plotly 代码存储

import plotly.graph_objects as go
import plotly
import plotly.offline as pltoff

def plot_mets(phone,actigraph):
    """
    画actigraph 和手机 cut point 转化为mets之后的点图
    :param phone: df
    :param actigraph: df
    :return:
    """
    fig = go.Figure(layout={"template": "plotly_white"})
    # fig.add_trace(go.Scatter(x=time_list,         
    y=phone_data_filter['magnitude'],
    #                          mode='lines',
    #                          name='phone_data_raw',
    #                          marker=dict(color='#06d6a0')
    #                          ))

    fig.add_trace(go.Scatter(x=time_list, y=phone,
                             mode='markers',
                             name='phone mets',
                             marker=dict(color="#e6b800"),
                             marker_symbol='x-open'
                             ))

    fig.add_trace(go.Scatter(x=time_list, y=get_line(phone),
                             mode='lines',
                             name='phone mets line',
                             line=dict(color="#e6b800",dash='dash',width=4)
                             ))

    fig.add_trace(go.Scatter(x=actigraph_data_with_time['time'], y=actigraph,
                             mode='markers',
                             name='actigraph mets',
                             marker_symbol="circle-open",
                             marker=dict(color='#ff1a1a')
                             ))
    fig.add_trace(go.Scatter(x=actigraph_data_with_time['time'], y=get_line(actigraph),
                             mode='lines',
                             name='actigraph mets line',
                             line=dict(color="#ff1a1a",dash='dash',width=4)
                             ))

    fig.add_trace(go.Scatter(x=mets['processed_time'], y=mets['mets'],
                             mode='markers',
                             name='K5 mets',
                             marker_symbol="diamond-open",
                             marker=dict(color="#0066ff")
                             ))
    fig.add_trace(go.Scatter(x=mets['processed_time'], y=get_line_mets(mets['mets'],x_cache),
                             mode='lines',
                             name='K5 mets line',
                             line=dict(color="#0066ff", dash='dash', width=4)
                             ))

    fig.update_layout(
        ######################## 图例设置 #############################
        legend=dict(x=0.1, y=1,  # 设置图例的位置，[0,1]之间
                    font=dict(family='Times New Roman', size=30, color='black'),  # 设置图例的字体及颜色
                    bordercolor="Black",
                    borderwidth=2),
        xaxis = dict(mirror=True,
                     ticks='outside',
                     showline=False,
                     showgrid=True,
                     ),
        yaxis=dict(mirror='all',
                   ticks='outside',
                   showline=False,
                   showgrid=True),
        # yaxis2=dict(anchor='x', overlaying='y', side='right'),  # 设置坐标轴的格式，一般次坐标轴在右侧
        # yaxis2_title='Mets',
        xaxis_title="Time",  # X轴标题文本
        yaxis_title="Mets",  # Y轴标题文本
        #     legend_title="Legend Title",      # 图例标题文本
        font=dict(
            family="Times New Roman",  # 所有标题文字的字体
            size=40,  # 所有标题文字的大小
            color="black"  # 所有标题的颜色
        ),
        xaxis_title_font_family='Times New Roman',  # 额外设置x轴标题的字体
        yaxis_title_font_color='black',  # 额外将y轴的字体设置为红色
    )
    # plotly.offline.plot(fig)
    # 导出图表

    plotly.offline.plot(fig)

标签：mets,存储,actigraph,color,代码,dict,fig,plotly,go
来源： https://www.cnblogs.com/SongLink/p/14498994.html