subplot | 易学教程

Make longer subplot tick marks in matplotlib?

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问题 I am trying to alter the tick marks along the axes of a python multipanel subplot. I have two panels that share a common x-axis. I have made the border around the plot thicker as well as making all of the tick marks along the axes thicker. I have two questions: How can I make all tick marks (both axes) longer so they are more visible? How do I add smaller but still noticable tick marks between major tick marks? Here is a minimum working example of what I have so far. from numpy import * from

How to create space between subplots?

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The title pretty much says it all. I have a notebook containing two subplots and would like to create some space between them. They look too close to one another per say. With matplotlib.Figure.subplots_adjust : import matplotlib.pyplot as plt fig, (ax1, ax2) = plt.subplots(1, 2) ax1.plot([1,2,3], [1,2,3]) ax2.plot([1,2,3], [3,2,1]) plt.show() increasing the width can be done with the wspace parameter: ... # same setup as before fig.subplots_adjust(wspace=2) plt.show() If you want to have even more control over the positioning of the axes then you can specify the offset (bottom and left) and

How can I align plots/graphics in subplots in MATLAB?

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问题 I have 3 objects (a photo and 2 plots) to put into subplots on one figure. It should look like this: But as one can notice, the photo should not be square but rectangle. I tried to make it this way (found here Matlab: How to align the axes of subplots when one of them contains a colorbar?): main=subplot(4,4,[5,6,7,9,10,11,13,14,15]) %photo imagesc(im); axis('image') pion=subplot(4,4,[8,12,16]); %right plot (rotated) view(90, 90) plot(ypion,Ppion,'.k'); poz=subplot(4,4,1:3); %upper plot plot

Expand (maximise) subplot figure temporarily — then collapse it back

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Often in Matlab we would plot a figure with many subplot axes, but they are all tiny. In the prevalent UX paradigm, you would expect to be able to double-click such a small plot to have a closer look using the entire screen space. Typically this is the reason I avoid using subplot , but plot many individual figures instead — so I can move them around on the screen and double-click on their titlebars which (on Windows) maximises the figure to full screen. (Double-click again, and it returns to its normal size.) However, the advantage of subplot is that the set of plots is grouped in one panel.

matplotlib subplot without gaps but the last one

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问题 I'm try to figure out how can I achieve the result as reported in the title's topic, basically I wish obtain a subplot 1 column 4 row without gaps in the row 1,2,3 and a normal gaps between the 1,2,3 block and the four Right now I have just obtain a 4 row plot without gaps using the subplot_adjust as follow: fig.subplots_adjust(wspace=0, hspace=0) here the complete code: fig,axs = SansItalic(**{'lines.linewidth': 3} )(4,1,(14.0,14.0)) axs[0].plot(a1,a2,label='45 60',color='C5') # ,linestyle=

adjusting subplot with a colorbar

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问题 I have made the following visualization. I am at loss to figure out how to adjust the size of the third subplot according to the other two (they are sharing the x-axis). The properties that are given here are not helping much and the examples I found on SO also seem to be addressing cases different from mine. Can anyone please help? 回答1: An easy method would be to add another two colorbars but make them invisible. import matplotlib.pyplot as plt fig, (ax,ax2,ax3) = plt.subplots(3,1, sharex

How to change the background colour of a subplot/inset in R?

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I'd like to add a subplot to an existing plot in R. The subplot (inset) should have a different background color. I tried the following: #install.packages("TeachingDemos", dependencies=T) library(package="TeachingDemos") d0 <- data.frame(x = rnorm(150, sd=5), y = rnorm(150, sd=5)) d0_inset <- data.frame(x = rnorm(1500, sd=5), y = rnorm(1500, sd=5)) plot(d0) subplot( fun = plot( d0_inset , col = 2 , pch = '.' , mgp = c(1,0.4,0) , ann = F , cex.axis=0.5 ) , x = grconvertX(c(0.75,1), from='npc') , y = grconvertY(c(0,0.25), from='npc') , type = 'fig' , pars = list( mar = c(1.5,1.5,0,0) + 0.1 , bg

figure.add_subplot() vs pyplot.subplot()

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问题 What is the difference between add_subplot() and subplot() ? They both seem to add a subplot if one isn't there. I looked at the documentation but I couldn't make out the difference. Is it just for making future code more flexible? For example: fig = plt.figure() ax = fig.add_subplot(111) vs plt.figure(1) plt.subplot(111) from matplotlib tutorials. 回答1: If you need a reference to ax for later use: ax = fig.add_subplot(111) gives you one while with: plt.subplot(111) you would need to do

Matplotlib: get and set axes position

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问题 In matlab, it's straightforward to get and set the position of an existing axes on the figure: pos = get(gca(), 'position') set(gca(), 'position', pos) How do I do this in Matplotlib? I need this for two related reasons: These are the specific problems I'm trying to solve: I have a column of subplots where some have colorbars and some don't, and they aren't the same width i.e. the X axises don't align. The colorbar steals space from the axes. This also happens in matlab, and there I'd use the

Make longer subplot tick marks in matplotlib?

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I am trying to alter the tick marks along the axes of a python multipanel subplot. I have two panels that share a common x-axis. I have made the border around the plot thicker as well as making all of the tick marks along the axes thicker. I have two questions: How can I make all tick marks (both axes) longer so they are more visible? How do I add smaller but still noticable tick marks between major tick marks? Here is a minimum working example of what I have so far. from numpy import * from scipy import * from pylab import * from random import * import pylab import matplotlib.pyplot as plt