Pointcloud:点云图 (三)、Maps地图 ScatterGeo:基于GEO地图模式的散点图(包括线形图) Choropleth:立体等值线图 Scattermapbox:基于地图的散点图 (四)、WebGL格式图形 ScatterGL、WebGL格式散点图(包括线形图) (五)、图表辅助工具 Axis:坐标工具,包括2D/3D平面坐标、立体坐标、极坐标(AngularAxis) Annotation:图...
fig.add_trace(go.Scatter(x=[1, 2, 3], y=[2, 3, 4]), # 两个轴的数据 row=1, col=1) # 行列位置 fig.add_trace(go.Scatter(x=[20, 30, 40], y=[5, 6, 7]), row=1, col=2) fig.add_trace(go.Bar(x=[20, 30, 40], y=[20, 40, 10]), row=2, col=1) fig.add_...
go.Scattermapbox()方法提供了多种symbol样式,但它只能呈现数据的单一维度(位置);而 px.scatter_mapbox()则支持将marker的size和color与不同列的值相关联,通过数据点的位置、颜色和大小多维度地呈现数据(marker的symbol不可改变) 所以,如果只是想标记数据点的位置,就用go.Scattermapbox()方法;而如果是想要在地图...
fig = go.Figure(go.Scatter( x=[1, 2, 3, 4, 5], y=[10, 11, 12, 11, 10], mode='markers', marker=dict(size=10)))# 添加注释fig.add_annotation( text='重要点', # 注释文本 x=3, # x 轴坐标 y=12, # y 轴坐标 showarrow=True, # 是否显示箭头 arrowhead=2, # 箭头样式(2...
fig = px.scatter(df, x='x', y='y') 创建要注释的多行文本: 代码语言:txt 复制 annotations = [ dict( x=1, y=1, xref="x", yref="y", text="Annotation 1", showarrow=True, arrowhead=7, ax=0, ay=-40 ), dict( x=2, y=2, xref="x", yref="y", text="Annotation 2...
label="3D Surface", method="restyle"), dict( args=["type","heatmap"], label="Heatmap", method="restyle") ]), pad={"r": 10,"t": 10}, showactive=True, x=0.11, xanchor="left", y=1.1, yanchor="top"), ] )#Add annotationfig.update_layout( ...
label="3D Surface", method="restyle"), dict( args=["type","heatmap"], label="Heatmap", method="restyle") ]), pad={"r": 10,"t": 10}, showactive=True, x=0.11, xanchor="left", y=1.1, yanchor="top"), ] )#Add annotationfig.update_layout( ...
px.scatter_3d(election, x="Joly", y="Coderre", z="Bergeron", color="winner", size="total", hover_name="district", symbol="result", color_discrete_map = {"Joly": "blue", "Bergeron": "green", "Coderre":"red"}) px.bar_polar(wind,r="value",theta="direction",color="strength...
fig = go.Figure(go.Scatter( x=[1, 2, 3, 4, 5], y=[10, 11, 12, 11, 10], mode='markers', marker=dict(size=10) )) # 添加注释 fig.add_annotation( text='重要点', # 注释文本 x=3, # x 轴坐标 y=12, # y 轴坐标 ...
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