英文:
Plotly: difference between fig.update_layout({'yaxis': dict(matches=None)}) and fig.update_yaxes(matches=None)
问题
I am trying to work out the difference between:
fig.update_layout({'yaxis': dict(matches=None)})fig.update_yaxes(matches=None)
I thought they were the same, but fig.update_layout({'yaxis': dict(matches=None)}) doesn't change the yaxis as expected.
Here is the example code:
import plotly.express as pximport plotlyprint("plotly version: " , plotly.__version__)# Sample datadata = {'Variable': ['A', 'A', 'B', 'B', 'C', 'C'],'Value': [1, 2, 3, 4, 5, 6]}# Create box plotfig = px.box(data, y='Value', facet_row='Variable')fig.update_layout(height=400, width=400)fig.update_layout({'yaxis': dict(matches=None)})fig.show()fig.update_yaxes(matches=None)fig.show()
OUT:
英文:
I am trying to work out the difference between:
fig.update_layout({'yaxis': dict(matches=None)})fig.update_yaxes(matches=None)
I thought they were the same, but fig.update_layout({'yaxis': dict(matches=None)}) doesn't change the yaxis as expected.
Here is the example code:
import plotly.express as pximport plotlyprint("plotly version: " , plotly.__version__)# Sample datadata = {'Variable': ['A', 'A', 'B', 'B', 'C', 'C'],'Value': [1, 2, 3, 4, 5, 6]}# Create box plotfig = px.box(data, y='Value', facet_row='Variable')fig.update_layout(height=400, width =400)fig.update_layout({'yaxis': dict(matches=None)})fig.show()fig.update_yaxes(matches=None)fig.show()
OUT:
答案1
得分: 1
这是因为当你使用facet_row参数时，会生成多个y轴。你可以像这样分别设置它们：
fig.update_layout({'yaxis': dict(matches=None)})fig.update_layout({'yaxis2': dict(matches=None)})fig.update_layout({'yaxis3': dict(matches=None)})
或者以更动态的方式：
## 检索所有y轴名称: ['yaxis', 'yaxis2', 'yaxis3']yaxis_names = ['yaxis'] + [axis_name for axis_name in fig.layout._subplotid_props if 'yaxis' in axis_name]yaxis_layout_dict = {yaxis_name:dict(matches=None) for yaxis_name in yaxis_names}fig.update_layout(yaxis_layout_dict)
英文:
This is happening because when you use the facet_row argument, you will generate multiple yaxes. You can set them individually like this:
fig.update_layout({'yaxis': dict(matches=None)})fig.update_layout({'yaxis2': dict(matches=None)})fig.update_layout({'yaxis3': dict(matches=None)})
Or in a more dynamic way:
## retrieve all yaxis names: ['yaxis', 'yaxis2', 'yaxis3']yaxis_names = ['yaxis'] + [axis_name for axis_name in fig.layout._subplotid_props if 'yaxis' in axis_name]yaxis_layout_dict = {yaxis_name:dict(matches=None) for yaxis_name in yaxis_names}fig.update_layout(yaxis_layout_dict)
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