title_text="Multiple Y Axis in Plotly" ) # Naming x-axis fig.update_xaxes(title_text="X - axis") # Naming y-axes fig.update_yaxes(title_text="<b>Main</b> Y - axis ",secondary_y=False) fig.update_yaxes(title_text="<b>secondary</b> Y - axis ",secondary_y=True) 输出: ...
可以使用title属性来设置标题,并使用titlefont属性来设置标题的样式,包括居中对齐。 代码语言:txt 复制 pie_chart <- layout( pie_chart, title = "饼图标题", titlefont = list( size = 20, family = "Arial", color = "black" ), showlegend = FALSE # 可选:设置是否显示图例 ) 最后,通过调用pl...
- trace type: A trace type which will be used to determine the appropriate subplot type for that trace * secondary_y (bool, default False): If True, create a secondary y-axis positioned on the right side of the subplot. Only valid if type='xy'. * colspan (int, default 1): number...
secondary_y = False) # B fig.add_trace(go.Scatter(x= B_error['CloseDate'], y = B_error[err], line_color = 'blue', mode = 'lines+markers', showlegend = True, name = "B", stackgroup = 'one'), row = 2, col = 1, secondary_y = False) fig.update_yaxes(tickprefix = '...
add_trace(trace, row=None, col=None, secondary_y=None) trace : BaseTraceType or dict 可以是: - plotly.graph_objs包中某个trace类的一个实例 - 一个字典, 'type'属性指定trace类型, 为['area', 'bar', 'barpolar', 'box', 'candlestick', 'carpet', 'choropleth', ...
'Dec'], y = [19,14,22,14,16,19,15,14,10,12,12,16], name = 'Secondary Produ...
y=[19, 14, 22, 14, 16, 19, 15, 14, 10, 12, 12, 16], name='Secondary Product', marker_color='lightsalmon' )) fig.update_layout(barmode='group', xaxis_tickangle=-45) #将x轴标签适当倾斜 fig.show() 1. 2. 3. 4.
return df.dropna()# 创建交互图表def create_plotly_chart(df, period): fig = make_subplots( rows=5, cols=1, shared_xaxes=True, vertical_spacing=0.03, row_heights=[0.5, 0.15, 0.15, 0.15, 0.2], specs=[[{"secondary_y": True}], [{}], [{}], [{}], [...
yaxis='y2' ) 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
Added support for secondary y-axes in make_subplots (#1564) Support passing a scalar trace object (rather than a list or tuple of trace objects) as the data property to the Figure constructor (#1614) Added dictionary-style .pop method to graph object classes (#1614) New jupyterlab-plotly...