Equal bin sizes including border using mayavi imshow?

Equal bin sizes including border using mayavi imshow?

By : xiang eagle
Date : November 21 2020, 12:01 PM
it should still fix some issue I don't know how to do this the right way (it seems like it would be very difficult to get right from what I know about imshow), but I have a conceptual suggestion.
Represent your NxN matrix of items on the surface with an (N+2)x(N+2) matrix and set the border entries to be -1. Then make a customized colormap such that your desired colormap is contained between 0 and 1, with all other entries as (0,0,0,0). I'm not exactly sure how to do that -- iirc mayavi modules don't allow you to setup discontinuous color tables, but you could still hack it in this way. Let me know if the part about the color table is confusing, and I can provide some code to make it work.
code :

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iOS- Including different image sizes for different display sizes

iOS- Including different image sizes for different display sizes

By : Da Huai
Date : March 29 2020, 07:55 AM
may help you . If you're on iOS 7 SDK which you most likely are, make use of the .xcassets catalogue. It has options for different screen sizes, put the different versions of your image there. And then load image in code.
How to draw a color image in mayavi (imshow)

How to draw a color image in mayavi (imshow)

By : user2008282
Date : March 29 2020, 07:55 AM
To fix the issue you can do Method
I had to make use of mayavi's custom colormaps, see http://docs.enthought.com/mayavi/mayavi/auto/example_custom_colormap.html .
code :
import pylab as pl
from mayavi import mlab

def mlab_imshowColor(im, alpha=255, **kwargs):
    Plot a color image with mayavi.mlab.imshow.
    im is a ndarray with dim (n, m, 3) and scale (0->255]
    alpha is a single number or a ndarray with dim (n*m) and scale (0->255]
    **kwargs is passed onto mayavi.mlab.imshow(..., **kwargs)
        alpha = pl.ones(im.shape[0] * im.shape[1]) * alpha
    if len(alpha.shape) != 1:
        alpha = alpha.flatten()

    # The lut is a Nx4 array, with the columns representing RGBA
    # (red, green, blue, alpha) coded with integers going from 0 to 255,
    # we create it by stacking all the pixles (r,g,b,alpha) as rows.
    myLut = pl.c_[im.reshape(-1, 3), alpha]
    myLutLookupArray = pl.arange(im.shape[0] * im.shape[1]).reshape(im.shape[0], im.shape[1])

    #We can display an color image by using mlab.imshow, a lut color list and a lut lookup table.
    theImshow = mlab.imshow(myLutLookupArray, colormap='binary', **kwargs) #temporary colormap
    theImshow.module_manager.scalar_lut_manager.lut.table = myLut

    return theImshow

def test_mlab_imshowColor():
    Test if mlab_imshowColor displays correctly by plotting the wikipedia png example image

    #load a png with a scale 0->1 and four color channels (an extra alpha channel for transparency).
    from urllib import urlopen
    url = 'http://upload.wikimedia.org/wikipedia/commons/4/47/PNG_transparency_demonstration_1.png'
    im = pl.imread(urlopen(url), format='png')
    im *= 255

    mlab_imshowColor(im[:, :, :3], im[:, :, -1])

    mlab.points3d([-200, 300, -200, 300],
                  [-200, 300, 200, -300],
                  [300, 300, 300, 300])

if __name__ == "__main__":
Imshow - splitted with different pixel sizes

Imshow - splitted with different pixel sizes

By : Maider Ocerin
Date : March 29 2020, 07:55 AM
it fixes the issue This is way simpler if you just use a single axes object. Then also zooming will work flawlessly.
code :
from matplotlib import pyplot as plt
import numpy as np

# prepare the data
data = np.arange((100))
data = np.reshape(data, (10,10))

# create the figure and a single axis
fig, ax = plt.subplots()

# common arguments to imshow
kwargs = dict(
        origin='lower', interpolation='nearest', vmin=np.amin(data),
        vmax=np.amax(data), aspect='auto')

# draw the data
ax.imshow(data1, extent=[0, 10, 0, 5], **kwargs)
ax.imshow(data2, extent=[0, 10, 5, 7.5], **kwargs)

# optional black line between data1 and data2
ax.axhline(5, color='k')

# set the axis limits
ax.set_ylim(0, 7.5)
ax.set_xlim(0, 10)

# set the xticklabels
xticks = np.arange(0,10)
ax.set_xticks(xticks + 0.5)
ax.set_xticklabels(map(str, xticks))

# set the yticks and labels
yticks = np.concatenate((
        np.arange(0, 5) + 0.5,
        np.arange(5, 7.5, 0.5) + 0.25
ax.set_yticklabels(map(str, xticks))

# show the figure
Matplotlib imshow figure(2,2) image sizes proportional to axes

Matplotlib imshow figure(2,2) image sizes proportional to axes

By : NeRii SwaNd
Date : March 29 2020, 07:55 AM
This might help you In the code from the question, the subplot columns and rows are equal in width and height respectively. What you want is to make the first column and the first row 4 times larger than the second.
This can easily be accomplished using the gridspec's height_ratios and width_ratios.
code :
import matplotlib.pyplot as plt
import numpy as np

A = np.random.rand(500,500)

fig, axs = plt.subplots(nrows=2, ncols=2, figsize=(7, 7),
                        gridspec_kw=dict(height_ratios=[4,1], width_ratios=[4,1]))
axs[0, 0].set_title('A')
axs[0, 0].imshow(A[:400,:400], vmin=0, vmax=1)
axs[0, 1].set_title('B')
axs[0, 1].imshow(A[:400,400:], vmin=0, vmax=1)
axs[1, 0].set_title('C')
axs[1, 0].imshow(A[400:,:400], vmin=0, vmax=1)
axs[1, 1].set_title('D')
axs[1, 1].imshow(A[400:,400:], vmin=0, vmax=1)
Border with equal sizes on all 4 sides of JTextpane

Border with equal sizes on all 4 sides of JTextpane

By : H-Gn
Date : March 29 2020, 07:55 AM
will be helpful for those in need I am setting a createLineborder to my JTextPane. But the border lines are little different in right-end and bottom of JTextpane when compared to Left-end and top of TextPane. I searched in net and I found that it is the default behavior of lineborder. So can anyone please tell me that is there any border which gives equal lines sizes in all 4 sides? , I would say it has more to do with using null layouts...
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