python 使用pyecharts绘制折线图 |
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python 使用pyecharts绘制折线图
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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
import re import pyecharts.options as opts from pyecharts.charts import Line import pymongo mongo = 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(width="1600px", height="800px")) .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 weatherInfoCollection current = 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['times'] + "({})".format(weather['wpics']) + " " + weather['winfs']) tems.append(re.findall(r'\d+', weather['tems'])[0]) winls.append(re.findall(r'\d+', weather['winls'])[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。 |
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