Pandas+Pyecharts | 2022 Fortune 500 データ分析の視覚化

bar = ( Bar(init_opts=opts.InitOpts(width='1000px', height='1000px',bg_color='#0d0735')) .add_xaxis(x_data) .add_yaxis("",y_data) .set_series_opts(label_opts=opts.LabelOpts(position="right", font_size=12, font_weight='bold', formatter='{c} 家'), ) .set_global_opts( xaxis_opts=opts.AxisOpts(is_show=False,), yaxis_opts=opts.AxisOpts( axislabel_opts=opts.LabelOpts(font_size=13,color='#fff200'), axistick_opts=opts.AxisTickOpts(is_show=False), axisline_opts=opts.AxisLineOpts(is_show=False) ), title_opts=opts.TitleOpts(title="各国世界500强企业数量排名",pos_left='center',pos_top='1%', title_textstyle_opts=opts.TextStyleOpts(font_size=22,color="#38d9a9")), visualmap_opts=opts.VisualMapOpts(is_show=False, min_=20, max_=150, is_piecewise=False, dimension=0, range_color=['#203fb6', '#008afb', '#ffec4a', '#ff6611', '#f62336'] ), ) .reversal_axis() )

p = ( Polar(init_opts=opts.InitOpts(width='1000px', height='800px', bg_color='#0d0735')) .add_schema( radiusaxis_opts=opts.RadiusAxisOpts(data=x_data[-8:], type_='category'), angleaxis_opts=opts.AngleAxisOpts( is_clockwise=True, is_scale=True, max_=150, axislabel_opts=opts.LabelOpts(font_size=14, color='#fff200'), axisline_opts=opts.AxisLineOpts(is_show=True,linestyle_opts=opts.LineStyleOpts( width=2,type_='dashed',color='#e4e932')), splitline_opts=opts.SplitLineOpts(is_show=True, linestyle_opts=opts.LineStyleOpts(type_='dashed', color='#9FC131') ), ), ) .add('',y_data[-8:], type_='bar') .set_global_opts( title_opts=opts.TitleOpts(title='各国世界500强企业数量排名TOP8',subtitle='制图@公众号：Python当打之年',pos_left='center',pos_top='1%', title_textstyle_opts=opts.TextStyleOpts(color='#38d9a9',font_size=20) ), visualmap_opts=opts.VisualMapOpts(max_=150, is_show = False, is_piecewise=True, split_number = 8, min_ = 10, range_color=['#203fb6', '#008afb', '#ffec4a', '#ff6611', '#f62336'] ), ) )

m1 = ( Map(init_opts=opts.InitOpts(width='1000px', height='500px',theme='dark',bg_color='#0d0735')) .add('公司数量', region_data, "world", is_map_symbol_show=False, is_roam=False, ) .set_series_opts(label_opts=opts.LabelOpts(is_show=False)) .set_global_opts( legend_opts=opts.LegendOpts(is_show=False), visualmap_opts=opts.VisualMapOpts(is_show=True, max_=150, min_=0, is_piecewise=True, split_number=10, pos_top='50%', pos_left='10%', range_color=['#9ecae1','#6baed6','#4292c6','#2171b5','#08519c','#08306b','#d4b9da','#c994c7','#df65b0','#e7298a','#ce1256','#980043','#67001f'] ), ) )

wd = WordCloud(init_opts=opts.InitOpts(width='1000px',height='600px',theme='dark',bg_color='#0d0735')) wd.add('', [list(z) for z in zip(x_data, y_data)], ) wd.set_global_opts( title_opts=opts.TitleOpts( title=""), tooltip_opts=opts.TooltipOpts(is_show=True), ) wd.render_notebook()