PyEcharts | 认识图形--柱状图

普通柱状图

from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.faker import Faker
from pyecharts.globals import ThemeType

from pyecharts.globals import CurrentConfig,NotebookType
CurrentConfig.NOTEBOOK_TYPE = NotebookType.JUPYTER_LAB

c =(
    Bar()
    .add_xaxis(Faker.choose())
    .add_yaxis('商家A',Faker.values())
    .add_yaxis('商家B',Faker.values())
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title='柱形图',
            subtitle='副标题'
        )
    )
    
)
c.load_javascript()

c.render_notebook()

动画柱状图

# 带动画
c =(
    Bar(
        init_opts=opts.InitOpts(
            animation_opts=opts.AnimationOpts(
                animation_delay=1000,# 1秒钟延时
                animation_easing='elasticout' # 弹出显示
            )
        )
    )
    .add_xaxis(Faker.choose())
    .add_yaxis('商家A',Faker.values())
    .add_yaxis('商家B',Faker.values())
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title='柱形图',
            subtitle='副标题'
        )
    )
    
)
c.render_notebook()

运行后有个弹出效果的

JScode

from pyecharts.commons.utils import JsCode

# 带动画
c =(
    Bar(
        init_opts=opts.InitOpts(
            animation_opts=opts.AnimationOpts(
                animation_delay=1000,# 1秒钟延时
                animation_easing='elasticout' # 弹出显示
            ),
            bg_color={
                'image':JsCode('img'),
                'repeat':'no-repeat' # 不重复
            }
        )
    )
    .add_xaxis(Faker.choose())
    .add_yaxis('商家A',Faker.values())
    .add_yaxis('商家B',Faker.values())
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title='柱形图',
            subtitle='副标题'
        )
    )
)
c.add_js_funcs(
    '''
    var img = new Image();
    img.src="https://n.sinaimg.cn/sinacn/w640h404/20180125/8f38-fyqwiqk5126711.jpg"
    '''
)
c.render_notebook()

堆叠柱状图

c =(
    Bar()
    .add_xaxis(Faker.choose())
    .add_yaxis('商家A',Faker.values(),stack='abc')
    .add_yaxis('商家B',Faker.values(),stack='abc')
    
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title='柱形图',
            subtitle='副标题'
        ),
        # x轴旋转
        xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-45)),
        # 缩放
        datazoom_opts=[
            opts.DataZoomOpts(),# x轴拖拉缩放
            opts.DataZoomOpts(type_='inside')#鼠标滚轮缩放
        ]
    )
    
    .set_series_opts(
        label_opts=opts.LabelOpts(
            is_show=False
        )
    )
    
)
c.render_notebook()

条形图

c =(
    Bar()
    .add_xaxis(Faker.choose())
    .add_yaxis('商家A',Faker.values())
    .add_yaxis('商家B',Faker.values())
    # 轴旋转变成条形图
    .reversal_axis()
    
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title='条形图',
        ),
  
    )
    
    .set_series_opts(
        label_opts=opts.LabelOpts(
            is_show=True,
            position='right' # 数值显示在右边
        )
    )
    
)
c.render_notebook()

不同系列柱之间的间距

c =(
    Bar()
    .add_xaxis(Faker.choose())
    .add_yaxis('商家A',Faker.values(),gap='0')
    .add_yaxis('商家B',Faker.values(),gap='0')    
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title='不同系列柱之间的间距',
        ),
  
    )

    
)
c.render_notebook()

单系列柱之间的间距

c =(
    Bar()
    .add_xaxis(Faker.choose())
    .add_yaxis('商家A',Faker.values(),category_gap='0')
    # .add_yaxis('商家B',Faker.values(),gap='0')    
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title='直方图 -单系列柱之间的间距',
        ),
  
    )

    
)
c.render_notebook()

JScode 自定义柱的颜色

color_func = """
        function(params){
            if (params.value > 0 && params.value < 50){
                return 'red';
            }
            else if (params.value > 50 && params.value < 100){
                return 'green';
            }
            return 'blue';
        }
"""

c =(
    Bar()
    .add_xaxis(Faker.choose())
    .add_yaxis(
        '商家A',
        Faker.values(),
        itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_func))
    )
    .add_yaxis('商家B',Faker.values(),itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_func)) )

    .add_yaxis('商家c',Faker.values(),itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_func)) )

    
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title='直方图 -单系列柱之间的间距',
        ),
  
    )

    
)
c.render_notebook()

象形柱状图

from pyecharts import options as opts
from pyecharts.charts import PictorialBar
from pyecharts.globals import SymbolType

location=["山西","四川","西藏","北京","上海","内蒙古","云南","黑龙江","广东","福建"]
va1ues=[13,42,67,81,86,94,166,220,249,262]
c=(
    PictorialBar() 
    .add_xaxis(location)
    .add_yaxis(
        '地域',
        va1ues,
        label_opts=opts.LabelOpts(is_show=False),
        symbol=SymbolType.DIAMOND ,# 符号形状
        symbol_repeat='fixed',#重复方式
        symbol_size=15,
        is_symbol_clip=True
        
    )
    .reversal_axis()

    .set_global_opts(
        title_opts=opts.TitleOpts(
            title='象形柱状图'
        ),
        xaxis_opts=opts.AxisOpts(
            is_show=False,
            axisline_opts=opts.AxisLineOpts(is_show=False)
        ),# 不显示X轴
        yaxis_opts=opts.AxisOpts(
            axistick_opts=opts.AxisTickOpts(is_show=False),# 不显示刻度
            axisline_opts=opts.AxisLineOpts(is_show=False)
        )
    )
)
c.render_notebook()