# import make_subplots function from plotly.subplots # to make grid of plots fromplotly.subplotsimportmake_subplots # use specs parameter in make_subplots function # to create secondary y-axis fig=make_subplots(specs=[[{"secondary_y":True}]]) # plot a bar chart by specifying the x and y...
在plotly中,可以使用`make_subplots`函数创建包含子图的图表,并使用`specs`参数指定子图的规格。`specs`参数是一个二维数组,用于指定子图的布局。其中,每个元素表示一个子图...
在Plotly中,可以使用make_subplots函数创建包含多个子图的图表。要在子图中添加第二条轨迹的轴,可以按照以下步骤进行操作: 导入所需的库和模块:import plotly.graph_objects as go from plotly.subplots import make_subplots 创建子图:fig = make_subplots(specs=[[{"secondary_y": True}]]) 添加第一条轨迹...
fromplotly.subplotsimportmake_subplots# 权重weights = [0.2,0.3,0.25,0.15,0.1]# 计算综合得分score1 =sum([v * wforv, winzip(values1[:-1], weights)]) score2 =sum([v * wforv, winzip(values2[:-1], weights)])# 创建子图布局fig = make_subplots( rows=1, cols=2, specs=[[{"type"...
fig=make_subplots(rows=1,cols=1,specs=[[{'type':'scatter'}]])然后，在图表中添加散点图，并...
参考项目中计算了Distortion Score和Carlinski-Harabasz Score两种指标,并且左图含有2种y轴,可以在make_subplots中标明需要第2个y轴 fig=make_subplots(rows=1,cols=2,column_widths=[0.55,0.45],specs=[[{"secondary_y":True},{}]],horizontal_spacing=0.15,subplot_titles=['Distortion Score Elbow\n','Calin...
使用make_subplots 来创建一个包含多个迹线的子图。 python import plotly.graph_objs as go from plotly.subplots import make_subplots # 创建子图 fig = make_subplots(specs=[[{"secondary_y": True}]]) # 添加烛台图迹线 fig.add_trace(go.Candlestick(x=df['date'], open=df['open'], high=df['...
fig = make_subplots(specs=[[{"secondary_y": True}]]) fig.add_trace(trace1) fig.add_trace(trace2,secondary_y=True) fig['layout'].update(height = 600, width = 800, title = title,xaxis=dict( tickangle=-90 )) iplot(fig)
plotly.subplots.make_subplots(rows=1, cols=1, shared_xaxes=False, shared_yaxes=False, start_cell='top-left', print_grid=False, horizontal_spacing=None, vertical_spacing=None, subplot_titles=None, column_widths=None, row_heights=None, specs=None, insets=None, column_titles=None, row_...
fig = make_subplots(rows=1, cols=3, specs=[[{'type':'domain'}, {'type':'domain'},{'type':'domain'}]]) fig.add_trace(go.Pie(labels=age["Age_Group"],values=age["percent"],customdata=age["ACC_ID"], textinfo='label+percent',insidetextorientation='horizontal', textfont=dict(colo...