Plotly中绘制热力图有3种方式:heatmap、imshow和figure_factory(Plotly的图形工厂函数) 官网学习地址: 目录 本文的整体目录: Plotly连载文章 几篇Plotly更新的文章,请参考: 导入库 import pandas as pd import numpy as np import plotly_express as px import plotly.graph_objects as go import plotly.figure_fact...
# 显示的数据z = data1# 两个轴,可以任意指定x = indexy = columns# 显示的文本内容z_text = data1fig = ff.create_annotated_heatmap( z, x=x, y=y, annotation_text=z_text,# 标注文本内容colorscale='Viridis', showscale=True)# 字体大小设置foriinrange(len(fig.layout.annotations)): fig.l...
Plotly中绘制热力图有3种方式:heatmap、imshow和figure_factory(Plotly的图形工厂函数) 官网学习地址: https://plotly.com/python/heatmaps/ https://plotly.com/python/imshow/ https://plotly.com/python/annotated-heatmap/ 目录 导入库importpandasaspd importnumpyasnp importplotly_expressaspx importplotly.grap...
import plotly.graph_objects as go import numpy as np z = [[1e-4,1e-3,1e-2], [1e-1, 1, 1e1], [1e2, 1e3, 1e4]] go.Figure( data = go.Heatmap( z = z, ) ).show() go.Figure( data = go.Heatmap( z = np.log(z), ) ).show() ...
import plotly.graph_objects as go import numpy as np # 生成示例数据 x = np.linspace(-5, 5, 100) y = np.linspace(-5, 5, 100) x, y = np.meshgrid(x, y) z = np.sin(np.sqrt(x**2 + y**2)) # 创建3D曲面图 fig = go.Figure(data=[go.Surface(z=z, x=x, y=y)]) # ...
import plotly.graph_objects as go import numpy as np x = np.linspace(-5, 5, 100) y = np.linspace(-5, 5, 100) x, y = np.meshgrid(x, y) z = np.sin(np.sqrt(x**2 + y**2)) fig = go.Figure(data=[go.Surface(z=z, x=x, y=y)]) ...
graph_objects方法支持两种方法来绘制图像绘制: go.Image:仅支持多通道的图像数据 go.Heatmap:支持单通道的图像数据 基于go.Image方法 import plotly.graph_objects as go # 2*3*3的列表 rgb = [[[200, 0, 0], [0, 200, 0], [0, 0, 255]], [[0, 255, 0], [0, 0, 205], [255, 0, 0...
The plotly package allows to build interactive charts with theplot_ly()function. You can build heatmaps specifying heatmap in thetypeargument. You have to provide a square matrix. Try: to zoom, to hover, to export to png and to slide axis. Double click to re-initialize. ...
treemap(): 矩形树图sunburst(): 旭日图facet_row() / facet_col(): 分面绘图（按行/列拆分）icicle(): 冰柱图parallel_coordinates(): 平行坐标图parallel_categories(): 平行类别图 最后事项总结：所有图表返回 plotly.graph_objects.Figure 对象，可通过 .update_layout() 或 .update_traces() 进一步自定义...
3.2 使用 Plotly Graph Objects 如果需要更复杂的图表,可以使用 Plotly Graph Objects。以下是一个使用 Graph Objects 绘制条形图的示例: # 创建数据 data = [go.Bar(x=['A', 'B', 'C'], y=[10, 20, 15])] # 创建图形对象 fig = go.Figure(data=data) ...