예제 #1
0
def year_line():
    x = handle_memcache.get_value("year_name")
    y = handle_memcache.get_value("year_nums")


    line2 = (
        Line()
            .set_global_opts(
            tooltip_opts=opts.TooltipOpts(is_show=False),
            xaxis_opts=opts.AxisOpts(type_="category"),
            yaxis_opts=opts.AxisOpts(
                type_="value",
                axistick_opts=opts.AxisTickOpts(is_show=True),
                splitline_opts=opts.SplitLineOpts(is_show=True),
            ),
        )
            .add_xaxis(xaxis_data=x)
            .add_yaxis(
            series_name="",
            y_axis=y,
            symbol="emptyCircle",
            is_symbol_show=True,
            label_opts=opts.LabelOpts(is_show=False),
        )
            # 设置 boundary_gap 的时候一定要放在最后一个配置项里, 不然会被覆盖
            .dump_options_with_quotes()
    )
    return line2
예제 #2
0
def orginize_bar() -> Bar:
    o_x = handle_memcache.get_value("org_name")
    o_y = handle_memcache.get_value("org_nums")
    c = (
        Bar()
            .add_xaxis(o_x)
            .add_yaxis("机构", o_y, category_gap="60%")
            .set_series_opts(
            itemstyle_opts={
                "normal": {
                    "color": JsCode(
                        """new echarts.graphic.LinearGradient(0, 0, 0, 1, [{
                    offset: 0,
                    color: 'rgba(0, 122, 255, 1)'
                }, {
                    offset: 1,
                    color: 'rgba(0, 77, 167, 1)'
                }], false)"""
                    ),
                    "barBorderRadius": [30, 30, 30, 30],
                    "shadowColor": "rgb(0, 160, 221)",
                }
            }
        )
            .set_global_opts(
            title_opts=opts.TitleOpts(title="机构"),
            xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=45)),
        )
            .dump_options_with_quotes()
    )
    return c
예제 #3
0
def qikan_bar() -> Bar:
    x = handle_memcache.get_value("qikan_name")
    y = handle_memcache.get_value("qikan_nums")
    c = (
        Bar()
            .add_xaxis(x)
            .add_yaxis("期刊", y)
            .reversal_axis()
            .set_series_opts(label_opts=opts.LabelOpts(position="right"))
            .set_global_opts(title_opts=opts.TitleOpts(title="期刊数量展示"))
            .dump_options_with_quotes()
    )
    return c
예제 #4
0
def author_bar() -> Bar:
    x = handle_memcache.get_value("author_name")
    y = handle_memcache.get_value("author_nums")
    c = (
        Bar()
            .add_xaxis(x)
            .add_yaxis("作者", y)
            .set_global_opts(
            title_opts=opts.TitleOpts(title="作者数量", subtitle="相关文章数量"), # 设置标题
            xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=45)), # 横轴设置字体倾斜45°,可显示全部作者名称
        )
            .dump_options_with_quotes() # 返回Json 格式的数据,前端解析调用
    )
    return c
예제 #5
0
def wordshow():
    words_list = handle_memcache.get_value('words')[::-1][1:50]
    c = (
        WordCloud()
            .add(series_name="热点分析", data_pair=words_list, word_size_range=[6, 66],shape="star")
            .set_global_opts(
            title_opts=opts.TitleOpts(
                title="热点分析", title_textstyle_opts=opts.TextStyleOpts(font_size=23)
            ),
            tooltip_opts=opts.TooltipOpts(is_show=True),
        )
            .dump_options_with_quotes()
    )
    return c
예제 #6
0
def xueke_pie():
    data1 = handle_memcache.get_value("qikan_name")
    data2 = handle_memcache.get_value("qikan_nums")
    c = (
        Pie()
            .add(
            "",
            [
                list(z)
                for z in zip(
                data1,
                data2,
            )
            ],
            center=["40%", "50%"],
        )
            .set_global_opts(
            title_opts=opts.TitleOpts(title="期刊占比"),
            legend_opts=opts.LegendOpts(type_="scroll", pos_left="80%", orient="vertical"),
        )
            .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
            .dump_options_with_quotes()
    )
    return c