])

covid_df.diff().fillna(0).plot_animated(filename='line_chart.gif',kind='line',period_label={'x':0.25,'y':0.9})

import pandas_alive

import pandas as pd

covid_df = pd.read_csv('covid19.csv', index_col=0, parse_dates=[0])

covid_df.diff().fillna(0).plot_animated(filename='examples/example-line-chart.gif',kind='line',period_label={'x':0.25,'y':0.9})