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分类: Python/Ruby

2022-07-08 17:17:12

# 背景色

background_color_js = (

    "new echarts.graphic.LinearGradient(0, 0, 0, 1, "

    "[{offset: 0, color: '#c86589'}, {offset: 1, color: '#06a7ff'}], false)"

)

# 线条样式

linestyle_dic = { 'normal': {

                    'width': 4,  

                    'shadowColor': '#696969',

                    'shadowBlur': 10,  

                    'shadowOffsetY': 10,  

                    'shadowOffsetX': 10,  

                    }

                }

timeline = Timeline(init_opts=opts.InitOpts(bg_color=JsCode(background_color_js),

                                            width='980px',height='600px'))

bj, gz, sh, sz= [], [], [], []

all_max = []

x_data = data_10[data_10['城市'] == '北京'][''].tolist()

for d_time in跟单网gendan5.com range(len(x_data)):

    bj.append(data_10[(data_10[''] == x_data[d_time]) & (data_10['城市']=='北京')]["最高温度"].values.tolist()[0])

    gz.append(data_10[(data_10[''] == x_data[d_time]) & (data_10['城市']=='广州')]["最高温度"].values.tolist()[0])

    sh.append(data_10[(data_10[''] == x_data[d_time]) & (data_10['城市']=='上海')]["最高温度"].values.tolist()[0])

    sz.append(data_10[(data_10[''] == x_data[d_time]) & (data_10['城市']=='深圳')]["最高温度"].values.tolist()[0])

    line = (

        Line(init_opts=opts.InitOpts(bg_color=JsCode(background_color_js),

                                     width='980px',height='600px'))

        .add_xaxis(

            x_data,

                  )

        .add_yaxis(

            '北京',

            bj,

            symbol_size=5,

            is_smooth=True,

            is_hover_animation=True,

            label_opts=opts.LabelOpts(is_show=False),

        )

        .add_yaxis(

            '广州',

            gz,

            symbol_size=5,

            is_smooth=True,

            is_hover_animation=True,

            label_opts=opts.LabelOpts(is_show=False),

        )

        .add_yaxis(

            '上海',

            sh,

            symbol_size=5,

            is_smooth=True,

            is_hover_animation=True,

            label_opts=opts.LabelOpts(is_show=False),

        )

        .add_yaxis(

            '深圳',

            sz,

            symbol_size=5,

            is_smooth=True,

            is_hover_animation=True,

            label_opts=opts.LabelOpts(is_show=False),

        )

        .set_series_opts(linestyle_opts=linestyle_dic)

        .set_global_opts(

            title_opts=opts.TitleOpts(

                title='北上广深10月份最高气温变化趋势',

                pos_left='center',

                pos_top='2%',

                title_textstyle_opts=opts.TextStyleOpts(color='#DC143C', font_size=20)),

            tooltip_opts=opts.TooltipOpts(

                trigger="axis",

                axis_pointer_type="cross",

                background_color="rgba(245, 245, 245, 0.8)",

                border_width=1,

                border_color="#ccc",

                textstyle_opts=opts.TextStyleOpts(color="#000"),

        ),

            xaxis_opts=opts.AxisOpts(

#                 axislabel_opts=opts.LabelOpts(font_size=14, color='red'),

#                 axisline_opts=opts.AxisLineOpts(is_show=True,

#                 linestyle_opts=opts.LineStyleOpts(width=2, color='#DB7093'))

                is_show = False

            ),

# 资料、解答、教程可加Q 261823976免费领         

            yaxis_opts=opts.AxisOpts(

                name='最高气温',            

                is_scale=True,

#                 min_= int(min([gz[d_time],sh[d_time],sz[d_time],bj[d_time]])) - 10,

                max_= int(max([gz[d_time],sh[d_time],sz[d_time],bj[d_time]])) + 10,

name_textstyle_opts=opts.TextStyleOpts(font_size=16,font_weight='bold',color='#5470c6'),

                axislabel_opts=opts.LabelOpts(font_size=13,color='#5470c6'),

                splitline_opts=opts.SplitLineOpts(is_show=True,

linestyle_opts=opts.LineStyleOpts(type_='dashed')),

                axisline_opts=opts.AxisLineOpts(is_show=True,

                                        linestyle_opts=opts.LineStyleOpts(width=2, color='#5470c6'))

            ),

            legend_opts=opts.LegendOpts(is_show=True, pos_right='1%', pos_top='2%',

                                        legend_icon='roundRect',orient = 'vertical'),

        ))

    timeline.add(line, '{}'.format(x_data[d_time]))

timeline.add_schema(

    play_interval=1000,          # 轮播速度

    is_timeline_show=True,      # 是否显示 timeline 组件

    is_auto_play=True,          # 是否自动播放

    pos_left="0",

    pos_right="0"

)

timeline.render_notebook()

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