1 说明：

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1.1 资料来源：标点符

 #感谢

1.2 知识点：python、matplotlib、csv和微软编辑器小技巧。

1.3 环境：

华为笔记本电脑、深度deepin-linux操作系统、python3.8和微软vscode编辑器。

2 city_populations.csv

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2.1 在线地址：

2.2 我喜欢离线的数据，那就下载下来。用360浏览器，打开上面的网页，复制地址，下载，新建下载，保存csv，即可。

如操作图：

2.3 打开数据看看，自动保存csv格式，不错吧。

3 用微软编辑器自带启动jupyter：

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3.1 新建一个11.py，小技巧：#%%就可以类似jupyter的一段段cell格式，并启动jupyter。

3.2 结果：

3.3 代码：

#注意代码：是带有#%%的格式，就是微软vscode自带jupyter#%%import pandas as pdimport matplotlib.pyplot as pltimport matplotlib.ticker as tickerimport matplotlib.animation as animationfrom IPython.display import HTML#%%df = pd.read_csv("data/city_populations.csv", usecols=['name', 'group', 'year', 'value'])df.head()# %%current_year = 2018dff = df[df['year'].eq(current_year)].sort_values(by='value', ascending=True).head(10)# %%fig, ax = plt.subplots(figsize=(15, 8))ax.barh(dff['name'], dff['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))ax.barh(dff['name'], dff['value'], color=[colors[group_lk[x]] for x in dff['name']])for i, (value, name) in enumerate(zip(dff['value'], dff['name'])):    ax.text(value, i,     name,            ha='right')  # Tokyo: name    ax.text(value, i-.25, group_lk[name],  ha='right')  # Asia: group name    ax.text(value, i,     value,           ha='left')   # 38194.2: valueax.text(1, 0.4, current_year, transform=ax.transAxes, size=46, ha='right')# %%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')    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)    draw_barchart(2018)# %%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()

3.4 保存动画mp4格式，由于不能保存gif格式，本文章需要gif格式，否则估计上传不了。

HTML(animator.to_jshtml()) # 备注一个，我是这么保存的，在上面的代码尾部进行修改，即可animator.save('/home/xgj/Desktop/datacsv/dd.mp4')

3.5 mp4格式转换gif格式：python代码

from moviepy.editor import *#指定路径clip=(VideoFileClip("/home/xgj/Desktop/datacsv/dd.mp4"))#指定路径clip.write_gif("/home/xgj/Desktop/datacsv/output.gif")#带有进度条的print("转换完成了")

3.6 output.gif

===自己整理并分享出来，喜欢微软编辑器的人可以这样使用jupyter===

喜欢的朋友，就请点赞、评论、转发、关注和收藏。