英文:
how to jitter the scatter plot on px.imshow heatmap in python plotly
问题
我使用plotly的热力图制作了一个风险矩阵，并在热力图上叠加了散点以显示每个单独的项目。我的问题是，如果我有2个项目位于同一个框中，如何使这些点稍微偏移，以便它们都可以适应框内，而不会重叠在一起？例如，我在影响中等，可能性低的框中有"project1"。如果我有一个"project2"也位于同一个框中，如何使它们都适应同一个框内而不重叠？
import plotly.express as px
import plotly.graph_objects as go
fig = px.imshow([[3, 5, 5],
[1, 3, 5],
[1, 1, 3]],
color_continuous_scale='Reds',
labels=dict(x="Likelihood", y="Impact"),
x=['Low', 'Medium', 'High'],
y=['High', 'Medium', 'Low']
)
fig.add_trace(go.Scatter(x=["Low"], y=["Medium"],
name="project1",
marker=dict(color='black', size=16)))
fig.show()
期望的结果
英文:
I have a risk matrix made using plotly's heatmap, and I have overlayed scatter points on the heatmap to show as each individual project. My question is if I have 2 projects that are in the same box, how to jitter the points so they can both fit in the box without overlaying onto each other? For example, I have project1 in the box of impact medium, likelihood low. If I have a project2 that's in the same box, how can both fit in the same box without overlaying?
import plotly.express as px
import plotly.graph_objects as go
fig = px.imshow([[3, 5, 5],
[1, 3, 5],
[1, 1, 3]],
color_continuous_scale='Reds',
labels=dict(x="Likelihood", y="Impact"),
x=['Low', 'Medium', 'High'],
y=['High', 'Medium', 'Low']
)
fig.add_trace(go.Scatter(x=["Low"], y=["Medium"],
name="project1",
marker=dict(color='black', size=16)))
fig.show()
Expected Outcome
答案1
得分: 1
使用一个图形对象，创建一个以xy轴为数值轴的图形，然后将抖动值设置为xy轴数值的散点图。最后，可以通过将xy轴的刻度更新为字符串，将xy轴呈现为一个分类变量。我们猜测并手动添加您期望图形的抖动，然后用您的数据替换它。
import plotly.graph_objects as go
fig = go.Figure()
fig.add_trace(go.Heatmap(z=[[3, 5, 5],
[1, 3, 5],
[1, 1, 3]],
colorscale='Reds'))
fig.add_trace(go.Scatter(x=[-0.25], y=[0.75], name="project1", marker=dict(color='black', size=16), showlegend=False))
fig.add_trace(go.Scatter(x=[-0.25], y=[1.25], name="project1", marker=dict(color='black', size=16), showlegend=False))
fig add_trace(go.Scatter(x=[0.25], y=[0.75], name="project1", marker=dict(color='black', size=16), showlegend=False))
fig.add_trace(go.Scatter(x=[0.25], y=[1.25], name="project1", marker=dict(color='black', size=16), showlegend=False))
fig.add_trace(go.Scatter(x=[0], y=[1.0], name="project1", marker=dict(color='black', size=8), showlegend=False))
fig.update_layout(height=400, width=400)
fig.update_xaxes(tickvals=[0,1,2], ticktext=['Low', 'Medium', 'High'])
fig.update_yaxes(tickvals=[0,1,2], ticktext=['High', 'Medium', 'Low'], autorange='reversed')
fig.show()
英文:
Using a graph object, create a graph with the xy-axis as the numeric axis, and then set the jitter value as a scatter with the xy-axis values. Finally, the xy-axis can be presented as a categorical variable by updating the xy-axis scale with a string. We take a guess and read the jitter of your expected graph and add it manually. Replace it with your data.
import plotly.graph_objects as go
fig = go.Figure()
fig.add_trace(go.Heatmap(z=[[3, 5, 5],
[1, 3, 5],
[1, 1, 3]],
colorscale='Reds'))
fig.add_trace(go.Scatter(x=[-0.25], y=[0.75], name="project1", marker=dict(color='black', size=16), showlegend=False))
fig.add_trace(go.Scatter(x=[-0.25], y=[1.25], name="project1", marker=dict(color='black', size=16), showlegend=False))
fig.add_trace(go.Scatter(x=[0.25], y=[0.75], name="project1", marker=dict(color='black', size=16), showlegend=False))
fig.add_trace(go.Scatter(x=[0.25], y=[1.25], name="project1", marker=dict(color='black', size=16), showlegend=False))
fig.add_trace(go.Scatter(x=[0], y=[1.0], name="project1", marker=dict(color='black', size=8), showlegend=False))
fig.update_layout(height=400, width=400)
fig.update_xaxes(tickvals=[0,1,2], ticktext=['Low', 'Medium', 'High'])
fig.update_yaxes(tickvals=[0,1,2], ticktext=['High', 'Medium', 'Low'], autorange='reversed')
fig.show()
通过集体智慧和协作来改善编程学习和解决问题的方式。致力于成为全球开发者共同参与的知识库，让每个人都能够通过互相帮助和分享经验来进步。
评论