% matplotlib inline import matplotlib.pyplot as plt import numpy as np # set default figure size to (14, 8) plt . For example, subplot(2, 3, 3) and subplot(233) both create an .Axes at the top right corner of the current figure, occupying half of the figure height and a third of the figure width. x = np. 方法2:通过ax控制子图 To go beyond a regular grid to subplots that span multiple rows and columns, plt.GridSpec() is the best tool.

subplot (1, 2, 2) plt. 这一步中使用plt.subplot(2,3,4)将整个图像窗口分为2行3列, 于是整个图像窗口的第1行就变成了3列, 也就是成了3个位置, 于是第2行的第1个位置是整个图像窗口的第4个位置. If axes exist in the specified position, then this command makes the axes the current axes.

figure (figsize = (6, 2)) # figureの縦横の大きさ plt. The first subplot is the first column of the first row, the second subplot is the second column of the first row, and so on. linspace (0, 10, 20) y1 = x y2 = x ** 2 # figure は 1 つ plt.

By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. rcParams [ 'figure.figsize' ] = ( 14.0 , 8.0 ) 方法1:通过plt控制子图. plot (x, y1) plt. We use cookies for various purposes including analytics.

OK, I Understand 使用plt.subplot(235)将整个图像窗口分为2行3列,当前位置为5. subplot(m,n,p) divides the current figure into an m-by-n grid and creates axes in the position specified by p.MATLAB ® numbers subplot positions by row. plot (x, y2)

subplot (1, 2, 1) # figure内の枠の大きさとどこに配置している。subplot(行の数,列の数,何番目に配置しているか) plt. plt.GridSpec: More Complicated Arrangements¶.

파이썬 버전 3.7 기준 matplotlib 버전 3.1.0 기준 다수의 플롯의 작성(subplot)과 tight_layout() 본 포스팅에서는 subplot()함수의 작성법에 대한 설명과 서브플롯(subplot)을 통해 하나의 Figure에 여러 개.. 使用plt.subplot2grid来创建第2个小图, (3,3)表示将整个图像窗口分成3行3列, (1,0)表示从第1行第0列开始作图,colspan=2表示列的跨度为2.同上画出 ax3, (1,2)表示从第1行第2列开始作图,rowspan=2表示行的跨度为2.再画一个 ax4 和 ax5, 使用默认 colspan, rowspan. 例えば 、 plt.subplot(2, 3, 4) ならば、図を2 × 3の6個に分割して、その中の4枚目のsub plotであることを示します。 この関数、例えば「データ解析の際に、データの特徴ごとのプロットを一つにまとめて表示する」なんてときに便利ですよ。 fig, ax = plt.subplots(1,3,1),最后一个参数1代表第一个子图。 如果想要设置子图的宽度和高度可以在函数内加入figsize值 fig, ax = plt.subplots(1,3,figsize=(15,7)),这样就会有1行3个15x7大小的子图。 控制子图. The plt.GridSpec() object does not create a plot by itself; it is simply a convenient interface that is recognized by the plt.subplot() command.