import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from pyecharts.charts import * from pyecharts import options as opts from pyecharts.commons.utils import JsCode from pyecharts.charts import Map plt.rcParams['font.sans-serif'] = ['SimHei'] # 设置加载的字体名 #plt.rcParams['font.sans-serif'] = ['Microsoft YaHei'] plt.rcParams['axes.unicode_minus'] = True import random # pd.set_option('precision',2) pd.options.display.precision=2 import altair as alt %matplotlib inline # 14.绘制各地区每10万人口中各类受教育程度人数的堆叠条形图 df_edu['大学'] = df_edu['大学'].astype('int') / 1e3 df_edu['高中'] = df_edu['高中'].astype('int') / 1e3 df_edu['初中'] = df_edu['初中'].astype('int') / 1e3 df_edu['小学'] = df_edu['小学'].astype('int') / 1e3 df_edu['其他'] = 100-df_edu['大学'] - df_edu['高中'] - df_edu['初中'] - df_edu['小学'] df_edu.sort_values(by='大学', inplace=True) regions1=df_edu.index.tolist() university=df_edu["大学"].values.tolist() highschool=df_edu["高中"].values.tolist() junior=df_edu["初中"].values.tolist() primary=df_edu["小学"].values.tolist() other= [round(x, 2) for x in df_edu['其他'].tolist()] bar1=( Bar(init_opts=opts.InitOpts(width="900px",height="600px")) .add_xaxis(regions1) .add_yaxis("大学（含大专）",university,stack="stack1") .add_yaxis("高中（含中专）",highschool,stack="stack1") .add_yaxis("初中",junior,stack="stack1") .add_yaxis("小学",primary,stack="stack1") .add_yaxis("其他",other,stack="stack1") .set_series_opts(label_opts=opts.LabelOpts(is_show=True,position="inside")) .set_global_opts(title_opts=opts.TitleOpts(title= "各省区每10万人口中的各类受教育程度"), legend_opts=opts.LegendOpts(pos_left="right")) .reversal_axis() ) bar1.render_notebook()解释此代码为何在jupyter notebook 中可以运行却无法显示图片