![]() The equivalent for horizontal spacing between subplots is wspace. Ymin = np.array(list(map(lambda b: b.y0, bboxes.flat))).reshape(axes.shape). 3 Answers Sorted by: 41 As you said in your question hspace reduces the vertical spacing between subplots. Ymax = np.array(list(map(lambda b: b.y1, bboxes.flat))).reshape(axes.shape).max(axis=1) I am trying to make a 5x4 grid of subplots, and from looking at examples it seems to me that the best way is: import matplotlib.pyplot as plt plt.figure() plt.subplot(221) where the first two numbers in the subplot (22) indicate that it is a 2x2 grid and the third number indicates which one of the 4 you are making. ![]() #Get the minimum and maximum extent, get the coordinate half-way between those Get_bbox = lambda ax: ax.get_tightbbox(r).transformed(())īboxes = np.array(list(map(get_bbox, axes.flat)), mtrans.Bbox).reshape(axes.shape) # Get the bounding boxes of the axes including text decorations subplot () function adds subplot to a current figure at the specified grid position. ![]() For the current style settings, see Axis.gettickparams. Tick properties that are not explicitly set using the keyword arguments remain unchanged unless reset is True. import numpy as npįig, axes = plt.subplots(3,2, squeeze=False) tickparams (axis both, kwargs) source Change the appearance of ticks, tick labels, and gridlines. 9 Answers Sorted by: 707 Please review matplotlib: Tight Layout guide and try using, or As a quick example: import matplotlib.pyplot as plt fig, axes plt.subplots (nrows4, ncols4, figsize (8, 8)) fig.tightlayout () Or equivalently, 'plt.tightlayout ()' plt. One solution to this can be to get the extent of the axes including decorators and take the mean in between the bottom of the upper and the top of the lower extent. If the axes/subplots have decorators like x labels or tick labels, it's not straight forward to find the correct position of the lines that should separate the subplots, such that they do not overlap with the texts.
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