pyecharts-12-涟漪图和日历图

皮大大

发布于 2021-03-01 05:26:53

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代码可运行

文章被收录于专栏：机器学习/数据可视化机器学习/数据可视化

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代码可运行

Pyecharts-12-涟漪散点图+日历图

本文中介绍的是如何利用pyecharts来绘制涟漪散点图和日历图，本文是自己依照官网的整理和学习，具体例子请移步至官网

导入库

from pyecharts.globals import CurrentConfig, OnlineHostType   # 事先导入，防止不出图
from pyecharts import options as opts
from pyecharts.charts import EffectScatter,Calendar  # 涟漪散点图+日历图
from pyecharts.faker import Faker
from pyecharts.commons.utils import JsCode
from pyecharts.globals import ThemeType
from pyecharts.globals import SymbolType

import datetime
import random
import pandas as pd
import numpy as np

涟漪图-EffectScatter

基本案例

c = (
    EffectScatter()
    .add_xaxis(df['子类'].tolist())  # x轴数据
    .add_yaxis("", df['数据'].tolist())  # y轴数据
    .set_global_opts(title_opts=opts.TitleOpts(title="EffectScatter-月度开支"))
)

c.render_notebook()

显示坐标分割线

c = (
    EffectScatter()
    .add_xaxis(df['子类'].tolist())  # x轴数据
    .add_yaxis("", df['数据'].tolist())  # y轴数据
    .set_global_opts(
        title_opts=opts.TitleOpts(title="EffectScatter-显示分割线"),
        xaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=True)),
        yaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=True)),
    )
)

c.render_notebook()

不同标识

c = (
    EffectScatter()
    .add_xaxis(df['子类'].tolist())  # x轴数据
    .add_yaxis("", df['数据'].tolist(),symbol=SymbolType.ARROW)  # y轴数据+标识符
    .set_global_opts(title_opts=opts.TitleOpts(title="EffectScatter-月度开支"))
)

c.render_notebook()

日历图-Calendar

datetime模块使用

关于时间模块的使用，参考之前的文章：3大时间序列

基本案例

begin = datetime.date(2019, 1, 1)
end = datetime.date(2019, 12, 31)
data = [
    [str(begin + datetime.timedelta(days=i)), random.randint(2000, 20000)]
    for i in range((end - begin).days + 1)
]

c = (
    Calendar()
    .add("", data, calendar_opts=opts.CalendarOpts(range_="2019"))   # 添加数据并且指定年份
    .set_global_opts(
        title_opts=opts.TitleOpts(title="Calendar-2019年微信步数情况"),
        visualmap_opts=opts.VisualMapOpts(
            max_=20000,  # 指定数据范围
            min_=500,
            orient="horizontal",
            is_piecewise=True,
            pos_top="230px",
            pos_left="100px",
        ),
    )
)

c.render_notebook()

Label变成中文

begin = datetime.date(2019, 1, 1)
end = datetime.date(2019, 12, 31)
data = [
    [str(begin + datetime.timedelta(days=i)), random.randint(2000, 20000)]
    for i in range((end - begin).days + 1)
]

c = (
    Calendar()
    .add(
        "",
        data,
        calendar_opts=opts.CalendarOpts(
            range_="2019",
            daylabel_opts=opts.CalendarDayLabelOpts(name_map="cn"),
            monthlabel_opts=opts.CalendarMonthLabelOpts(name_map="cn"),
        ),
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(title="Calendar-2019年微信步数情况(中文 Label)"),
        visualmap_opts=opts.VisualMapOpts(
            max_=20000,
            min_=500,
            orient="horizontal",
            is_piecewise=True,
            pos_top="230px",
            pos_left="100px",
        ),
    )
)
c.render_notebook()