How do I remove a Moiré pattern in a polar plot generate by Plotlib?
I tried resizing the figure, but while improving a bit, once I increased too much the size the RAM fails.
I tried cv2 for image antialising, but to no avail.
Any hint?
Related
I'm using matplotlib in spyder. Size of plot is not good enough. I can only see it in the console on the bottom right. Is there any way to make it large?
Spyder images are supposed to be adjustable based on your setup. You can do this manually through the gui. I am guessing that you are not setting your figure size which is one way to increase the size of your figure.
fig = plt.figure(figsize=(16,16)) #Larger the numbers, the larger the figure
Another thing to consider when saving your figure. Use a vectorized format like a pdf and set your dpi so that you can zoom without degrading quality. This will make the file larger of course but it helps make publication quality figures.
I want to make the plot smaller, so it can save some space in print. However, when I make it smaller, the grid will be too tight:
Honestly, I don't get it. Why can't matplotlib auto-detect that this image is too small that the lable should be with a bigger interval?
So, How can I make the grid more sparse, so the lables won't overlap with each other?
Additionally, the title will also collapse with the labels. I can set it manually, by plt.suptitle(title, y=1.08). So it will look better
But I'm wondering if there is anyway to do it automatically?
Note: I'm using seaborn, but I tried with pure matplotlib, same problem.
I have a fairly complicated qt4 gui with a number of matplotlib plots as shown in the picture. Each plot plots one channel of data and there are 12 channels in total. The vertical scroll bar on the right adjusts the range of channels to plot. The problem is the gui works pretty sluggishly. When the scroll bar is moved, it takes about 2 seconds to refresh the plots. Is there any way to speed it up?
The entire code is fairly large to post here. But I am using
matplotlib.backends.backend_qt4agg as the backend and use canvas.draw() to refresh each plot. Thanks!
In matplotlib, if I see the aspect ratio of the image using
ax.set_aspect('equal')
is there a way I can get the actual figure to also match that? Currently, I just get a lot of grey space.
I want to make a plot in matplotlib that is wide and short. I can manipulate the size of a plot as answered on this question.
However, the x-axis label disappears if the plot is not tall enough. I want to squeeze the plot more while keeping the axis label visible.
Is there a way to manipulate the size of the plot without getting rid of the axis label?
After you change the plot size, run tight_layout(). Note that this requires matplotlib v1.1 or newer. If you have an older version of matplotlib, you can run subplot_tool() or subplots_adjust to adjust the plot manually.