Python之pyecharts

柱状图

import pyecharts.charts as pyec

x = ['甲','乙','丙']
y = [300,800,600]

bar = pyec.Bar()
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y)
bar.render_notebook()

import pyecharts.options as opts
bar.set_global_opts(title_opts=opts.TitleOpts(title="比较图"))
bar.render_notebook()

#增加一个数据系列
import pyecharts.options as opts
bar.set_global_opts(title_opts=opts.TitleOpts(title="比较图"))
y1 = [1200,500,200]
bar.add_yaxis(series_name='公司B',yaxis_data=y1)
bar.render_notebook()

#变成条形图
bar.reversal_axis()
bar.render_notebook()

折线图

x1 = ['2017','2018','2019']
y1 = [300,900,600]
line = pyec.Line()
line.add_xaxis(x1)
line.add_yaxis(series_name='A',y_axis=y1)
line.render_notebook()

y2 = [1300,500,900]
line.add_yaxis(series_name='B',y_axis=y2)
bar.set_global_opts(title_opts=opts.TitleOpts(title="比较图"))
line.render_notebook()

工具箱设置

#进行该图的全局参数设置
line.set_global_opts(
        tooltip_opts = opts.TooltipOpts(trigger='axis',axis_pointer_type='cross'),
        toolbox_opts = opts.ToolboxOpts(is_show=True,orient='horizontal'))     #工具箱设置  ,垂直‘vertical’
line.render_notebook()

设置图表的大小

x1 = ['2017','2018','2019']
y1 = [300,900,600]
line = pyec.Line(init_opts = opts.InitOpts(width = '500px',height = '300px'))   #设置图表的大小
line.add_xaxis(x1)
line.add_yaxis(series_name='A',y_axis=y1)
line.render_notebook()

设置区域铺放功能

bar.set_global_opts(
        tooltip_opts = opts.TooltipOpts(trigger='axis',axis_pointer_type='cross'),
        toolbox_opts = opts.ToolboxOpts(is_show=True,orient='horizontal'),     #工具箱设置  ,垂直‘vertical’
        datazoom_opts=opts.DataZoomOpts(type_ = 'slider',range_start=(),range_end=2500))   #设置区域铺放功能  
bar.render_notebook()

饼图

x_data = ['直接访问','营销推广','博客推广','搜索引擎']
y_data = [830,214,399,1199]

data_pair = list(zip(x_data,y_data))
print(data_pair)
[('直接访问', 830), ('营销推广', 214), ('博客推广', 399), ('搜索引擎', 1199)]

pie = pyec.Pie()
pie.add(series_name='推广渠道',data_pair=data_pair)
pie.render_notebook()

函数散点图

import numpy as np

x = np.linspace(0,10,30)
y1 = np.sin(x)
y2 = np.cos(x)

scatter = pyec.Scatter()

scatter.add_xaxis(xaxis_data=x)
scatter.add_yaxis(series_name='y=sin(x)',y_axis=y1,label_opts=opts.LabelOpts(is_show=False))
scatter.add_yaxis(series_name='y=cos(x)',y_axis=y2,label_opts=opts.LabelOpts(is_show=False))

# 显示分割线
scatter.set_global_opts(
            xaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=True)),
            yaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=True)),
            visualmap_opts=opts.VisualMapOpts(min_=-1,max_=1)
        )
scatter.render_notebook()

词云

##Python之禅
import this
The Zen of Python, by Tim Peters

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!

s = """
The Zen of Python, by Tim Peters

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
"""

s = s.lower().split()
# print(s)

result={}
for i in s:
    result[i]=s.count(i)
print(result)
{'the': 6, 'zen': 1, 'of': 3, 'python,': 1, 'by': 1, 'tim': 1, 'peters': 1, 'beautiful': 1, 'is': 10, 'better': 8, 'than': 8, 'ugly.': 1, 'explicit': 1, 'implicit.': 1, 'simple': 1, 'complex.': 1, 'complex': 1, 'complicated.': 1, 'flat': 1, 'nested.': 1, 'sparse': 1, 'dense.': 1, 'readability': 1, 'counts.': 1, 'special': 2, 'cases': 1, "aren't": 1, 'enough': 1, 'to': 5, 'break': 1, 'rules.': 1, 'although': 3, 'practicality': 1, 'beats': 1, 'purity.': 1, 'errors': 1, 'should': 2, 'never': 2, 'pass': 1, 'silently.': 1, 'unless': 2, 'explicitly': 1, 'silenced.': 1, 'in': 1, 'face': 1, 'ambiguity,': 1, 'refuse': 1, 'temptation': 1, 'guess.': 1, 'there': 1, 'be': 3, 'one--': 1, 'and': 1, 'preferably': 1, 'only': 1, 'one': 2, '--obvious': 1, 'way': 2, 'do': 2, 'it.': 1, 'that': 1, 'may': 2, 'not': 1, 'obvious': 1, 'at': 1, 'first': 1, "you're": 1, 'dutch.': 1, 'now': 1, 'never.': 1, 'often': 1, '*right*': 1, 'now.': 1, 'if': 2, 'implementation': 2, 'hard': 1, 'explain,': 2, "it's": 1, 'a': 2, 'bad': 1, 'idea.': 2, 'easy': 1, 'it': 1, 'good': 1, 'namespaces': 1, 'are': 1, 'honking': 1, 'great': 1, 'idea': 1, '--': 1, "let's": 1, 'more': 1, 'those!': 1}

d = list(result.items())
d
[('the', 6),
 ('zen', 1),
 ('of', 3),
 ('python,', 1),
 ('by', 1),
 ('tim', 1),
 ('peters', 1),
 ('beautiful', 1),
 ('is', 10),
 ('better', 8),
 ('than', 8),
 ('ugly.', 1),
 ('explicit', 1),
 ('implicit.', 1),
 ('simple', 1),
 ('complex.', 1),
 ('complex', 1),
 ('complicated.', 1),
 ('flat', 1),
 ('nested.', 1),
 ('sparse', 1),
 ('dense.', 1),
 ('readability', 1),
 ('counts.', 1),
 ('special', 2),
 ('cases', 1),
 ("aren't", 1),
 ('enough', 1),
 ('to', 5),
 ('break', 1),
 ('rules.', 1),
 ('although', 3),
 ('practicality', 1),
 ('beats', 1),
 ('purity.', 1),
 ('errors', 1),
 ('should', 2),
 ('never', 2),
 ('pass', 1),
 ('silently.', 1),
 ('unless', 2),
 ('explicitly', 1),
 ('silenced.', 1),
 ('in', 1),
 ('face', 1),
 ('ambiguity,', 1),
 ('refuse', 1),
 ('temptation', 1),
 ('guess.', 1),
 ('there', 1),
 ('be', 3),
 ('one--', 1),
 ('and', 1),
 ('preferably', 1),
 ('only', 1),
 ('one', 2),
 ('--obvious', 1),
 ('way', 2),
 ('do', 2),
 ('it.', 1),
 ('that', 1),
 ('may', 2),
 ('not', 1),
 ('obvious', 1),
 ('at', 1),
 ('first', 1),
 ("you're", 1),
 ('dutch.', 1),
 ('now', 1),
 ('never.', 1),
 ('often', 1),
 ('*right*', 1),
 ('now.', 1),
 ('if', 2),
 ('implementation', 2),
 ('hard', 1),
 ('explain,', 2),
 ("it's", 1),
 ('a', 2),
 ('bad', 1),
 ('idea.', 2),
 ('easy', 1),
 ('it', 1),
 ('good', 1),
 ('namespaces', 1),
 ('are', 1),
 ('honking', 1),
 ('great', 1),
 ('idea', 1),
 ('--', 1),
 ("let's", 1),
 ('more', 1),
 ('those!', 1)]

wordcloud  = pyec.WordCloud()

wordcloud.add(series_name='',data_pair=d)
wordcloud.render_notebook()

x = ['衬衫','羊毛衫','雪纺衫','裤子','高跟鞋','袜子']
y1 = [14,16,53,25,15,61]
y2 = [42,11,52,67,72,14]
y3 = [21,51,75,35,73,15]
y4 = [61,71,13,84,34,89]

bar = pyec.Bar()
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

多种主题类型

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.DARK))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.CHALK))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.ESSOS))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.INFOGRAPHIC))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.MACARONS))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.PURPLE_PASSION))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.ROMA))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.ROMANTIC))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.SHINE))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.VINTAGE))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.WALDEN))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

bar = pyec.Bar(init_opts=opts.InitOpts(theme=ThemeType.WONDERLAND))   #设置主题类型 
bar.add_xaxis(x)
bar.add_yaxis(series_name='公司A',yaxis_data=y1)
bar.add_yaxis(series_name='公司B',yaxis_data=y2)
bar.add_yaxis(series_name='公司C',yaxis_data=y3)
bar.add_yaxis(series_name='公司D',yaxis_data=y4)

bar.render_notebook()

import datetime
import random

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

def calendar_base() -> Calendar:
    begin = datetime.date(2017, 1, 1)
    end = datetime.date(2017, 12, 31)
    data = [
        [str(begin + datetime.timedelta(days=i)), random.randint(1000, 25000)]
        for i in range((end - begin).days + 1)
    ]

    c = (
        Calendar()
        .add("", data, calendar_opts=opts.CalendarOpts(range_="2017"))
        .set_global_opts(
            title_opts=opts.TitleOpts(title="Calendar-2017年微信步数情况"),
            visualmap_opts=opts.VisualMapOpts(
                max_=20000,
                min_=500,
                orient="horizontal",
                is_piecewise=True,
                pos_top="230px",
                pos_left="100px",
            ),
        )
    )
    return c

calendar_base().render_notebook()

import pyecharts
from pyecharts.globals import ThemeType

funnel = pyecharts.charts.Funnel()
data = [('a',12),('b',21),('c',15),('d',16),('e',23)]
funnel.add('',data)
funnel.set_global_opts(title_opts=opts.TitleOpts(title="Funnel-Label（inside)"))
funnel.render_notebook()

from pyecharts.charts import Gauge
gauge = Gauge()
gauge.add('',[('aaa',33.3)])
gauge.render_notebook()