Python Boxplot.render_notebook示例

示例#1

文件： boxplot_base.py 项目： wang0618/pywebio-chart-gallery

from pywebio.output import put_html
from pyecharts import options as opts
from pyecharts.charts import Boxplot

v1 = [
    [850, 740, 900, 1070, 930, 850, 950, 980, 980, 880, 1000, 980],
    [960, 940, 960, 940, 880, 800, 850, 880, 900, 840, 830, 790],
]
v2 = [
    [890, 810, 810, 820, 800, 770, 760, 740, 750, 760, 910, 920],
    [890, 840, 780, 810, 760, 810, 790, 810, 820, 850, 870, 870],
]
c = Boxplot()
c.add_xaxis(["expr1", "expr2"])
c.add_yaxis("A", c.prepare_data(v1))
c.add_yaxis("B", c.prepare_data(v2))
c.set_global_opts(title_opts=opts.TitleOpts(title="BoxPlot-基本示例"))
put_html(c.render_notebook())

示例#2

文件： 19-visualization-with-pyecharts.py 项目： Monicajia/mybook

from pyecharts.charts import Boxplot

v1 = [
    [850, 740, 900, 1070, 930, 850, 950, 980, 980, 880, 1000, 980],
    [960, 940, 960, 940, 880, 800, 850, 880, 900, 840, 830, 790],
]
v2 = [
    [890, 810, 810, 820, 800, 770, 760, 740, 750, 760, 910, 920],
    [890, 840, 780, 810, 760, 810, 790, 810, 820, 850, 870, 870],
]
c = Boxplot()
c.add_xaxis(["expr1", "expr2"])
c.add_yaxis("A", c.prepare_data(v1))
c.add_yaxis("B", c.prepare_data(v2))
c.set_global_opts(title_opts=opts.TitleOpts(title="BoxPlot-基本示例"))
c.render_notebook()

# ## WordCloud

# In[156]:

# vis
import pyecharts.options as opts
from pyecharts.charts import WordCloud

import jieba.analyse
import numpy as np

with open('../data/gov_reports1954-2017.txt', 'r') as f:
    reports = f.readlines()

示例#3

effect_scatter = EffectScatter()
effect_scatter.add_xaxis(Faker.choose())
effect_scatter.add_yaxis("", Faker.values(), symbol=SymbolType.ARROW)
effect_scatter.render_notebook()

# %% [markdown]
# ### Boxplot -- 箱线图

boxplot = Boxplot()
boxplot.add_xaxis(Faker.choose())
# 计算数据的最大、最小、中位、四分位数
dt1 = boxplot.prepare_data(list(zip(*[Faker.values() for i in range(20)])))
dt2 = boxplot.prepare_data(list(zip(*[Faker.values() for i in range(20)])))
boxplot.add_yaxis("cat1", dt1)
boxplot.add_yaxis("cat2", dt2)
boxplot.render_notebook()

# %% [markdown]
# ### Polar -- 极坐标

import math
data=[]
# 生成数据，满足格式`[r, \theta]`，即可以认为角度为自变量、径向为因变量
for i in range(0, 360):
    data.append([100 * math.sin(i/180 * math.pi), i])
polar = Polar()
polar.add("", data)
# 调整角度坐标轴样式
polar.add_schema(
    angleaxis_opts=opts.AngleAxisOpts(
        interval=90,