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This is most useful for two subplots (e.g.: fig, (ax1, ax2) = plt.subplots(1, 2) or fig, (ax1, ax2) = plt.subplots(2, 1)). For more subplots, it's more efficient to flatten and iterate through the array of axes.
To precisely control the positioning of the subplots, one can explicitly create a GridSpec with Figure.add_gridspec, and then call its subplots method. For example, we can reduce the height between vertical subplots using add_gridspec (hspace=0).
22 lip 2020 · If you want to plot 4 graphs, 2 in each row and 2 in each column, then you need to specify the parameters of plt.subplots() to be 2,2. x =np.arange(0, 10, 0.5) y1 = x*x y2= x*x*x y3= -1 *x y4= -x*x + 20 fig, axes = plt.subplots(2, 2) axes[0, 0].plot(x, y1, '-') axes[0, 1].plot(x, y2, 'm--o') axes[1, 0].plot(x, y3, 'b--o') axes[1, 1].plot(x, y4 ...
subplots() is the recommended method to generate simple subplot arrangements: fig , ( ax1 , ax2 ) = plt . subplots ( 2 , 1 ) fig . suptitle ( 'A tale of 2 subplots' ) ax1 . plot ( x1 , y1 , 'o-' ) ax1 . set_ylabel ( 'Damped oscillation' ) ax2 . plot ( x2 , y2 , '.-' ) ax2 . set_xlabel ( 'time (s)' ) ax2 . set_ylabel ( 'Undamped' ) plt . show ()
7 wrz 2012 · Instead of counting your own number of rows and columns, I found it easier to create the subplots using plt.subplots first, then iterate through the axes object to add plots.
This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call. Parameters: nrows, ncolsint, default: 1. Number of rows/columns of the subplot grid. sharex, shareybool or {'none', 'all', 'row', 'col'}, default: False.
plt.subplot(grid[0, 0]) plt.subplot(grid[0, 1:]) plt.subplot(grid[1, :2]) plt.subplot(grid[1, 2]); This type of flexible grid alignment has a wide range of uses. I most often use it when creating multi-axes histogram plots like the ones shown here:
