python使用pyecharts绘制折线图

根据上篇搞到数据，绘制当天天气折线图。

也可以修改下改成Html解析数据然后组合数据放到图上就可以啦。

pyecharts文档：https://gallery.pyecharts.org/#/Line/temperature_change_line_chart

一、无图无真相

 二、代码

import re
import pyecharts.options as opts
from pyecharts.charts import Line
import pymOngomongo= pymongo.MongoClient(host="localHost", port=27017) # 连接数据库
db = mongo["python"] # 获取数据库
weatherInfoCollection = db["weather_info"]def draw_line(times, tems, winls, city):(Line(init_opts=opts.InitOpts(, )).add_xaxis(xaxis_data=times).add_yaxis(series_name="气温",y_axis=tems,markpoint_opts=opts.MarkLineOpts(data=[opts.MarkLineItem(type_="max", name="最高温度"),opts.MarkLineItem(type_="min", name="最低温度")])).add_yaxis(series_name="风向等级",y_axis=winls,markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(value=-2, name="周最低", x=1, y=-1.5)]), ).set_global_opts(title_opts=opts.TitleOpts(title=city + "今天天气"),tooltip_opts=opts.TooltipOpts(trigger="axis"),toolbox_opts=opts.ToolboxOpts(is_show=True),xaxis_opts=opts.AxisOpts(type_="category", boundary_gap=False),).render("temperature_change_line_chart.html"))def select(city):global weatherInfoCollectiOncurrent= weatherInfoCollection.find_one({"address": city})return current["weather"]if __name__ == "__main__":times = []tems = []winfs = []winls = []wpics = []print("输入省份：")city = input()weathers = select(city)for weather in weathers:print(weather)times.append(weather[&＃39;times&＃39;] + "({})".format(weather[&＃39;wpics&＃39;]) + " " + weather[&＃39;winfs&＃39;])tems.append(re.findall(r&＃39;\d+&＃39;, weather[&＃39;tems&＃39;])[0])winls.append(re.findall(r&＃39;\d+&＃39;, weather[&＃39;winls&＃39;])[0])draw_line(times, tems, winls, city)


 超级简单就是从数据库查询数据然后给图表赋值，charts文档写的很清楚了，根据需要选择对应的图就可以啦。