英文:
3D Surface plot is empty
问题
我正在跟随一个关于数据科学的在线课程，该课程使用Plot.ly和Cufflinks来绘制数据。我正在尝试理解表面绘图的工作原理。这是课程作者提供的数据示例：
df3 = pd.DataFrame({'x':[1,2,3,4,5],'y':[10,20,30,20,10],'z':[5,4,3,2,1]})
我尝试像这样绘制它，但图表为空：
df3.iplot(kind='surface', colorscale='rdylbu', x='x', y='y', z='z')
在图表显示中，当我点击"Export to plot.ly"时，生成的电子表格与我的数据集匹配，即x = [1, 2, 3, 4, 5]，y = [10, 20, 30, 20, 10]，z = [5, 4, 3, 2, 1]。但图表仍然为空。根据数据集，我期望表面绘图包含以下点（按照x、y、z的顺序）：
- (1, 10, 5)
- (2, 20, 4)
- (3, 30, 3)
- (4, 20, 2)
- (5, 10, 1)
英文:
I am following an online course on data science which uses Plot.ly with Cufflinks to plot data. I am trying to understand how the surface plot works. This is the data sample provided by the course author:
df3 = pd.DataFrame({'x':[1,2,3,4,5],'y':[10,20,30,20,10],'z':[5,4,3,2,1]})
I tried to plot it like this, but the plot comes up empty:
df3.iplot(kind='surface',colorscale='rdylbu', x='x', y='y', z='z')
In the figure display, when I click "Export to plot.ly", the generated spreadsheet matches my dataset, i.e., x = [1, 2, 3, 4, 5], y = [10, 20, 30, 20, 10], and z = [5, 4, 3, 2, 1]. But the figure is still empty. Based on the dataset, I expected the surface plot to contain the following points (in x, y, z order):
- (1, 10, 5)
- (2, 20, 4)
- (3, 30, 3)
- (4, 20, 2)
- (5, 10, 1)
答案1
得分: 1
我不确定在线课程的作者是如何使用来自df3的数据创建表面图的，因为z需要是一个2D数组（文档可以在这里查看），而df3.iplot(kind='surface',colorscale='rdylbu', x='x', y='y', z='z')不会被Plotly理解，因为它将一个1D数组传递给参数z。也许他们使用的是Plotly的早期版本？
据我所知，这个问题定义不够清晰，因为可以包括那5个点的多个表面图，但为了获得一个表面图，我会为df3的z列制作一个可能的2D数组。请注意，只要数组的形状与x和y一致，您可以更改传递给z的数组中的任何值，Plotly就能够呈现它。
df3 = pd.DataFrame({'x':[1,2,3,4,5],'y':[10,20,30,20,10],'z':[[5,4,0,0,0],[3,4,0,0,0],[2,2,3,0,0],[1,1,1,2,0],[0,0,0,0,1]]})
df3.iplot(kind='surface', colorscale='rdylbu', x='x', y='y', z='z')
英文:
I am not sure how the author of the online course produced a surface plot using the data from df3 because z needs to be a 2D array (the documentation can be viewed here), and df3.iplot(kind='surface',colorscale='rdylbu', x='x', y='y', z='z') won't be understood by plotly because this passes a 1D array to the parameter z. Perhaps they were using an earlier version of plotly?
As far as I can tell, this question is not well defined because there are multiple surface plots that could include those 5 points, but for the purpose of obtaining a surface plot, I will make up a possible 2D array for the z column of df3. Note that you could change any of the values in the array being passed to z and plotly would be able to render it as long as the shape is consistent with x and y.
df3 = pd.DataFrame({'x':[1,2,3,4,5],'y':[10,20,30,20,10],'z':[[5,4,0,0,0],[3,4,0,0,0],[2,2,3,0,0],[1,1,1,2,0],[0,0,0,0,1]]})
df3.iplot(kind='surface',colorscale='rdylbu', x='x', y='y', z='z')
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