Pyecharts数据可视化 (1)

Pyecharts入门教程

Pyecharts安装

!pip install pyecharts

导入

from pyecharts.charts import Bar
from pyecharts import options as opts

# 以下参数指定了使用Kesci提供的pyecharts_assets, 加载速度更快
bar = (
    Bar(opts.InitOpts(js_host="https://cdn.kesci.com/lib/pyecharts_assets/"))
    .add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"])
    .add_yaxis("商家A", [114, 55, 27, 101, 125, 27, 105])
    .add_yaxis("商家B", [57, 134, 137, 129, 145, 60, 49])
    .set_global_opts(
        datazoom_opts=[opts.DataZoomOpts(is_show=True)],
        title_opts=opts.TitleOpts(title="某商场销售情况")
    )
)
bar.render_notebook()

Pyecharts数据可视化 (1)

from pyecharts import options as opts
from pyecharts.globals import ThemeType
    # 导入主题:https://pyecharts.org/#/zh-cn/themes
    # .LIGHT、.DARK、.CHALK、.ESSOS、.INFOGRAPHIC、.PURPLE_PASSION ...

from pyecharts.charts import Bar
    # 导入柱状图

v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
x = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
    # 创建变量数据
    
bar = (
    Bar(opts.InitOpts(width = '1000px',height = '500px',theme=ThemeType.INFOGRAPHIC))
    .add_xaxis(x)
    .add_yaxis("商家A", v1,is_selected = True)
    .add_yaxis("商家B", v2,is_selected = True)
    .set_global_opts(
            # 设置全局参数
            title_opts = opts.TitleOpts(title="商场数据显示"), # 设置title
            xaxis_opts= opts.AxisOpts(
                splitline_opts=opts.SplitLineOpts(is_show=True)
                ),  # 设置x轴
            yaxis_opts= opts.AxisOpts(
                splitarea_opts=opts.SplitAreaOpts(is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1))
                ),  # 设置y轴
            toolbox_opts = opts.ToolboxOpts(is_show = True),  # 设置工具箱
            datazoom_opts= [opts.DataZoomOpts(range_start=10, range_end=80,is_zoom_lock=False)],   # 设置slider
        )
    .set_series_opts(
            # 设置系列配置
            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"),
                ]
            ),
        )
    )

bar.render_notebook()
    # 在线显示

Pyecharts数据可视化 (1)

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