![]() labels and ticks) on the topmost x-axis: Automatic positioning can be turned off by manually specifying the y. The vertical position is automatically chosen to avoid decorations (i.e. settitle ('Simple plot') Create two subplots and unpack the output array immediately f, (ax1, ax2) plt. Matplotlib can display plot titles centered, flush with the left side of a set of axes, and flush with the right side of a set of axes. In addition to center, which is the default option, we have other options: left and. ![]() If you are not satisfied with the new title position, choose by trial and error a suitable x for each cell: (x=0.025)įig.(x=0.025)įig.(x=0.575)įig.(x=0. sin (x 2) Create just a figure and only one subplot fig, ax plt. By default, the title is placed at the center near the top of the graph. Looking at the xaxis for each subplot cell, we deduce the leftmost position for titles: x=0, 0.55, 0, 0.55. For the first answer: For the first answer: legend plt.legend(handlesone, two, three, loc4, fontsize'small', fancyboxTrue) ttitle('title') plt.gca().getlegend().settitle() if you didn't store the legend in an object or you're loading a. ![]() It also opens figures on your screen, and acts as the figure GUI manager. It provides an implicit, MATLAB-like, way of plotting. Hence we have to update the x-coordinate of each text that defines the title. In case you have an already created legend, you can modify its title with settitle(). matplotlib.pyplot is a state-based interface to matplotlib. subplot subplot (nrows, ncols, index, kwargs) subplot (pos, kwargs. We have 4 annotations, one for each subplot, that define the title position. Matplotlib pyplot subplot () subplots (). We define these subplots: from plotly.subplots import make_subplots
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