You can vote up the examples you like or ... fig = plt.figure() # 建立一个表格 fig.add_subplot(3, 3, 1) n = 128 X = np.random.normal(0, 1, n) Y … plt.setp(ax.get_xticklabels(), fontsize=) sets the fontsize property of xtick labels object. Text properties control the appearance of the label. Creating multiple subplots using plt.subplots ¶. labelpad scalar, optional, default: None.
When using the matplotlib object-oriented interface, the correct commands to use are ax.set_xlabel and ax.set_ylabel.
Other Parameters: **kwargs Text properties. The label text. Spacing in points from the axes bounding box including ticks and tick labels. One simple way using subplots:. matplotlib.pyplot.setp sets a property on an artist object. Ticks are the markers denoting data points on axes. It might also be very helpful to include a They are from open source Python projects. Matplotlib has so far - in all our previous examples - automatically taken over the task of spacing points on the axis.Matplotlib's default tick locators and formatters are designed to be generally sufficient in many common situations. import matplotlib.pyplot as plt fig, axes = plt.subplots(3, 4, sharex=True, sharey=True) # add a big axes, hide frame fig.add_subplot(111, frameon=False) # hide tick and tick label of the big axes plt.tick_params(labelcolor='none', top='off', bottom='off', left='off', right='off') plt.grid(False) plt.xlabel("common X") plt.ylabel("common Y") Bug report Bug summary When using subplots, is there a fix to stop the title of the second subfigure from overlapping with the x-axis label of the first? Parameters: xlabel str. pyplot.subplots creates a figure and a grid of subplots with a single call, while providing reasonable control over how the individual plots are created. from matplotlib import pyplot as plt from datetime import datetime, timedelta xvalues = np.arange(10) yvalues = xvalues fig,ax = plt.subplots() plt.plot(xvalues, yvalues) plt.setp(ax.get_xticklabels(), fontsize=16) plt.grid(True) plt.show() You can see all the available methods for an axes instance here: The plots are related so I would like to keep them as the same figure. The following are code examples for showing how to use matplotlib.pyplot.xlabel().
fig,axes = plt.subplots(5,2,sharex=True,sharey=True,figsize=fig_size) for ax in axes: ax.set_xlabel('Common x-label') ax.set_ylabel('Common y-label') If you happen to want to change some details on a specific subplot, you can access it via axes[i] where i iterates over your subplots. (Compare these to plt.xlabel, etc., for the state-machine interface). The xlabel() function in pyplot module of matplotlib library is used to set the label for the x-axis.. Syntax: matplotlib.pyplot.xlabel(xlabel, fontdict=None, labelpad=None, **kwargs) Parameters: This method accept the following parameters that are described below: xlabel: This parameter is the label text. For more advanced use cases you can use GridSpec for a more general subplot layout or Figure.add_subplot for adding subplots at arbitrary locations within the figure. Likewise, to set a title, you need ax.set_title.