先給大家展現給不一樣得東西看看。
導包# 匯入options配置項from pyecharts import options as opts# 匯入柱狀圖，時間軸from pyecharts.charts import Bar,Timeline# 匯入Faker隨機生成標籤from pyecharts.faker import Faker# 使用random隨機生成數值import randomphone=Faker.phonestl = Timeline()# 寫一個時間軸函式def timeline_bar() -> Timeline: for i in range(2015, 2020): data1=random.sample(range(0, 100), 7) data2=random.sample(range(0, 100), 7) bar=Bar() bar.add_xaxis(phone) bar.add_yaxis('A店',data1) bar.add_yaxis('B店',data2) bar.set_global_opts(title_opts=opts.TitleOpts(title='手機{}年銷售量'.format(i),subtitle='A、B兩門店對比')) tl.add(bar, "{}年".format(i)) return tltimeline_bar().render_notebook()tl = Timeline()def timeline_bar() -> Timeline: for i in range(2015, 2020): data1=random.sample(range(10, 100), 7) data2=random.sample(range(10, 100), 7) bar=(Bar() .add_xaxis(phone) .add_yaxis('A店',data1) .add_yaxis('B店',data2) .set_global_opts(title_opts=opts.TitleOpts(title='手機{}年銷售量'.format(i),subtitle='A、B兩門店對比'), legend_opts=opts.LegendOpts(is_show=True) ) .set_series_opts(label_opts=opts.LabelOpts(is_show=True), markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_='max',name='最大值')]), markline_opts=opts.MarkLineOpts(data=[opts.MarkPointItem(type_='min',name='最小值')]) ) ) tl.add(bar, "{}年".format(i)) return tl timeline_bar().render_notebook()效果
變換之後得效果展示tl = Timeline()def timeline_bar() -> Timeline: for i in range(2015, 2020): data1=random.sample(range(10, 100), 7) data2=random.sample(range(10, 100), 7) bar=(Bar() .add_xaxis(phone) .add_yaxis('A店',data1,stack="stack1", category_gap="50%") .add_yaxis('B店',data2, stack="stack1", category_gap="50%") .set_global_opts(title_opts=opts.TitleOpts(title='手機{}年銷售量'.format(i),subtitle='A、B兩門店對比'), legend_opts=opts.LegendOpts(is_show=True), ) .set_series_opts(label_opts=opts.LabelOpts(is_show=True), markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_='max',name='最大值')]), markline_opts=opts.MarkLineOpts(data=[opts.MarkPointItem(type_='min',name='最小值')]) ) .reversal_axis() ) tl.add(bar, "{}年".format(i)) return tl timeline_bar().render_notebook()tl = Timeline()def timeline_bar() -> Timeline: for i in range(2015, 2020): data1=random.sample(range(10, 100), 7) data2=random.sample(range(10, 100), 7) bar=(Bar() .add_xaxis(phone) .add_yaxis('A店',data1,stack="stack1", category_gap="50%") .add_yaxis('B店',data2, stack="stack1", category_gap="50%") .set_global_opts(title_opts=opts.TitleOpts(title='手機{}年銷售量'.format(i),subtitle='A、B兩門店對比'), legend_opts=opts.LegendOpts(is_show=True), ) .set_series_opts(label_opts=opts.LabelOpts(is_show=True), markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_='max',name='最大值')]), markline_opts=opts.MarkLineOpts(data=[opts.MarkPointItem(type_='min',name='最小值')]) ) ) tl.add(bar, "{}年".format(i)) return tl timeline_bar().render_notebook()給大家介紹一位新朋友！！！
# 匯入3D柱狀圖的包from pyecharts.charts import Bar3D# 隨機生成x.y.z軸資料phone=Faker.phonesdays =Faker.week_endata = [(i, j, random.randint(0,20)) for i in range(7) for j in range(7)]bar3d=Bar3D(init_opts=opts.InitOpts(width="1500px", height="500px"))bar3d.add( series_name="", data=data, xaxis3d_opts=opts.Axis3DOpts(type_="category", data=phone), yaxis3d_opts=opts.Axis3DOpts(type_="category", data=days), zaxis3d_opts=opts.Axis3DOpts(type_="value"), )bar3d.set_global_opts( visualmap_opts=opts.VisualMapOpts( max_=25 ) )bar3d.render_notebook()細心地小夥伴今天可能已經發現了，我們的程式碼是用鏈式法寫的，這樣的簡便寫法大家嘗試一下
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