超酷炫，百行Python代码制作动态曲线图

import numpy as np 
import pandas as pd 
import matplotlib as mpl 
from matplotlib import pyplot as plt 
import matplotlib.animation as  animation 

cmap = [
'#2E91E5',
'#1CA71C',
'#DA16FF',
'#B68100',
'#EB663B',
'#00A08B',
'#FC0080',
'#6C7C32',
'#862A16',
'#620042',
'#DA60CA',
'#0D2A63']*100

mpl.rcParams['animation.writer'] = 'html'

def line_chart_race(df,filename=None,title = "",figsize = (6.5,3.5),dpi = 144,duration = 0.5):
    
    assert "date" in df.columns, "df should with a column date!"
    assert filename is None or filename.endswith(".html"), "filename should like *.html!"

    fig,ax = plt.subplots(figsize=figsize,dpi=dpi)

    ax.set_facecolor("0.9")
   
    # 调整spines
    ax.spines["top"].set_visible(False)
    ax.spines["right"].set_visible(False)
    ax.spines["left"].set_visible(False)
    ax.spines["bottom"].set_visible(False)

    def plot_frame(date):
        dfdata = df.loc[df["date"]<=date,:]
        dfdata.index = dfdata["date"]
        idx = range(len(dfdata))

        ax.clear() 
        cols = [name for name in dfdata.columns if name!="date"]
        for i,col in enumerate(cols):

            ax.plot(idx,dfdata[col],color = cmap[i],lw = 4)
            px,py = idx[-1],dfdata[col].iloc[-1]
            ax.scatter(px,py,color = cmap[i],edgecolor = "black",
                      s = 200,lw = 2.5,zorder = 4)

            ax.annotate(col+":\n"+str(py),xy = (px,py),  xycoords = "data",
                       xytext = (10,2),fontweight = "bold",color = cmap[i], textcoords = "offset points")

        # 调整绘图范围
        xlim = (0,len(df))
        ax.set_xlim(xmin = xlim[0]-(xlim[1]-xlim[0])/10,xmax = xlim[1]+(xlim[1]-xlim[0])/10)
        values = df[[x for x in df.columns if x!="date"]].values
        ylim = (values.min(),values.max())
        ax.set_ylim(ymin = ylim[0]-(ylim[1]-ylim[0])/10,ymax = ylim[1]+(ylim[1]-ylim[0])/10)


        # 设置xticks
        n = len(df)
        ticks_num = 12
        delta = int(np.ceil(n/ticks_num)) 
        ticks = list(range(0,n,delta)) 
        dates =  df["date"].tolist()
        ticklabels =[dates[i] for i in ticks]
        ax.set_xticks(ticks)
        ax.set_xticklabels(ticklabels)
        
        ax.tick_params(bottom = False,left = False,labelsize = 8,direction = "in",length = 2)

        # 添加辅助元素
        s = dfdata["date"].iloc[-1]
        ax.text(0.5, 0.5, s, va="center", ha="center",alpha=0.3, size = 50,transform = ax.transAxes)
        ax.grid(axis = "x",color="white",lw=1,ls = "-")
        ax.set_title(title,color = "black",fontsize = 12)
        
    line_animation = animation.FuncAnimation(fig,plot_frame,frames = df["date"],interval = int(duration*1000))
    if filename is None:
        try:
            from IPython.display import HTML
            return HTML(line_animation.to_jshtml())
        except ImportError:
            pass
    else:
        line_animation.save(filename)
        return filename
    
dfdata = pd.read_csv('Pop_data.csv')
dfdata = dfdata.rename({"year":"date"},axis = 1)
for col in dfdata.columns:
    if col!="date":
        dfdata.loc[:,col] = np.round(dfdata.loc[:,col]/1e8,4)
dfdata.set_index(dfdata["date"])

html_file = "population_race.html"
html = line_chart_race(dfdata,html_file,title="Population Line Race")
html