使用python绘制三维动态柱状图-pyecharts

import random
from pyecharts.faker import Faker
from pyecharts import options as opts
from pyecharts.charts import Bar3D
import pandas as pd
import numpy as np
def read_do():   #负责数据的读取和整理
    init_data=pd.read_excel("data_6_15.xlsx")
    init_data=np.array(init_data)
    data_tip=["设备出口","船舶出口","高新技术产品","一般机电产品","对外承包工程","境外投资","农产品出口","其他"]
    data_year=[2006,2007,2008,2009,2010,2011,2012,2013,2014]
    data_pre=[]

    num=0
    N=0
    for st in data_tip:
        ofr=0
        for dy in data_year:
            fuck=[st,dy,float(init_data[ofr][num])]
            data_pre.append(fuck)
            N=N+1
            ofr=ofr+1
        num=num+1
    return data_pre
def bar3d_base() -> Bar3D:
    data = read_do()
    data_tip=["设备出口","船舶出口","高新技术产品","一般机电产品","对外承包工程","境外投资","农产品出口","其他"]
    data_year=[2006,2007,2008,2009,2010,2011,2012,2013,2014]
    c = (
        Bar3D()
        .add(
            "",
            data,
            xaxis3d_opts=opts.Axis3DOpts(data_tip,type_="category",max_=8),
            yaxis3d_opts=opts.Axis3DOpts(data_year,type_="time",max_=2015),
            zaxis3d_opts=opts.Axis3DOpts(type_="value",max_=1),
            grid3d_opts=opts.Grid3DOpts(width="280",height="100")
        )
        .set_global_opts(
            visualmap_opts=opts.VisualMapOpts(max_=1),
            title_opts=opts.TitleOpts(title="按行业分的支持力度"),
        
        )
    )


    return c
abc=bar3d_base()
abc.render("index.html")

会在代码脚本文件夹生成index.html文件，在浏览器打开；效果如下：