subplots ( 2, 2, sharex = True, sharey = True ) # Creates figure number 10 with a single subplot # and clears it if it already exists. The Matlab behavior is explained in the Figure Setup - Displaying Multiple Plots per. The answer from Constantin is spot on but for more background this behavior is inherited from Matlab. Alternative form for addsubplot (111) is addsubplot (1, 1, 1). subplots ( 2, 2, sharex = 'all', sharey = 'all' ) # Note that this is the same as plt. For example, '111' means '1x1 grid, first subplot' and '234' means '2x3 grid, 4th subplot'. subplots ( 2, 2, sharey = 'row' ) # Share both X and Y axes with all subplots plt. subplots ( 2, 2, sharex = 'col' ) # Share a Y axis with each row of subplots plt. The integer that you provide to subplot is actually 3 parts: first digit: number of rows second digit: number of columns third digit: index So for each call to subplots we specify how the plot area should be divided (using rows and cols) and then which area to put the plot in (using index), see images below. scatter ( x, y ) # Share a X axis with each column of subplots plt. subplots ( 2, 2, subplot_kw = dict ( polar = True )) axes. scatter ( x, y ) # Creates four polar axes, and accesses them through the returned array fig, axes = plt. set_title ( 'Simple plot' ) # Creates two subplots and unpacks the output array immediately f, ( ax1, ax2 ) = plt. sin ( x ** 2 ) # Creates just a figure and only one subplot fig, ax = plt. Theĭimensions of the resulting array can be controlled with the squeeze **fig_kwĪll additional keyword arguments are passed to theįig : Figure ax : axes.Axes object or array of Axes objects.Īx can be either a single Axes object or anĪrray of Axes objects if more than one subplot was created. Pass no arguments to return the current values without modifying them. Get or set the current tick locations and labels of the x-axis. subplot_kw : dict, optionalĭict with keywords passed to the GridSpecĬonstructor used to create the grid the subplots are placed on. (ticksNone, labelsNone,, minorFalse, kwargs) source. Num : integer or string, optional, default: NoneĪ pyplot.figure keyword that sets the figure number or label. The code to do it is: fig, a plt.subplots (2, 2, figsize (12, 6), tightlayoutTrue) df.plot (axa, subplotsTrue, rot60) To test the above code I. so it doesnt take up space for the contourf axis and thus muck up the x-axis sharing). If False, no squeezing at all is done: the returned Axes object isĪlways a 2D array containing Axes instances, even if it ends up Draw a plot from your DataFrame, passing: ax - the ax result from subplots (here it is an array of Axes objects, not a single Axes ), subplotsTrue - to draw each column in a separate subplot. This is a very similar question to 'How to plot pcolor colorbar in a different subplot - matplotlib'.I am trying to plot a filled contour plot and a line plot with a shared axis and the colorbar in a separate subplot (i.e. for NxM, subplots with N>1 and M>1 are returned as a 2D array.for Nx1 or 1xM subplots, the returned object is a 1D numpy.Resulting single Axes object is returned as a scalar. if only one subplot is constructed (nrows=ncols=1), the.
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