目录
第1关：Line：折线图（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 Line
x_data = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
y_data = [820, 932, 901, 934, 1290, 1330, 1320]
def line_chart() -> Line:
# ********* Begin *********#
line = (
Line()
.add_xaxis(x_data)
.add_yaxis("",y_data,symbol='emptyCircle',is_symbol_show=True,label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
tooltip_opts=opts.TooltipOpts(is_show=False),
xaxis_opts=opts.AxisOpts(
type_="category"
),
yaxis_opts=opts.AxisOpts(
type_="value",
axistick_opts=opts.AxisTickOpts(is_show=True),
splitline_opts=opts.SplitLineOpts(is_show=True)
),
)
)
# ********** End **********#
return line
make_snapshot(snapshot, line_chart().render("Result/render.html"), 'StudentAnswer/student_answer.png') # 输出图片
make_snapshot(snapshot, line_base(x_data, y_data).render(), "StandardAnswer/task1/standard_answer_1.png")
第2关：Line：折线图（二）
from PreTest import *
from pyecharts import options as opts
from pyecharts.faker import Faker
from pyecharts.render import make_snapshot
from snapshot_phantomjs import snapshot
from pyecharts.charts import Line
data_x = Faker.choose()
data_y_1 = Faker.values()
data_y_2 = Faker.values()
def line_chart() -> Line:
# ********* Begin *********#
line = (
Line()
.add_xaxis(data_x)
.add_yaxis("商家A",data_y_1)
.add_yaxis("商家B",data_y_2)
.set_global_opts(
title_opts=opts.TitleOpts(title="Line-面积图")
)
.set_series_opts(
areastyle_opts=opts.AreaStyleOpts(opacity=0.5)
)
)
# ********** End **********#
return line
make_snapshot(snapshot, line_chart().render("Result/render.html"), "StudentAnswer/student_answer.png") # 输出图片
make_snapshot(snapshot, line_area_style(data_x, data_y_1, data_y_2).render(), "StandardAnswer/task2/standard_answer_2.png")
第3关：Line：折线图（三）
from PreTest import *
from pyecharts import options as opts
from pyecharts.render import make_snapshot
from snapshot_phantomjs import snapshot
from pyecharts.charts import Line
from pyecharts.faker import Faker
data_x = Faker.choose()
data_y = Faker.values()
def line_chart() -> Line:
# ********* Begin *********#
line = (
Line()
.add_xaxis(data_x)
.add_yaxis(
"商家A",
data_y,
symbol_size=20,
symbol='triangle',
linestyle_opts=opts.LineStyleOpts(width=4,type_='dashed',color='green'),
itemstyle_opts=opts.ItemStyleOpts(border_width=3,border_color="yellow",color='blue')
)
.set_global_opts(
title_opts=opts.TitleOpts(title="Line-ItemStyle")
)
)
# ********** End **********#
return line
make_snapshot(snapshot, line_chart().render("Result/render.html"), 'StudentAnswer/student_answer.png') # 输出图片
make_snapshot(snapshot, line_itemstyle(data_x, data_y).render(), "StandardAnswer/task3/standard_answer_3.png")
第4关：Line：折线图（四）
from PreTest import *
from pyecharts import options as opts
from pyecharts.render import make_snapshot
from snapshot_phantomjs import snapshot
from pyecharts.charts import Line
x_data = ["一", "二", "三", "四", "五", "六", "七", "八", "九"]
y_data_3 = [1, 3, 9, 27, 81, 247, 741, 2223, 6669]
y_data_2 = [1, 2, 4, 8, 16, 32, 64, 128, 256]
y_data_05 = [1 / 2, 1 / 4, 1 / 8, 1 / 16, 1 / 32, 1 / 64, 1 / 128, 1 / 256, 1 / 512]
def line_chart() -> Line:
# ********* Begin *********#
line = (
Line(init_opts=opts.InitOpts(width="1600px", height="800px"))
.add_xaxis(xaxis_data=x_data)
.add_yaxis(
series_name="1/2的指数",
y_axis=y_data_05,
linestyle_opts=opts.LineStyleOpts(width=2),
)
.add_yaxis(
series_name="2的指数", y_axis=y_data_2, linestyle_opts=opts.LineStyleOpts(width=2)
)
.add_yaxis(
series_name="3的指数", y_axis=y_data_3, linestyle_opts=opts.LineStyleOpts(width=2)
)
.set_global_opts(
title_opts=opts.TitleOpts(title="对数轴示例", pos_left="center"),
tooltip_opts=opts.TooltipOpts(trigger="item", formatter="{a} <br/>{b} : {c}"),
legend_opts=opts.LegendOpts(pos_left="left"),
xaxis_opts=opts.AxisOpts(type_="category", name="x"),
yaxis_opts=opts.AxisOpts(
type_="log",
name="y",
splitline_opts=opts.SplitLineOpts(is_show=True),
is_scale=True,
),
)
)
# ********** End **********#
return line
make_snapshot(snapshot, line_chart().render("Result/render.html"), 'StudentAnswer/student_answer.png') # 输出图片
make_snapshot(snapshot, line_log_axis(x_data, y_data_05, y_data_2, y_data_3).render(), "StandardAnswer/task4/standard_answer_4.png")
第5关：Line：折线图（五）
from PreTest import *
from pyecharts import options as opts
from pyecharts.render import make_snapshot
from snapshot_phantomjs import snapshot
from pyecharts.commons.utils import JsCode
from pyecharts.charts import Line
js_formatter = """function (params) {
console.log(params);
return '降水量 ' + params.value + (params.seriesData.length ? '：' + params.seriesData[0].data : '');
}"""
data_x_1 = [
"2016-1",
"2016-2",
"2016-3",
"2016-4",
"2016-5",
"2016-6",
"2016-7",
"2016-8",
"2016-9",
"2016-10",
"2016-11",
"2016-12",
]
data_x_2 = [
"2015-1",
"2015-2",
"2015-3",
"2015-4",
"2015-5",
"2015-6",
"2015-7",
"2015-8",
"2015-9",
"2015-10",
"2015-11",
"2015-12",
]
def line_chart() -> Line:
# ********* Begin *********#
line = (
Line(init_opts=opts.InitOpts(width="1600px", height="800px"))
.add_xaxis(data_x_1)
.extend_axis(
xaxis_data=data_x_2,
xaxis=opts.AxisOpts(
type_="category",
axistick_opts=opts.AxisTickOpts(is_align_with_label=True),
axisline_opts=opts.AxisLineOpts(
is_on_zero=False, linestyle_opts=opts.LineStyleOpts(color="#6e9ef1")
),
axispointer_opts=opts.AxisPointerOpts(
is_show=True, label=opts.LabelOpts(formatter=JsCode(js_formatter))
),
),
)
.add_yaxis(
series_name="2015 降水量",
is_smooth=True,
symbol="emptyCircle",
is_symbol_show=False,
# xaxis_index=1,
color="#d14a61",
y_axis=[2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3],
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=2),
)
.add_yaxis(
series_name="2016 降水量",
is_smooth=True,
symbol="emptyCircle",
is_symbol_show=False,
color="#6e9ef1",
y_axis=[3.9, 5.9, 11.1, 18.7, 48.3, 69.2, 231.6, 46.6, 55.4, 18.4, 10.3, 0.7],
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=2),
)
.set_global_opts(
legend_opts=opts.LegendOpts(),
tooltip_opts=opts.TooltipOpts(trigger="none", axis_pointer_type="cross"),
xaxis_opts=opts.AxisOpts(
type_="category",
axistick_opts=opts.AxisTickOpts(is_align_with_label=True),
axisline_opts=opts.AxisLineOpts(
is_on_zero=False, linestyle_opts=opts.LineStyleOpts(color="#d14a61")
),
axispointer_opts=opts.AxisPointerOpts(
is_show=True, label=opts.LabelOpts(formatter=JsCode(js_formatter))
),
),
yaxis_opts=opts.AxisOpts(
type_="value",
splitline_opts=opts.SplitLineOpts(
is_show=True, linestyle_opts=opts.LineStyleOpts(opacity=1)
),
),
)
)
# ********** End **********#
return line
make_snapshot(snapshot, line_chart().render("Result/render.html"), 'StudentAnswer/student_answer.png') # 输出图片
make_snapshot(snapshot, line_multiple_x_axis(data_x_1, data_x_2, js_formatter).render(), "StandardAnswer/task5/standard_answer_5.png")
第6关：Line：折线图（六）
from PreTest import *
from pyecharts import options as opts
from pyecharts.render import make_snapshot
from snapshot_phantomjs import snapshot
from pyecharts.charts import Line
x_data = [
"00:00",
"01:15",
"02:30",
"03:45",
"05:00",
"06:15",
"07:30",
"08:45",
"10:00",
"11:15",
"12:30",
"13:45",
"15:00",
"16:15",
"17:30",
"18:45",
"20:00",
"21:15",
"22:30",
"23:45",
]
y_data = [
300,
280,
250,
260,
270,
300,
550,
500,
400,
390,
380,
390,
400,
500,
600,
750,
800,
700,
600,
400,
]
def line_chart() -> Line:
# ********* Begin *********#
line = (
Line(init_opts=opts.InitOpts(width="1600px", height="800px"))
.add_xaxis(x_data)
.add_yaxis(
series_name="用电量",
y_axis=y_data,
is_smooth=True,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=2),
)
.set_global_opts(
title_opts=opts.TitleOpts(title="一天用电量分布", subtitle="纯属虚构"),
tooltip_opts=opts.TooltipOpts(trigger="axis", axis_pointer_type="cross"),
xaxis_opts=opts.AxisOpts(boundary_gap=False),
yaxis_opts=opts.AxisOpts(
axislabel_opts=opts.LabelOpts(formatter="{value} W"),
splitline_opts=opts.SplitLineOpts(is_show=True),
),
visualmap_opts=opts.VisualMapOpts(
is_piecewise=True,
dimension=0,
pieces=[
{"lte": 6, "color": "green"},
{"gt": 6, "lte": 8, "color": "red"},
{"gt": 8, "lte": 14, "color": "green"},
{"gt": 14, "lte": 17, "color": "red"},
{"gt": 17, "color": "green"},
],
),
)
.set_series_opts(
markarea_opts=opts.MarkAreaOpts(
data=[
opts.MarkAreaItem(name="早高峰", x=("07:30", "10:00")),
opts.MarkAreaItem(name="晚高峰", x=("17:30", "21:15")),
]
)
)
)
# ********** End **********#
return line
make_snapshot(snapshot, line_chart().render("Result/render.html"), 'StudentAnswer/student_answer.png') # 输出图片
make_snapshot(snapshot, line_distribution_of_electricity(x_data, y_data).render(), "StandardAnswer/task6/standard_answer_6.png")
第7关：Line：折线图（七）
from PreTest import *
from pyecharts import options as opts
from pyecharts.render import make_snapshot
from snapshot_phantomjs import snapshot
from pyecharts.charts import Line
from pyecharts.faker import Faker
week_name_list = ["周一", "周二", "周三", "周四", "周五", "周六", "周日"]
high_temperature = [11, 11, 15, 13, 12, 13, 10]
low_temperature = [1, -2, 2, 5, 3, 2, 0]
def line_chart() -> Line:
# ********* Begin *********#
line = (
Line(init_opts=opts.InitOpts(width="1600px", height="800px"))
.add_xaxis(xaxis_data=week_name_list)
.add_yaxis(
series_name="最高气温",
y_axis=high_temperature,
markpoint_opts=opts.MarkPointOpts(
data=[
opts.MarkPointItem(type_="max", name="最大值"),
opts.MarkPointItem(type_="min", name="最小值"),
]
),
markline_opts=opts.MarkLineOpts(
data=[opts.MarkLineItem(type_="average", name="平均值")]
),
)
.add_yaxis(
series_name="最低气温",
y_axis=low_temperature,
markpoint_opts=opts.MarkPointOpts(
data=[opts.MarkPointItem(value=-2, name="周最低", x=1, y=-1.5)]
),
markline_opts=opts.MarkLineOpts(
data=[
opts.MarkLineItem(type_="average", name="平均值"),
opts.MarkLineItem(symbol="none", x="90%", y="max"),
opts.MarkLineItem(symbol="circle", type_="max", name="最高点"),
]
),
)
.set_global_opts(
title_opts=opts.TitleOpts(title="未来一周气温变化", subtitle="纯属虚构"),
tooltip_opts=opts.TooltipOpts(trigger="axis"),
toolbox_opts=opts.ToolboxOpts(is_show=True),
xaxis_opts=opts.AxisOpts(type_="category", boundary_gap=False),
)
)
# ********** End **********#
return line
make_snapshot(snapshot, line_chart().render("Result/render.html"), 'StudentAnswer/student_answer.png') # 输出图片
make_snapshot(snapshot, line_temperature_change(week_name_list, high_temperature, low_temperature).render(), "StandardAnswer/task7/standard_answer_7.png")
第8关：Line：折线图（八）
from PreTest import *
from pyecharts import options as opts
from pyecharts.render import make_snapshot
from snapshot_phantomjs import snapshot
from pyecharts.charts import Line
x_data = ["周一", "周二", "周三", "周四", "周五", "周六", "周日"]
y_data_1 = [120, 132, 101, 134, 90, 230, 210]
y_data_2 = [220, 182, 191, 234, 290, 330, 310]
y_data_3 = [150, 232, 201, 154, 190, 330, 410]
y_data_4 = [320, 332, 301, 334, 390, 330, 320]
y_data_5 = [820, 932, 901, 934, 1290, 1330, 1320]
def line_chart() -> Line:
# ********* Begin *********#
line = (
Line()
.add_xaxis(xaxis_data=x_data)
.add_yaxis(
series_name="邮件营销",
stack="总量",
y_axis=[120, 132, 101, 134, 90, 230, 210],
areastyle_opts=opts.AreaStyleOpts(opacity=0.5),
label_opts=opts.LabelOpts(is_show=False),
)
.add_yaxis(
series_name="联盟广告",
stack="总量",
y_axis=[220, 182, 191, 234, 290, 330, 310],
areastyle_opts=opts.AreaStyleOpts(opacity=0.5),
label_opts=opts.LabelOpts(is_show=False),
)
.add_yaxis(
series_name="视频广告",
stack="总量",
y_axis=[150, 232, 201, 154, 190, 330, 410],
areastyle_opts=opts.AreaStyleOpts(opacity=0.5),
label_opts=opts.LabelOpts(is_show=False),
)
.add_yaxis(
series_name="直接访问",
stack="总量",
y_axis=[320, 332, 301, 334, 390, 330, 320],
areastyle_opts=opts.AreaStyleOpts(opacity=0.5),
label_opts=opts.LabelOpts(is_show=False),
)
.add_yaxis(
series_name="搜索引擎",
stack="总量",
y_axis=[820, 932, 901, 934, 1290, 1330, 1320],
areastyle_opts=opts.AreaStyleOpts(opacity=0.5),
label_opts=opts.LabelOpts(is_show=True, position="top"),
)
.set_global_opts(
title_opts=opts.TitleOpts(title="堆叠区域图"),
tooltip_opts=opts.TooltipOpts(trigger="axis", axis_pointer_type="cross"),
yaxis_opts=opts.AxisOpts(
type_="value",
axistick_opts=opts.AxisTickOpts(is_show=True),
splitline_opts=opts.SplitLineOpts(is_show=True),
),
xaxis_opts=opts.AxisOpts(type_="category", boundary_gap=False),
)
)
# ********** End **********#
return line
make_snapshot(snapshot, line_chart().render("Result/render.html"), 'StudentAnswer/student_answer.png') # 输出图片
make_snapshot(snapshot, line_stacked_area(x_data, y_data_1, y_data_2, y_data_3, y_data_4, y_data_5).render(), "StandardAnswer/task8/standard_answer_8.png")