import gradio as gr import pygal import requests import pandas as pd import pandas_bokeh import matplotlib.pyplot as plt,mpld3 import seaborn as sns import bokeh.plotting as bk from bokeh.embed import json_item from highcharts import Highchart import pyecharts from pyecharts.charts import Bar import cufflinks as cf import plotly.offline cf.go_offline() cf.set_config_file(offline=True, world_readable=True) #from pyg2plot import Plot #plt.rcParams['font.sans-serif']=['SimHei'] #plt.rcParams['axes.unicode_minus']=False def pd_bar(): pd.options.plotting.backend='matplotlib' plt.close('all') df = pd.DataFrame({'课程':['语文', '数学', '英语'], '成绩':[66, 98, 78]}) ax = df.plot(x='课程',y='成绩',kind='bar',title='chinese word error!', color=["red","green","purple"]) ax.table(cellText=df.values,colLabels=df.columns,loc='bottom',colLoc='center') return ax.get_figure() #plt def plt_line(): plt.close('all') df = pd.DataFrame({'课程':['yw', 'sx', 'yy'], '成绩':[66, 98, 100]}) plt.plot(df['成绩'],color='green',linestyle='dashed',marker='o',markerfacecolor='blue',markersize=20) return plt.gcf() def pd_plotly(): pd.options.plotting.backend='plotly' df = pd.DataFrame({'课程':['语文', '数学', '英语'], '成绩':[66, 98, 78]}) ax = df.plot.bar(x='课程',y='成绩') return ax #plt def pd_bokeh(): pd.set_option('plotting.backend','pandas_bokeh') pandas_bokeh.output_file("test.html") df=pd.DataFrame({'班级':['天','地','玄','黄'],'姓名':['诸葛清明','公孙轩辕','李耳','石破天'],'成绩':[66,78,99,85]}) tt=df.plot_bokeh.bar(x='姓名',y='成绩',ylabel="群员吹水战绩",title="吹牛逼你们是认真的",alpha=0.6,figsize=(600,300),show_figure=False,legend="bottom_right") pandas_bokeh.save(tt) p = bk.figure(plot_width=400,plot_height=400) p.patch([1,2,3,4,5],[6,7,8,7,3],alpha=0.5,line_width=2) item_text = json_item(p, "plotDiv") return 'test.html',item_text def pyecharts1(): bar = Bar() bar.add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]) bar.add_yaxis("商家A", [5, 20, 36, 10, 75, 90]) bar.render('test.html') with open('test.html',"r",encoding="utf-8") as aa: bb=aa.read() return 'test.html',bb def cff(): df=pd.DataFrame([[0.2,0.4,0.6],[0.4,0.3,0.4],[0.4,0.5,0.2],[0.5,0.4,0.4]],columns=['a','b','c']) cfft=df.iplot(kind='bubble',x='a',y='b',size='c') return cfft def seab(): df = pd.DataFrame({'a': range(10), 'b': [1,3,1,4,5,2,0,5,8,5]}) g=sns.relplot(x="a", y="b", kind="line", data=df) return plt def pyg2(): return '' #def pyg2plot_chart(): # bar = Plot("Column") # bar.set_options({"height": 600,"width":800,"data": [{ "年": "2001", "销量": 3 },{ "年": "2002", "销量": 4 },{ "年": "2003", "销量": 5.5 },{"年": "2004", "销量": 7 },{ "年": "2005", "销量": 8.9 },{ "年": "2006", "销量": 10}],"xField": "年","yField": "销量","label": {}}) # return bar.render_html() def pyhighchats(): H = Highchart() data = list(range(1,20)) H.add_data_set(data,'line') H.save_file('test.html') return 'test.html' def d3_js(): fig=plt.figure() obj,=plt.plot([3,1,4,1,5]) rr=mpld3.fig_to_html(fig) return rr def pygalc(): aa=pygal.Bar()(1,3,3,7)(1,6,6,4) bb=aa.render(is_unicode=True) cc=aa.render_data_uri() aa.render_to_file("test.svg") return 'test.svg',bb,cc,bb demo=gr.Blocks() with demo: gr.Markdown("#