![]() Title += plot.getRangeAxis(rangeIndex).getLabel() if len(title) = 0 else ' vs ' + plot.getRangeAxis(rangeIndex). To set the titles for subplots, however, you have to use the respective subplots axes objects settitle(). The legend parameter sets the title for the layer legend (i.e., when using label in Plot.add() ). , img100, in order to draw them in order, I used plt.subplots to divide the figure area. When using a single subplot, title sets its title. I used matplotlib.pyplot to plot a list of images img1, img2. ![]() If chart.getPlot().getPlotType() = 'Combined_Domain_XYPlot': pyplot objects title() method to set its title. How to set a single, main title above all the subplots (3 answers) Closed last year. If there are subplots in use then the type will be CombinedDomainXYPlot.Ĭode now looks like this: from import NumberAxis Here are the changes I made to the last bit of your code: fig plt.figure (figsize (6,6)) 6圆 image ax plt.gca () SubplotZero (fig,111,) Plot arrows over figure fig.addsubplot (ax) Plot arrows over figure Plot both nulcines on same graph plt.axis ( (0,1,0,1)) ax.settitle ('v 1',fontweight'bold', size20) Title ax.setylabel. The only way I know to do this is to check the type of chart.getPlot(). One has to fiddle with pl.subplotsadjust (hspace), which is annoying. With, say, 3 rows of subplots in matplotlib, xlabels of one row can overlap the title of the next. We need to make sure that there are subplots defined. Matplotlib subplotsadjust hspace so titles and xlabels don't overlap duplicate Closed last year. Add a title to each subplot, and then add an overall title to the subplot grid. Note: This is untested so might need a few tweaks, but should get you close.Īlso, I shamelessly stole the code provided by I threw together something to give this a try and the code as I have it produced the results I expected, with 1 exception. tLabelFont(Font("Tahoma", Font.BOLD, 16)) Title += plot.getRangeAxis(rangeIndex).getLabel() if len(title) = 0 else 'vs ' + plot.getRangeAxis(rangeIndex).getLabel() It is possible to Access those labels, but it is complicated by the fact that there can possibly be more than one Range Axis assigned to a sub plot, and you would need to decide how that is handled.Īs an example, you could do something like the following: from import NumberAxisįor index, plot in enumerate(chart.getPlot().getSubplots()):įor rangeIndex in range(plot.getRangeAxisCount()): So, those Labels are for the Range Axis, in this case that is what is traditionally called the Y-Axis.
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