Pyecharts折线图绘制以及图片生成

最新推荐文章于 2024-01-12 23:25:10 发布

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最新推荐文章于 2024-01-12 23:25:10 发布

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文章标签： python echarts

本文链接：https://blog.youkuaiyun.com/Cynthialy_/article/details/127689327

版权

本文通过Python的PyEcharts库实现从Excel文件中读取数据，并将其转换为时间序列数据可视化图表，包括2020年至2022年的每日数据对比。

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# -*- coding: utf-8 -*-

import xlrd
import numpy as np
import pandas as pd
from pyecharts import options as opts
from pyecharts.faker import Faker
from pyecharts.charts import Line
from pyecharts.charts import Sankey
from pyecharts.render import make_snapshot
from snapshot_selenium import snapshot

excel_data = pd.read_excel("data1.xls")
l = (
    Line(init_opts=opts.InitOpts(width='7000px', height='400px'))
    .add_xaxis(xaxis_data=excel_data["time"].tolist())
    .add_yaxis(series_name='2020', y_axis=excel_data["2020data"].tolist())


    .add_yaxis(series_name='2021', y_axis=excel_data["2021data"].tolist())
    .add_yaxis(series_name='2022', y_axis=excel_data["2022data"].tolist())
    .set_global_opts(
        xaxis_opts=opts.AxisOpts(
            name='time',
            name_location='middle',
            name_gap=1,
            name_textstyle_opts=opts.TextStyleOpts(
                font_family='Times New Roman',
                font_size=15,
            ),
        ),
        yaxis_opts=opts.AxisOpts(
            name='Daily_Data',
            name_location='middle',
            name_gap=50,
            name_textstyle_opts=opts.TextStyleOpts(
                font_family='Times New Roman',
                font_size=15,
            ),
            axistick_opts=opts.AxisTickOpts(
                is_inside=True,  
            ),
            axislabel_opts=opts.LabelOpts(
                font_size=12,
                font_family='Times New Roman',
            ),
        ),

    )
)
l.render("data.html")

make_snapshot(snapshot,l.render(), "data.png")