1.图
2.代码
import pandas as pd import matplotlib as mpl import matplotlib.pyplot as plt import matplotlib.ticker as ticker import matplotlib.animation as animation #导出数据,当然这个数据也可以是直接在网上下载,是的有点慢 #网址:https://gist.githubusercontent.com/johnburnmurdoch/4199dbe55095c3e13de8d5b2e5e5307a/raw/fa018b25c24b7b5f47fd0568937ff6c04e384786/city_populations df = pd.read_csv('city_populations.csv', usecols=['name', 'group', 'year', 'value']) #将数据下载下来放在指定默认的目录和文件夹下,city_populations.csv #定义 current_year = 2018 dff=() fig, ax = plt.subplots(figsize=(15, 8)) 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() def draw_barchart(year): dff = df[df['year'].eq(year)].sort_values(by='value', ascending=True).tail(10) ax.clear() #每次清空、刷新 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') #显示文字,x=0,y=1.10,坐标,ha=水平对准=水平线平放 #ax.text()格式=(x,y,string,fontsize=15,verticalalignment="top",horizontalalignment="right") #string=字符串='文字内容' ax.text(0, 1.10, 'The most populous cities in the world from 1968 to 2018', transform=ax.transAxes, size=18, weight=600, ha='left') #文字标题,第1层 ax.text(0, 1.04, 'Population (thousands)', transform=ax.transAxes, size=12, color='#777777') #显示文字,第2层 ax.text(1, 0.4, year, transform=ax.transAxes, color='#777777', size=46, ha='right', weight=800) #右边固定显示动图年份 #va=verticalalignment="top",垂直对准 #ha=horizontalalignment="right",alignment=对准,水平对准 ax.xaxis.set_ticks_position('top') #x轴在上面 ax.set_yticks([]) #默认是显示y轴的名称,左边垂直的城市名字,设为[]就是不显示 ax.margins(0, 0.01) #不设置就是默认值,缩放比例(0,0.05) ax.grid(which='major', axis='x', linestyle='--') #垂直线,布局和格式 ax.set_axisbelow(True) #默认是true的 plt.box(False) #默认是True,False之后不显示黑色线框 animator = animation.FuncAnimation(fig, draw_barchart, frames=range(1968, 2019)) #以animator形式展现动画 plt.show() #以plt的形式展现图片