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Visualization | Share another set of Flask+Pyecharts visualization template 2

Release: 2023-08-09 16:05:08
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In this issue, I will share with you a set of ## suitable for beginners #<Flask Pyecharts Visual Template 2><span style="color: rgb(221, 0, 0);text-decoration: underline;outline: 0px;font-weight: 700;font-size: inherit;"></span>, I hope it will be helpful to you. If you have any questions or areas that need improvement, you can send a private message to the editor.

Let’s take a look at the effect first:
Visualization | Share another set of Flask+Pyecharts visualization template 2

##Introduction to each sub-interface:
## ?️‍? 1. System description interface

?️‍? 2. Bar chart sample interface
Code:
##
def get_bar():
    x_data = df[&#39;排名&#39;].values.tolist()
    y_data = df[&#39;时长(s)&#39;].values.tolist()
    bar = (
        Bar()
            .add_xaxis(x_data)
            .add_yaxis(
                &#39;数量1&#39;,
                y_data,
                label_opts=opts.LabelOpts(is_show=False)
            )
            .set_global_opts(
                legend_opts=opts.LegendOpts(
                    textstyle_opts=opts.TextStyleOpts(color=&#39;rgba(255,255,255,.5)&#39;,font_size=12)
                ),
                tooltip_opts=opts.TooltipOpts(
                    is_show=True, trigger="axis", axis_pointer_type="cross"
                ),
                xaxis_opts=opts.AxisOpts(
                    axislabel_opts=opts.LabelOpts(font_size=12, color="rgba(255,255,255,.6)"),
                    axistick_opts=opts.AxisTickOpts(is_show=False),
                ),
                yaxis_opts=opts.AxisOpts(
                    axislabel_opts=opts.LabelOpts(font_size=12, color="rgba(255,255,255,.6)"),
                    axistick_opts=opts.AxisTickOpts(is_show=False),
                )
        )
    )
    title = "视频时长"
    return bar, title
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Visualization | Share another set of Flask+Pyecharts visualization template 2


#?️‍? 3. Scatter plot example interface

Visualization | Share another set of Flask+Pyecharts visualization template 2


##?️‍? 4. Line chart sample interface

Visualization | Share another set of Flask+Pyecharts visualization template 2


?️‍? 5. Pie chart example interface

Visualization | Share another set of Flask+Pyecharts visualization template 2

##?️‍? 6. Cone chart sample interface

Visualization | Share another set of Flask+Pyecharts visualization template 2


?️‍? 7. 词云图示例界面

Visualization | Share another set of Flask+Pyecharts visualization template 2


?️‍? 8. 地图示例界面

def get_map():
    map1 = (
        Map()
        .add("", [list(z) for z in zip(regions, values)], "china",
             label_opts=opts.LabelOpts(is_show=False),
             is_map_symbol_show=False)
        .set_global_opts(
            title_opts=opts.TitleOpts(
                title=&#39;地区数量&#39;, pos_left=&#39;center&#39;, pos_top=&#39;10%&#39;,
                title_textstyle_opts=opts.TextStyleOpts(color=&#39;#fff200&#39;, font_size=20,font_weight=&#39;normal&#39;)
            ),
            visualmap_opts=opts.VisualMapOpts(
                is_show=False,
                pos_left=&#39;15%&#39;,
                pos_bottom=&#39;15%&#39;,
                range_color=colors
            ),
        )
    )
    title = "地区数量"
    return map1, title
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Visualization | Share another set of Flask+Pyecharts visualization template 2


以上各图内容均可根据自己的需要进行调整。

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