# 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...
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...
fig=make_subplots(rows=1,cols=1,specs=[[{'type':'scatter'}]])然后，在图表中添加散点图，并...
update_layout(height=600, width=600, title_text="specs examples") fig.show() 子图类型 当不同的子图放在一起的时候,需要指定子图的类型,常见的类型有: By default, the make_subplots function assumes that the traces that will be added to all subplots are 2-dimensional cartesian traces (e.g. ...
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...
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=2, cols=2, subplot_titles=('子图1', '子图2', '子图3', '子图4'), # 子图标题 specs=[[{}, {}], [{}, {'type': 'pie'}]] # 每个子图的类型 )# 添加子图1:散点图trace1 = go.Scatter(x=[1, 2, 3], y=[4, 5, 6], mode='markers', name='...
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['...