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

In this issue, I will share with you a set of ## suitable for beginners #<flask pyecharts visual template><span style="color: rgb(221, 0, 0);text-decoration: underline;outline: 0px;font-weight: 700;font-size: inherit;"></span></flask>, 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:

##Introduction to each sub-interface:

## ?️‍? 1. System description interface

?️‍? 2. Bar chart sample interface

Code:

##

def get_bar():
    x_data = df['排名'].values.tolist()
    y_data = df['时长(s)'].values.tolist()
    bar = (
        Bar()
            .add_xaxis(x_data)
            .add_yaxis(
                '数量1',
                y_data,
                label_opts=opts.LabelOpts(is_show=False)
            )
            .set_global_opts(
                legend_opts=opts.LegendOpts(
                    textstyle_opts=opts.TextStyleOpts(color='rgba(255,255,255,.5)',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

#?️‍? 3. Scatter plot example interface

##?️‍? 4. Line chart sample interface

?️‍? 5. Pie chart example interface

##?️‍? 6. Cone chart sample interface

?️‍? 7. 词云图示例界面

?️‍? 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='地区数量', pos_left='center', pos_top='10%',
                title_textstyle_opts=opts.TextStyleOpts(color='#fff200', font_size=20,font_weight='normal')
            ),
            visualmap_opts=opts.VisualMapOpts(
                is_show=False,
                pos_left='15%',
                pos_bottom='15%',
                range_color=colors
            ),
        )
    )
    title = "地区数量"
    return map1, title

以上各图内容均可根据自己的需要进行调整。

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