PyEcharts 直角坐标系图表之箱形图

第1关：Boxplot：箱形图（一）

from PreTest import *
from pyecharts import options as opts
from pyecharts.render import make_snapshot
from snapshot_phantomjs import snapshot

from pyecharts.charts import Boxplot


data1 = [
    [850, 740, 900, 1070, 930, 850, 950, 980, 980, 880, 1000, 980],
    [960, 940, 960, 940, 880, 800, 850, 880, 900, 840, 830, 790],
]
data2 = [
    [890, 810, 810, 820, 800, 770, 760, 740, 750, 760, 910, 920],
    [890, 840, 780, 810, 760, 810, 790, 810, 820, 850, 870, 870],
]


def boxplot_chart() -> Boxplot:
    # ********* Begin *********#  
    boxplot = (
        Boxplot()
        .add_xaxis(["expr1", "expr2"])
        .add_yaxis("A",Boxplot.prepare_data(data1))
        .add_yaxis("B",Boxplot.prepare_data(data2))
        .set_global_opts(
            title_opts=opts.TitleOpts(title="BoxPlot-基本示例")
        )

        

    )
    # ********** End **********#
    return boxplot

make_snapshot(snapshot, boxplot_chart().render("Result/render.html"), 'StudentAnswer/student_answer.png') # 输出图片
make_snapshot(snapshot, boxplot_base(data1, data2).render(), "StandardAnswer/task1/standard_answer_1.png")

 第2关：Boxplot：箱形图（二）

from PreTest import *
from pyecharts import options as opts
from pyecharts.render import make_snapshot
from snapshot_phantomjs import snapshot

from pyecharts.charts import Boxplot
from pyecharts.commons.utils import JsCode
import json

with open("data.json", "r", encoding="utf-8") as f:
    data = json.load(f)

axis_data = [
    "0",
    "1",
    "2",
    "3",
    "4",
    "5",
    "6",
    "7",
    "8",
    "9",
    "10",
    "11",
    "12",
    "13",
    "14",
    "15",
    "16",
    "17",
]


def boxplot_chart() -> Boxplot:
    # ********* Begin *********#  
    boxplot = (
        Boxplot(init_opts=opts.InitOpts(width="1600px", height="800px"))
    .add_xaxis(xaxis_data=axis_data)
    .add_yaxis(
        series_name="category0",
        y_axis=data[0]["boxData"],
        tooltip_opts=opts.TooltipOpts(
            formatter=JsCode(
                """function(param) { return [
                            'Experiment ' + param.name + ': ',
                            'upper: ' + param.data[0],
                            'Q1: ' + param.data[1],
                            'median: ' + param.data[2],
                            'Q3: ' + param.data[3],
                            'lower: ' + param.data[4]
                        ].join('<br/>') }"""
            )
        ),
    )
    .add_yaxis(
        series_name="category1",
        y_axis=data[1]["boxData"],
        tooltip_opts=opts.TooltipOpts(
            formatter=JsCode(
                """function(param) { return [
                            'Experiment ' + param.name + ': ',
                            'upper: ' + param.data[0],
                            'Q1: ' + param.data[1],
                            'median: ' + param.data[2],
                            'Q3: ' + param.data[3],
                            'lower: ' + param.data[4]
                        ].join('<br/>') }"""
            )
        ),
    )
    .add_yaxis(
        series_name="category2",
        y_axis=data[2]["boxData"],
        tooltip_opts=opts.TooltipOpts(
            formatter=JsCode(
                """function(param) { return [
                            'Experiment ' + param.name + ': ',
                            'upper: ' + param.data[0],
                            'Q1: ' + param.data[1],
                            'median: ' + param.data[2],
                            'Q3: ' + param.data[3],
                            'lower: ' + param.data[4]
                        ].join('<br/>') }"""
            )
        ),
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(title="Multiple Categories", pos_left="center"),
        legend_opts=opts.LegendOpts(pos_top="3%"),
        tooltip_opts=opts.TooltipOpts(trigger="item", axis_pointer_type="shadow"),
        xaxis_opts=opts.AxisOpts(
            name_gap=30,
            boundary_gap=True,
            splitarea_opts=opts.SplitAreaOpts(
                areastyle_opts=opts.AreaStyleOpts(opacity=1)
            ),
            axislabel_opts=opts.LabelOpts(formatter="expr {value}"),
            splitline_opts=opts.SplitLineOpts(is_show=False),
        ),
        yaxis_opts=opts.AxisOpts(
            type_="value",
            min_=-400,
            max_=600,
            splitarea_opts=opts.SplitAreaOpts(is_show=False),
        ),
        datazoom_opts=[
            opts.DataZoomOpts(type_="inside", range_start=0, range_end=20),
            opts.DataZoomOpts(type_="slider", xaxis_index=0, is_show=True),
        ],
    ))
    # ********** End **********#
    return boxplot

make_snapshot(snapshot, boxplot_chart().render("Result/render.html"), "StudentAnswer/student_answer.png") # 输出图片
make_snapshot(snapshot, boxplot_multiple(axis_data, data).render(), "StandardAnswer/task2/standard_answer_2.png")