7 examples of 'matplotlib multiple plots same figure' in Python

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345def __prepare_plot_with_matplotlib(
346 wrange, figsize, grid, wireframe, noaxis):
347 import matplotlib.pyplot as plt
348
349 fig = plt.figure(figsize=(figsize, figsize))
350 ax = fig.gca()
351 ax.set_aspect('equal')
352
353 # if wireframe:
354 # ax.w_xaxis.set_pane_color((0, 0, 0, 0))
355 # ax.w_yaxis.set_pane_color((0, 0, 0, 0))
356 # ax.w_zaxis.set_pane_color((0, 0, 0, 0))
357
358 ax.grid(grid)
359 ax.set_xlim(*wrange['x'])
360 ax.set_ylim(*wrange['y'])
361 ax.set_xlabel('X')
362 ax.set_ylabel('Y')
363
364 if noaxis:
365 ax.set_axis_off()
366
367 return (fig, ax)
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57def plot(X, y, title, min_label, maj_label, filename):
58 plt.figure(figsize= (4, 3))
59 plt.scatter(X[:,0][y == min_label], X[:,1][y == min_label], label='minority class', color='red', s=25)
60 plt.scatter(X[:,0][y == maj_label], X[:,1][y == maj_label], label='majority class', color='black', marker='*', s=25)
61 plt.xlabel('feature 0')
62 plt.ylabel('feature 1')
63 plt.title(title)
64 plt.legend()
65 plt.tight_layout()
66 plt.savefig(filename)
67 plt.show()
51def decorate_singleplot(ax, **kwarg):
52 ax.axis('tight')
53 ax.set_yscale('log')
54 ax.set(**kwarg)
261def subplot(self, axes, subfigure):
262 """
263 Draw a line plot on an :class:`matplotlib.axes` instance. The
264 data and labels are contained in a tuple. This will plot two
265 lines and a grey range (for displaying uncertainty). A grid is
266 added with a call to :meth:`RangeFigure.addGrid`.
267
268 :param axes: :class:`matplotlib.axes` instance.
269 :param tuple subfigure: Holds the data and labels to be added
270 to the subplot.
271 """
272 xdata, y1, y2, y2max, y2min, xlabel, ylabel, title = subfigure
273
274 axes.plot(xdata, y1, color='r', lw=2, label="")
275 axes.plot(xdata, y2, color='k', lw=2, label="")
276 self.addRange(axes, xdata, y2min, y2max)
277
278 axes.set_xlabel(xlabel)
279 axes.set_ylabel(ylabel)
280 axes.set_title(title)
281 axes.autoscale(True, axis='x', tight=True)
282 self.addGrid(axes)
15def plots(ims, figsize=(16, 8), rows=None, cols=None, interp=False, titles=None):
16 plt.figure(figsize=figsize)
17 cols, num_splits, rows = _set_params(cols, rows)
18
19 tmp_num_splits = len(ims) // num_splits
20 if tmp_num_splits * num_splits < len(ims):
21 tmp_num_splits += 1
22
23 for i in range(len(ims)):
24
25 if rows is not None:
26 sp = plt.subplot(num_splits, tmp_num_splits, i + 1)
27 if cols is not None:
28 sp = plt.subplot(tmp_num_splits, num_splits, i + 1)
29 sp.axis('Off')
30
31 if titles is not None:
32 sp.set_title(titles[i], fontsize=16)
33
34 plt.imshow(ims[i], interpolation=None if interp else 'none')
35 plt.show()
466def subplot(self, axes, subfigure):
467 """
468 Draw a range-compare plot on an :class:`matplotlib.axes`
469 instance, with a logarithmic scale on the x-axis. Data and
470 labels are contained in a tuple. x-ticks presented as integer
471 values. A grid is added with a call to
472 :meth:`RangeFigure.addGrid`.
473
474 :param axes: :class:`matplotlib.axes` instance.
475 :param tuple subfigure: Holds the data and labels to be added
476 to the subplot.
477
478 """
479 xdata, y1, y2, y2max, y2min, xlabel, ylabel, title = subfigure
480
481 axes.semilogx(xdata, y1, color='r', lw=2, label="", subsx=xdata)
482 axes.semilogx(xdata, y2, color='k', lw=2, label="", subsx=xdata)
483 self.addRange(axes, xdata, y2min, y2max)
484 ylim = (0., np.max([100, np.ceil(y2.max()/10.)*10.]))
485 axes.set_ylim(ylim)
486
487 axes.set_xlabel(xlabel)
488 axes.set_ylabel(ylabel)
489 axes.set_title(title)
490 self.addGrid(axes)
225def draw_plot(figure_label, x, y, i_labels, fnme, name, left_legend=False):
226 """
227 "blues": 0,
228 "country": 1,
229 "jazz": 2,
230 "pop": 3,
231 "rock": 4,
232 "classical": 5,
233 "disco": 6,
234 "hiphop": 7,
235 "metal": 8,
236 "reggae": 9
237 """
238 colors = root.colors
239
240 fig = pp.figure(figure_label)
241 ax = fig.add_subplot(111)
242 # ax.set_ylim(0, 1)
243 ax.set_title(name if len(name) else fnme, fontsize=root.title_fontsize)
244 for i in range(len(y)):
245 ax.plot(x, y[i], color=colors[i], label=i_labels[i], linewidth=4)
246 ax.fill_between(x, y[0], 0, color=colors[0])
247 for i in range(1, len(y)):
248 ax.fill_between(x, y[i], y[i - 1], color=colors[i])
249
250 if left_legend:
251 ax.legend(ncol=3, loc=2)
252 else:
253 ax.legend(ncol=3)

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