要使用Plotly的Histogram2dContour类,首先需要安装Plotly库。然后可以按照以下步骤使用Histogram2dContour类: 导入Plotly库和Histogram2dContour类: import plotly.graph_objects as go 复制代码 创建数据集,例如两个变量x和y,并将它们传递给Histogram2dContour类的构造函数: x = [1, 1, 2, 2, 2, 3, 3, 3, ...
Check Plotly's documentation for available colorscales. contours: A dictionary that controls the appearance of the contours. showlabels controls whether to show the number of counts/percentage in each contour, and labelfont controls the color of the labels. contour_filling: Set to "fill" to ...
import plotly.express as px df = px.data.tips() fig = px.density_contour(df, x="total_bill", y="tip", marginal_x="histogram", marginal_y="histogram") fig.show() 010203040500246810 total_billtip Density contours can also be faceted and discretely colored: import plotly.express as px...
Step 1 Try an Example The 2D histogram uses a colorscale to depict distribution across two variables in a contour plot. Before getting started with your own dataset, you can check out an example. First, select the 'Type' menu. Hovering the mouse over the chart type icon will display three...