Pyecharts cultivation of the road (2)

Pyecharts

Basic Charting Example:

Pie:

brief introduction: Pie chart shows the percentage of a data series.

• Import library:

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

• InstantiationPie():

p=Pie()

• Setting data:

v1 = ['python','java','php','c','go']
v2 = [116,90,42,97,68]
v3 = [list(i) for i in zip(v1,v2)]
# data_pair 格式为 [(key1, value1), (key2, value2)]
p.add(series_name="编程语言",data_pair=v3)

• Set the color pie chart:

p.set.colors(["blue", "green", "purple", "red", "black"])

• Set the global configuration items:

p.set_global_opts(title_opts=Opts.TitleOpts(title="编程语言占比"))

• Set series configuration item (tag):
  Brief description:b: Data name,c: Data values

p.set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))

• Display Legend:

p.render_notebook()	

dash board:

• Import library:

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

• Examples of == Gauge () == size and arranged:

g = Gauge(init_opts=opts.InitOpts(width="800px", height="500px"))

• adding data:

g.add(series_name="业务指标", data_pair=[["完成率", 55.5]])

• Set global configuration items (CIs legend, prompt box configuration items):

p.set_global_opts(
		# 显示图例样件 False 不显示
        legend_opts=opts.LegendOpts(is_show=False),
        # is_show 是否显示提示框 formatter标签内容格式器,
        tooltip_opts=opts.TooltipOpts(is_show=True, formatter="{a} <br/>{b} : {c}%"),
    )
  

• Display Legend:

g.render_notebook()

Boxplot:

brief introduction: The main data comprising six nodes, a set of data in descending order, were calculated his upper edge, the upper quartile Q3, median, lower quartile Q1, a lower edge, there is a outliers.

• Guide library

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

• InstantiationBoxplot:

b = Boxplot()

• Add data into the xy axis:

# 每个箱线图的y轴数据都是以列表填充
v1 = [
      [850, 740, 900, 1070, 930, 850, 950, 980, 980, 880]
      ,[1000, 980, 930, 650, 760, 810, 1000, 1000, 960, 960],
  ]
  v2 = [
      [890, 810, 810, 820, 800, 770, 760, 740, 750, 760]
      , [910, 920, 890, 860, 880, 720, 840, 850, 850, 780],
  ]
#  添加两个x轴数据 列表形式
b.add_xaxis(["exp1","exp2"])
# 添加y轴的数据以及图例
b.add_yaxis("A", b.prepare_data(v1))
b.add_yaxis("B", b.prepare_data(v2))

• Set the global configuration items:

b.set_global_opts(title_opts=opts.TitleOpts(title="箱线图实例"))

• Display Legend:

b.render_notebook()

Multi-layered map:

Line graph and a bar graph superimposed

• Library guide:

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

• InstantiationBar()withLine():

b = Bar()
l = Line()

• Adding xy axis data provided Series Name:

v1 = [2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
v2 = [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
v3 = [2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2]
v4 = ['{:2d}月'.format(s) for s in range(1,13)]
# 设置x轴的数据
b.add_xaxis(xaxis_data=v4)
# 增加y轴数据并且设置系列名
b.add_yaxis("蒸发量",v1)
b.add_yaxis("降水量",v2)

• Extended x / y-axis, where the y-axis expansion Q (refer toglobal_options.AxisOptsConfiguration is selected in the official document global species)Axis label CI:

b.extend_axis(yaxis=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter="{value} °C"), interval=5))

• Set Series configuration items:

# 是否显示标签 这里为False 不显示标签 可以改为True查看效果
b.set_series_opts(label_opts=opts.LabelOpts(is_show=False))

• Set the global configuration items:

b.set_global_opts(
        title_opts=opts.TitleOpts(title="Overlap-bar+line"),
		yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter="{value} ml")),
    )

• Setting data line chart:

l.add_axis(v4)
#yaxis_index 使用的 y 轴的 index
l.add_yaxis(series_name="平均温度",y_axis=v3,yaxis_index=1)

• Both figures Fusion:

b.overlap(l)

• Display Legend:

b.render_notebook()

Upper and lower histogram overlay:

• Import library:

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

• InstantiationBar():

b = Bar()

• Adding x, y-axis data, and sets the stack:

v1=[1,2,3,4,5]
v2=[6,7,8,9,10]
v3=["{:2d}".format(x) for x in range(5)]
b.add_xaxis(v3)
b.add_yaxis("A",v1,stack="A")
b.add_yaxis("b",v2,stack="A")

• Set the global configuration items:

b.set_global_opts(title_opts=opts.TitleOpts(title="stack图"))

• Showing columns:

b.render_notebook()