On Tue, Apr 17, 2012 at 3:16 AM, Sameer Grover <sameer.grove...@gmail.com>wrote:
> On Tuesday 17 April 2012 12:36 PM, Abhishek Pratap wrote:
>
> Hi Guys
>
> I am starting to render plots with matplotlib as I learn both python and
> this interesting plotting library. I need help with a custom plot for a
> problem I am working on. May be there is an inbuilt function already.
>
> Problem:
> I am trying to draw a table(rectangle) as a plot with 96 individual cells
> ( 8 rows X 12 cols). Color each alternative cell with a specific color (
> like a chess board : instead of black I will use some other color) and
> insert value for each cell from a pandas data frame or python dictionary.
> Show the col and row labels on the side.
>
> Sample Data: http://pastebin.com/N4A7gWuH
>
> Appreciate your input.
>
> Thanks!
> -Abhi
>
>
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> I think you'll need to use the function imshow with interpolation set to
> None.
> Sameer
>
>
Actually, interpolation set to 'none', not the Python None. Here is some
code:
a = np.zeros((8 * 12, 3))
a[::2, 0] = 1.0 # red
a[1::2, 2] = 0.75 # blue
a.shape = (8, 12, 3)
plt.imshow(a, interpolation='none')
plt.show()
Note that there is currently a bug in plt.imsave() that makes saving this
throw an exception (but you can still save using fig.savefig()).
Cheers!
Ben Root
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