Dear Ben,
Thank you very much your reply.
I understood that there is problem the way plot_wireframe() function
requires the data.
However, I am trying to understand how exactly it needs the data.
For example to understand I took this random input data and did the plot -
(I took random points because in some cases it was giving me straight line)
X = np.array([[1,2,3], [4, 5, 6]])
Y = np.array([[37,85,19], [120,191,612]])
Z = np.array([[103,140,415], [16,217,718]])
ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
And it gave me a wireframe 3D graph.
However, I have questions regarding this plot -
1. How exactly the function plot_wireframe() interprets and plots the data?
How are the co-ordinates determined?
I tried to locate the points for example (1,37,103) (2,85,140) and so on...
but I don't think it is like that.
2. why does it require multiple dimension
If my input data is -
X = np.array([1,2,3])
Y = np.array([37,85,19])
Z = np.array([103,140,415])
It gives an error ValueError: need more than 1 value to unpack
Can you please tell me about these? :)
Thank you very much for your reply.
Regards,
Raj
Benjamin Root-2 wrote:
>
> On Tue, Sep 27, 2011 at 11:55 AM, rajtendulkar
> <pra...@gm...>wrote:
>
>> Dear Forum, I am a completely new user to matplotlib. I want to plot a 3D
>> wireframe / surface plot with matplotlib. I am trying to understand how
>> to
>> arrange the data so that I will get the correct plot. After trying a lot
>> and
>> taking reference from different examples, I wrote a code given in the
>> file
>> temp.py <http://old.nabble.com/file/p32534574/temp.py>. Can anyone please
>> tell me, how can I fix it to get a correct wireframe or surface plot? I
>> don't understand the array Z how it should look like. Thank You, Raj
>> temp.py <http://old.nabble.com/file/p32534574/temp.py>
>>
>
>
> I don't think your data is well-formed. The input X, Y, and Z needs to be
> 2D with the same shape. I am confused by your x and y data, which you
> then
> pass into meshgrid. To illustrate, meshgrid does this:
>
> for:
> x = [1, 2, 3, 4, 5]
> y = [1, 2, 3]
>
> then the command:
> X, Y = numpy.meshgrid(x, y)
>
> produces (for X):
> array([[1, 2, 3, 4, 5],
> [1, 2, 3, 4, 5],
> [1, 2, 3, 4, 5]])
>
> and (for Y):
> array([[1, 1, 1, 1, 1],
> [2, 2, 2, 2, 2],
> [3, 3, 3, 3, 3]])
>
> Your x and y look like they are flattened versions of these. In addition,
> your z doesn't seem to have enough values to fit the domain.
>
> Ben Root
>
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