Pyecharts绘图

news2024/12/23 14:32:26

文章目录

柱状图
折线图
饼图
组合图

柱状图

数据示例

#柱状图
from pyecharts.charts import Bar
from pyecharts import options as opts
#去掉警告信息
import pyecharts
pyecharts.globals._WarningControl.ShowWarning = False
# 数据
cate =t1['行政区'].tolist()
data1 = t1['单价'].tolist()

# 1.x版本支持链式调用
bar = (Bar()
       .add_xaxis(cate)
       .add_yaxis('单价', data1)
       .set_global_opts(title_opts=opts.TitleOpts(title="北京市各区二手房价格（中位数）", subtitle=""),\
            xaxis_opts=opts.AxisOpts(axislabel_opts={"rotate":45}),\
            yaxis_opts=opts.AxisOpts(is_show=True,name="元/平米",is_inverse=False))
        .set_series_opts(label_opts=opts.LabelOpts(is_show=True),
                    markline_opts=opts.MarkLineOpts(data=[opts.MarkLineItem(y=100000, name="10w"),opts.MarkLineItem(y=90000, name="9w"),\
                                                         opts.MarkLineItem(y=20000, name="2w"),opts.MarkLineItem(y=40000, name="4w"),\
                                                         opts.MarkLineItem(y=60000, name="6w")])) 
        )
bar.render_notebook()

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折线图

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#折线图
from pyecharts.charts import Bar,Line
from pyecharts import options as opts
# 数据
cate =t3['行政区'].tolist()
data1 = t3['年份'].tolist()

# 1.x版本支持链式调用
line= (Line()
       .add_xaxis(cate)
       .add_yaxis('建成年份', data1)
       .extend_axis(
            yaxis=opts.AxisOpts(
                axislabel_opts=opts.LabelOpts(formatter="{value}层"), interval=2
            ))
       .set_global_opts(title_opts=opts.TitleOpts(title="北京市各区二手房建成年份和总楼层（中位数）", subtitle=""),\
            xaxis_opts=opts.AxisOpts(axislabel_opts={"rotate":45}),\
            yaxis_opts=opts.AxisOpts(is_show=True,name="",min_=1990,max_=2023,is_inverse=False, axislabel_opts=opts.LabelOpts(formatter="{value}年"), interval=1))
       )

line.render_notebook()

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饼图

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#饼图
from pyecharts.charts import Pie
from pyecharts import options as opts

# 数据
cate = t1['布局'].tolist()
data1 =t1['房源数'].tolist()
pie = (Pie()
       .add('房源数', [list(z) for z in zip(cate, data1)],
            radius=["30%", "75%"],
            rosetype="radius")
       .set_global_opts(title_opts=opts.TitleOpts(title="户型分布", subtitle=""))
       .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {d}%"))
      )

pie.render_notebook()

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组合图

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#组合图
from pyecharts.charts import Bar,Line
from pyecharts import options as opts
# 数据
cate =t3['行政区'].tolist()
data1 = t3['年份'].tolist()
data2 = t3['总楼层'].tolist()

# 1.x版本支持链式调用
line = (Line()
       .add_xaxis(cate)
       .add_yaxis('建成年份', data1)
       .extend_axis(
            yaxis=opts.AxisOpts(
                axislabel_opts=opts.LabelOpts(formatter="{value}层"), interval=2
            ))
       .set_global_opts(title_opts=opts.TitleOpts(title="北京市各区二手房建成年份和总楼层（中位数）", subtitle=""),\
            xaxis_opts=opts.AxisOpts(axislabel_opts={"rotate":45}),\
            yaxis_opts=opts.AxisOpts(is_show=True,name="",min_=1990,max_=2023,is_inverse=False, axislabel_opts=opts.LabelOpts(formatter="{value}年"), interval=1))
       )


bar = Bar()
bar.add_xaxis(cate).add_yaxis("总楼层", data2, yaxis_index=1)
line.overlap(bar)
line.render_notebook()

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