01 3D柱狀圖

from pyecharts.charts import Bar3D
from pyecharts import options as opts
from pyecharts.faker import Faker
from pyecharts.globals import ThemeType
import random
bar3d = Bar3D(init_opts=opts.InitOpts(
    theme=ThemeType.PURPLE_PASSION,
    width='1200px',
    height='720px'))
data = [(i,j,random.randint(0,12)) for i in range(20) for j in range(6)]
bar3d.add(
    '3D柱形圖',
    data,
    xaxis3d_opts=opts.Axis3DOpts(Faker.clock,type_='category'),
    yaxis3d_opts=opts.Axis3DOpts(Faker.week_en,type_='category'),
    zaxis3d_opts=opts.Axis3DOpts(type_='value')
)
bar3d.set_global_opts(
    visualmap_opts=opts.VisualMapOpts(max_=20),
    title_opts=opts.TitleOpts(title='Bar3D-柱形圖')
)
bar3d.render('3D柱形圖.html')
print('生成成功')

01動(dòng)態(tài)散點(diǎn)圖

from pyecharts.faker import Faker
from pyecharts.charts import EffectScatter
import pyecharts.options as opts
from pyecharts.globals import SymbolType

effect_scatter = EffectScatter()
effect_scatter.add_xaxis(Faker.choose())
effect_scatter.add_yaxis(
    '散點(diǎn)圖',
    Faker.values(),
    symbol=SymbolType.DIAMOND
)
effect_scatter.set_global_opts(title_opts=opts.TitleOpts(title='EffectScatter-散點(diǎn)圖'))
effect_scatter.render('動(dòng)態(tài)散點(diǎn)圖.html')
print('生成成功')

01數(shù)據(jù)可視化柱形圖

from pyecharts.charts import Bar
bar = Bar()
x = ['葡萄','橘子','香蕉','榴蓮','蘋果','梨']
y = [123,32,56,99,210,100]
bar.add_xaxis(x)
bar.add_yaxis('水果',y)
bar.render('柱狀圖.html')
print("執(zhí)行成功")

01餅圖

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

pie = Pie()

#pie.add('餅圖',[list(z) for z in zip(Faker.choose(),Faker.values())])
#pie.set_global_opts(title_opts=opts.TitleOpts(title='Pie-餅圖'))
#pie.set_series_opts(label_opts=opts.LabelOpts(formatter=':{c}'))

pie.add(
    '餅圖',
    [list(z) for z in zip(Faker.choose(),Faker.values())],
    radius=['40%','75%'], # radius 表示內(nèi)環(huán)和外環(huán)半徑，列表類型
    # rosetype設(shè)置玫瑰餅圖模式, area所有扇區(qū)圓心角相同，僅通過(guò)半徑展現(xiàn)數(shù)據(jù)大小
    rosetype='area'
)

pie.set_global_opts(title_opts=opts.TitleOpts(title='Pie-餅圖'))
pie.set_series_opts(label_opts=opts.LabelOpts(formatter=':{c}'))

pie.render('玫瑰餅圖.html')
print("生成成功")

02折線圖

from pyecharts.faker import Faker
from pyecharts.charts import Line
import pyecharts.options as opts

line = Line()
line.add_xaxis(Faker.choose())
# is_smooth 是否讓折線變平滑
line.add_yaxis('商家A',Faker.values(),is_smooth=True)
line.add_yaxis('商家B',Faker.values())
line.set_global_opts(title_opts=opts.TitleOpts(title='折線圖'))
line.render('折線圖.html')
print('生成成功')

02漏斗圖

from pyecharts.faker import Faker
from pyecharts.charts import Funnel
import pyecharts.options as opts
from pyecharts.globals import SymbolType

funnel = Funnel()
funnel.add(
    '用戶轉(zhuǎn)化率',
    [list(z) for z in zip(Faker.choose(),Faker.values())],
    label_opts=opts.LabelOpts(position='inside')
)
funnel.set_global_opts(title_opts=opts.TitleOpts(title="Funnel-漏斗圖"))
funnel.render('漏斗圖.html')
print('生成成功')

02鏈?zhǔn)秸{(diào)用

from pyecharts.charts import Bar
x = ['葡萄','橘子','香蕉','榴蓮','蘋果','梨']
y = [123,32,56,99,210,100]
Bar().add_xaxis(x).add_yaxis('水果',y).render('鏈?zhǔn)秸{(diào)用.html')
print("執(zhí)行成功")

03地理坐標(biāo)系

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

geo = Geo(init_opts=opts.InitOpts(
    theme=ThemeType.PURPLE_PASSION,
    width='1600px',
    height='800px'))
geo.add_schema(maptype='china')
geo.add('geo',
        [list(z) for z in zip(Faker.provinces,Faker.values())],
        type_='heatmap'
        )
geo.set_global_opts(
    visualmap_opts=opts.VisualMapOpts(),
    title_opts=opts.TitleOpts(title='Geo-地圖')
)
geo.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
geo.render('地圖.html')
print("生成成功")

03填充漸變折線圖

from pyecharts.faker import Faker
from pyecharts.charts import Line
import pyecharts.options as opts

line = Line()
line.add_xaxis(Faker.choose())
# is_smooth 是否讓折線變平滑
line.add_yaxis('商家A',
               Faker.values(),
               is_smooth=True,
               areastyle_opts=opts.AreaStyleOpts(
                   opacity=0.2,
                   color={
                       'type':'linear',
                       'x':0,
                       'y':0,
                       'x2':0,
                       'y2':1,
                       'colorStops':[{
                           'offset':0,'color':'red'},
                           {'offset':1,'color':'blue'
                       }]
                   }
               )
               )
line.add_yaxis('商家B',Faker.values())
line.set_global_opts(title_opts=opts.TitleOpts(title='折線圖'))
line.render('漸變折線圖.html')
print('生成成功')

添加標(biāo)題

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

bar = Bar()
x = ['葡萄','橘子','香蕉','榴蓮','蘋果','梨']
y = [123,32,56,99,210,100]
bar.add_xaxis(x)
bar.add_yaxis('水果',y)
bar.set_global_opts(title_opts=opts.TitleOpts(title='水果數(shù)量',
                                              subtitle='副標(biāo)題'))
bar.render('添加標(biāo)題.html')
print("執(zhí)行成功")

更改尺寸

from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType
bar = Bar(init_opts=opts.InitOpts(
    theme=ThemeType.PURPLE_PASSION,
    width='1920px',
    height='1080px'))
x = ['葡萄','橘子','香蕉','榴蓮','蘋果','梨']
y = [123,32,56,99,210,100]
bar.add_xaxis(x)
bar.add_yaxis('水果',y)
bar.set_global_opts(title_opts=opts.TitleOpts(title='水果數(shù)量',subtitle='副標(biāo)題'))
bar.render('圖表尺寸.html')
print("執(zhí)行成功")

水球圖

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

liquid = Liquid()
# is_outline_show 是否顯示外邊框
# is_animation 是否顯示動(dòng)畫效果
# shape 邊框形狀，和symbol可用的形狀類似，還可以自定義
liquid.add('水球圖',[0.7,0.6,0.5])
liquid.set_global_opts(title_opts=opts.TitleOpts(title='Liquid-水球圖'))
liquid.render('水球圖.html')
print('成功創(chuàng)建')

旋轉(zhuǎn)X軸標(biāo)簽

from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType
bar = Bar(init_opts=opts.InitOpts(
    theme=ThemeType.PURPLE_PASSION,
    width='1000px',
    height='720px'))
x = ['葡萄','橘子','香蕉','榴蓮','蘋果','梨']
y = [123,32,56,99,210,100]
bar.add_xaxis(x)
bar.add_yaxis('水果',y)
bar.set_global_opts(title_opts=opts.TitleOpts(
    title='水果數(shù)量',
    subtitle='副標(biāo)題'),
    xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=30)))# -90°到90°
bar.render('旋轉(zhuǎn)x軸.html')
print("執(zhí)行成功")

雷達(dá)圖

from pyecharts.charts import Radar
import pyecharts.options as opts
from pyecharts.globals import ThemeType
radar = Radar(init_opts=opts.InitOpts(
    theme=ThemeType.PURPLE_PASSION,
    width='1700px',
    height='800px'))
v1 = [
    [4300,31560,28000,25626,19000,15000],
    [3300,30000,26000,25000,17000,16000]
]
v2 = [[5000,14000,25000,19000,35000,18000]]
radar.add_schema(
    schema=[
        opts.RadarIndicatorItem(name='銷售',max_=6500),
        opts.RadarIndicatorItem(name='管理',max_=16000),
        opts.RadarIndicatorItem(name='信息技術(shù)',max_=9900),
        opts.RadarIndicatorItem(name='客服',max_=6900),
        opts.RadarIndicatorItem(name='研發(fā)',max_=18000),
        opts.RadarIndicatorItem(name='市場(chǎng)',max_=12600)
    ]
)
radar.add('預(yù)算分配',v1)
radar.add('實(shí)際開(kāi)銷',v2)
radar.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
radar.set_global_opts(title_opts=opts.TitleOpts(title='Radar-雷達(dá)圖'))
radar.render('雷達(dá)圖.html')
print('生成成功')

傳入兩組數(shù)據(jù)

from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType
# 設(shè)置圖表大小
bar = Bar(init_opts=opts.InitOpts(
    theme=ThemeType.PURPLE_PASSION,
    width='1000px',
    height='720px'))
x = ['葡萄','橘子','香蕉','榴蓮','蘋果','梨']
y1 = [123,32,56,99,210,100]
y2 = [100,132,46,69,90,120]
bar.add_xaxis(x)
bar.add_yaxis('水果1',y1)
bar.add_yaxis('水果2',y2)
# 將數(shù)據(jù)堆疊在一起，可以將兩兩數(shù)據(jù)進(jìn)行堆疊,用stack方法
#bar.add_yaxis('水果1',y1,stack='stack1')
#bar.add_yaxis('水果2',y2,stack='stack1')

bar.set_global_opts(title_opts=opts.TitleOpts(
    title='水果數(shù)量',
    subtitle='副標(biāo)題'))

bar.render('兩組數(shù)據(jù).html')
print("執(zhí)行成功")

詞云圖

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

words = [
    ('Sam S Club',10000),
    ('Macys',6000),
    ('Amy Schumer',4300),
    ('Beautifully',5000),
    ('Congratulations',6500),
    ('Jurassic',4500),
    ('Love',5500),
    ('Honorable',3900),
    ('King',4800),
]
wordcloud = WordCloud()
wordcloud.add('詞云圖',words,word_size_range=[20,100])
wordcloud.set_global_opts(title_opts=opts.TitleOpts(title='WordCloud-詞云圖'))
wordcloud.render('詞云圖.html')
print('生成成功')

07圖表標(biāo)記點(diǎn)和標(biāo)記線

from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType
# 設(shè)置圖表大小
bar = Bar(init_opts=opts.InitOpts(
    theme=ThemeType.PURPLE_PASSION,
    width='1000px',
    height='720px'))
x = ['葡萄','橘子','香蕉','榴蓮','蘋果','梨']
y1 = [123,32,56,99,210,100]
y2 = [100,132,46,69,90,120]
bar.add_xaxis(x)
bar.add_yaxis('水果1',y1)
bar.add_yaxis('水果2',y2)
# 設(shè)置標(biāo)題
bar.set_global_opts(title_opts=opts.TitleOpts(
    title='水果數(shù)量',
    subtitle='副標(biāo)題'))
# 設(shè)置標(biāo)記點(diǎn)和標(biāo)記線
bar.set_series_opts(
    label_opts=opts.LabelOpts(is_show=False),
    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.MarkPointItem(type_='average',name='平均值')]
        )
    )
# x軸與y軸互換
#bar.reversal_axis()
bar.render('標(biāo)記點(diǎn)和標(biāo)記線.html')
print("執(zhí)行成功")

08窗口滑塊

from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType
# 設(shè)置圖表大小
bar = Bar(init_opts=opts.InitOpts(
    theme=ThemeType.PURPLE_PASSION,
    width='1000px',
    height='720px'))
x = ['葡萄','橘子','香蕉','榴蓮','蘋果','梨']
y1 = [123,32,56,99,210,100]
y2 = [100,132,46,69,90,120]
bar.add_xaxis(x)
bar.add_yaxis('水果1',y1)
bar.add_yaxis('水果2',y2)
# 設(shè)置標(biāo)題
bar.set_global_opts(
    title_opts=opts.TitleOpts(
        title='水果數(shù)量',
        subtitle='副標(biāo)題'),
    # 設(shè)置窗口滑塊
    datazoom_opts=[opts.DataZoomOpts()]
    )
# 設(shè)置標(biāo)記點(diǎn)和標(biāo)記線
bar.set_series_opts(
    label_opts=opts.LabelOpts(is_show=False),
    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.MarkPointItem(type_='average',name='平均值')]
        )
    )
bar.render('窗口滑塊.html')
print("執(zhí)行成功")

echarts_option_query

import re
import asyncio
from aiohttp import TCPConnector, ClientSession
import pyecharts.options as opts
from pyecharts.charts import TreeMap

async def get_json_data(url: str) -> dict:
    async with ClientSession(connector=TCPConnector(ssl=False)) as session:
        async with session.get(url=url) as response:
            return await response.json()

# 獲取官方的數(shù)據(jù)
data = asyncio.run(
    get_json_data(
        url="https://echarts.apache.org/examples/data/asset/data/ec-option-doc-statistics-201604.json"
    )
)
tree_map_data: dict = {"children": []}

def convert(source, target, base_path: str):
    for key in source:
        if base_path != "":
            path = base_path + "." + key
        else:
            path = key
        if re.match(r"/^\$/", key):
            pass
        else:
            child = {"name": path, "children": []}
            target["children"].append(child)
            if isinstance(source[key], dict):
                convert(source[key], child, path)
            else:
                target["value"] = source["$count"]

convert(source=data, target=tree_map_data, base_path="")
(
    TreeMap(init_opts=opts.InitOpts(width="1900px", height="720px"))
    .add(
        series_name="option",
        data=tree_map_data["children"],
        visual_min=300,
        leaf_depth=1,
        # 標(biāo)簽居中為 position = "inside"
        label_opts=opts.LabelOpts(position="inside"),
    )
    .set_global_opts(
        legend_opts=opts.LegendOpts(is_show=False),
        title_opts=opts.TitleOpts(
            title="Echarts 配置項(xiàng)查詢分布", subtitle="2020/9", pos_left="leafDepth"
        ),
    )
    .render("echarts_option_query.html")
)

graph_weibo

import json
from pyecharts import options as opts
from pyecharts.charts import Graph

with open("weibo.json", "r", encoding="utf-8") as f:
    j = json.load(f)
    nodes, links, categories, cont, mid, userl = j
    print(nodes, links, categories, cont, mid, userl)
c = (
    Graph(init_opts=opts.InitOpts(width='1700px',height='820px'))
    .add(
        "",
        nodes,
        links,
        categories,
        repulsion=50,
        linestyle_opts=opts.LineStyleOpts(curve=0.2),
        label_opts=opts.LabelOpts(is_show=False),
    )
    .set_global_opts(
        legend_opts=opts.LegendOpts(is_show=False),
        title_opts=opts.TitleOpts(title="Graph-微博轉(zhuǎn)發(fā)關(guān)系圖"),
    )
    .render("graph_weibo1.html")
)
print("=================創(chuàng)建成功===================")

rain

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

# 確定再現(xiàn)性的隨機(jī)狀態(tài)
np.random.seed(19680801)

# 創(chuàng)建新圖形和填充它的軸
fig = plt.figure(figsize=(7, 7))
ax = fig.add_axes([0, 0, 1, 1], frameon=False)
ax.set_xlim(0, 1), ax.set_xticks([])
ax.set_ylim(0, 1), ax.set_yticks([])

# 創(chuàng)建雨水?dāng)?shù)據(jù)
n_drops = 50
rain_drops = np.zeros(n_drops, dtype=[('position', float, 2),
                                      ('size',     float, 1),
                                      ('growth',   float, 1),
                                      ('color',    float, 4)])

# 在隨機(jī)位置初始化雨滴
# 隨機(jī)增長(zhǎng)率
rain_drops['position'] = np.random.uniform(0, 1, (n_drops, 2))
rain_drops['growth'] = np.random.uniform(50, 200, n_drops)

# 構(gòu)建我們將在動(dòng)畫期間更新的散射
# 隨雨滴發(fā)展
scat = ax.scatter(rain_drops['position'][:, 0], rain_drops['position'][:, 1],
                  s=rain_drops['size'], lw=0.5, edgecolors=rain_drops['color'],
                  facecolors='none')


def update(frame_number):
    # 得到一個(gè)索引，我們可以用來(lái)重新生成雨滴。
    current_index = frame_number % n_drops

    # 隨著時(shí)間的推移，使所有顏色更加透明。
    rain_drops['color'][:, 3] -= 1.0/len(rain_drops)
    rain_drops['color'][:, 3] = np.clip(rain_drops['color'][:, 3], 0, 1)

    # 把所有的圓圈變大
    rain_drops['size'] += rain_drops['growth']

    # 為雨滴選擇一個(gè)新的位置，重置其大小
    # 顏色
    rain_drops['position'][current_index] = np.random.uniform(0, 1, 2)
    rain_drops['size'][current_index] = 5
    rain_drops['color'][current_index] = (0, 0, 0, 1)
    rain_drops['growth'][current_index] = np.random.uniform(50, 200)

    # 使用新的顏色、大小和位置更新散布集合
    scat.set_edgecolors(rain_drops['color'])
    scat.set_sizes(rain_drops['size'])
    scat.set_offsets(rain_drops['position'])


# 構(gòu)造動(dòng)畫，使用更新函數(shù)作為動(dòng)畫
animation = FuncAnimation(fig, update, interval=10)
plt.show()

temperature_change_line_chart

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

week_name_list = ["周一", "周二", "周三", "周四", "周五", "周六", "周日"]
high_temperature = [11, 11, 15, 13, 12, 13, 10]
low_temperature = [1, -2, 2, 5, 3, 2, 0]

(
    Line(init_opts=opts.InitOpts(width='1600px',height='620px'))
    .add_xaxis(xaxis_data=week_name_list)
    .add_yaxis(
        series_name="最高氣溫",
        y_axis=high_temperature,
        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")]
        ),
    )
    .add_yaxis(
        series_name="最低氣溫",
        y_axis=low_temperature,
        markpoint_opts=opts.MarkPointOpts(
            data=[opts.MarkPointItem(value=-2, name="周最低", x=1, y=-1.5)]
        ),
        markline_opts=opts.MarkLineOpts(
            data=[
                opts.MarkLineItem(type_="average", name="平均值"),
                opts.MarkLineItem(symbol="none", x="90%", y="max"),
                opts.MarkLineItem(symbol="circle", type_="max", name="最高點(diǎn)"),
            ]
        ),
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(title="未來(lái)一周氣溫變化", subtitle="純屬虛構(gòu)"),
        tooltip_opts=opts.TooltipOpts(trigger="axis"),
        toolbox_opts=opts.ToolboxOpts(is_show=True),
        xaxis_opts=opts.AxisOpts(type_="category", boundary_gap=False),
    )
    .render("temperature_change_line_chart.html")
)
print("="*50)

動(dòng)態(tài)曲線圖

import numpy as np
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d.axes3d as p3
import matplotlib.animation as animation

def Gen_RandLine(length, dims=2):
    # 使用隨機(jī)游走算法創(chuàng)建一條直線。長(zhǎng)度是直線的點(diǎn)數(shù)。dims是線的尺寸。
    lineData = np.empty((dims, length))
    lineData[:, 0] = np.random.rand(dims)   # 初始化起點(diǎn)
    for index in range(1, length):
        step = ((np.random.rand(dims) - 0.5) * 0.12)  # 步長(zhǎng)
        # 下一步的位置
        lineData[:, index] = lineData[:, index - 1] + step
    return lineData   # 返回一個(gè)shape為（3,25）的數(shù)組,3維坐標(biāo)25幀

def update_lines(num, dataLines, lines):
    for line, data in zip(lines, dataLines):
        line.set_data(data[0:2, :num])
        line.set_3d_properties(data[2, :num])
    return lines

fig = plt.figure()
ax = p3.Axes3D(fig)
# 長(zhǎng)為50的數(shù)組，每個(gè)元素為shape為3,25的ndarray，最后實(shí)際效果就是50條路徑
data = [Gen_RandLine(25, 3) for index in range(50)]

lines = [ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1])[0] for dat in data] # 每條路徑的起始點(diǎn)

ax.set_xlim3d([0.0, 1.0])
ax.set_xlabel('X')
ax.set_ylim3d([0.0, 1.0])
ax.set_ylabel('Y')
ax.set_zlim3d([0.0, 1.0])
ax.set_zlabel('Z')
ax.set_title('3D Test')
line_ani = animation.FuncAnimation(fig, update_lines, 25, fargs=(data, lines),interval=50, blit=False)
 
plt.show()
print("="*50)

動(dòng)態(tài)直線

import matplotlib.pyplot as plt 
import matplotlib.animation as animation 
import numpy as np 
plt.style.use('dark_background')
 
fig = plt.figure() 
ax = plt.axes(xlim=(-50, 50), ylim=(-50, 50)) 
line, = ax.plot([], [], lw=2) 
 
# 初始化函數(shù)
def init(): 
    # 創(chuàng)建空打印/幀
    line.set_data([], []) 
    return line,
# 存儲(chǔ)x軸和y軸點(diǎn)的列表
xdata, ydata = [], []
def ghostImage(x,y):
    xdata.append(x)
    ydata.append(y)
    if len(xdata)>60:
        del xdata[0]
        del ydata[0]
    return xdata,ydata

def animate(i):
    t = i/100.0
    x = 40*np.sin(2*2*np.pi*(t+0.3)) 
    y = 40*np.cos(3*2*np.pi*t) 
    
    # 將新點(diǎn)附加到x、y軸點(diǎn)列表
    line.set_data(ghostImage(x,y)) 
    return line, 
    
# 繪圖標(biāo)題設(shè)置
plt.title('Creating a Lissajous figure with matplotlib') 
# 隱藏軸細(xì)節(jié)
plt.axis('off')

anim = animation.FuncAnimation(fig, animate,init_func=init,frames=400, interval=20, blit=True)
# 將動(dòng)畫另存為gif文件
anim.save('figure.gif',writer='imagemagick') 

旋轉(zhuǎn)line3D

import math
from pyecharts import options as opts
from pyecharts.charts import Line3D
from pyecharts.faker import Faker
data = []
for t in range(0, 25000):
    _t = t / 1000
    x = (1 + 0.25 * math.cos(75 * _t)) * math.cos(_t)
    y = (1 + 0.25 * math.cos(75 * _t)) * math.sin(_t)
    z = _t + 2.0 * math.sin(75 * _t)
    data.append([x, y, z])
c = (
    Line3D(init_opts=opts.InitOpts(width='1600px',height='620px'))
    .add(
        "",
        data,
        xaxis3d_opts=opts.Axis3DOpts(Faker.clock, type_="value"),
        yaxis3d_opts=opts.Axis3DOpts(Faker.week_en, type_="value"),
        grid3d_opts=opts.Grid3DOpts(
            width=100, depth=100, rotate_speed=150, is_rotate=True
        ),
    )
    .set_global_opts(
        visualmap_opts=opts.VisualMapOpts(
            max_=30, min_=0, range_color=Faker.visual_color
        ),
        title_opts=opts.TitleOpts(title="Line3D-旋轉(zhuǎn)的彈簧"),
    )
    .render("line3d_autorotate.html")
)
print("=========================生成成功============================")

詞云圖

import jieba
from matplotlib import pyplot as plt
from wordcloud import WordCloud
from PIL import Image
import numpy as np
#r''單引號(hào)里面不需要轉(zhuǎn)義
path = r'D:\pycharm\test1\進(jìn)階篇\素材'
font = r'C:\Windows\Fonts\SIMKAI.TTF'#電腦自帶的字體
def tcg(texts):
    cut = jieba.cut(texts)  #分詞
    string = ' '.join(cut)
    return string
text = (open(path+r'./cloud.txt','r',encoding='utf-8')).read()
string=tcg(text)
img = Image.open(path+r'./1.png') #打開(kāi)圖片
img_array = np.array(img) #將圖片裝換為數(shù)組
stopword=['']  #設(shè)置停止詞，也就是你不想顯示的詞
wc = WordCloud(
    background_color='white',
    width=1000,
    height=800,
    mask=img_array, #設(shè)置背景圖片
    font_path=font,
    stopwords=stopword
)
wc.generate_from_text(string)#繪制圖片
plt.imshow(wc)
plt.axis('off')
plt.show()  #顯示圖片
wc.to_file(path+'./beautifulcloud.png')  #保存圖片