| /external/tensorflow/tensorflow/contrib/timeseries/examples/ |
| known_anomaly.py | 31 from matplotlib import pyplot # pylint: disable=g-import-not-at-top
151 pyplot.figure()
152 pyplot.plot(training_times, observed, "b", label="training series")
153 pyplot.plot(all_times, mean, "r", label="forecast")
154 pyplot.axvline(anomaly_locations[0], linestyle="dotted", label="changepoints")
156 pyplot.axvline(anomaly_location, linestyle="dotted")
157 pyplot.fill_between(all_times, lower_limit, upper_limit, color="grey",
159 pyplot.axvline(training_times[-1], color="k", linestyle="--")
160 pyplot.xlabel("time")
161 pyplot.ylabel("observations"
[all...] |
| predict.py | 32 from matplotlib import pyplot # pylint: disable=g-import-not-at-top
105 pyplot.figure()
106 pyplot.plot(training_times, observed, "b", label="training series")
107 pyplot.plot(all_times, mean, "r", label="forecast")
108 pyplot.plot(all_times, upper_limit, "g", label="forecast upper bound")
109 pyplot.plot(all_times, lower_limit, "g", label="forecast lower bound")
110 pyplot.fill_between(all_times, lower_limit, upper_limit, color="grey",
112 pyplot.axvline(training_times[-1], color="k", linestyle="--")
113 pyplot.xlabel("time")
114 pyplot.ylabel("observations"
[all...] |
| multivariate.py | 34 from matplotlib import pyplot # pylint: disable=g-import-not-at-top
111 pyplot.axvline(1000, linestyle="dotted")
112 pyplot.plot(all_times, all_observations)
113 pyplot.show()
|
| lstm.py | 35 from matplotlib import pyplot # pylint: disable=g-import-not-at-top
285 pyplot.axvline(99, linestyle="dotted")
286 observed_lines = pyplot.plot(
288 predicted_lines = pyplot.plot(
290 pyplot.legend(handles=[observed_lines[0], predicted_lines[0]],
292 pyplot.show()
|
| /external/webrtc/tools/cpu/ |
| cpu_mon.py | 16 from matplotlib import pyplot
72 pyplot.title('CPU usage')
75 pyplot.plot(s.samples, label=s.Text(), linewidth=2)
77 pyplot.legend()
79 pyplot.show()
|
| /cts/apps/CameraITS/tests/inprog/ |
| test_blc_lsc.py | 21 import matplotlib.pyplot
89 fig = matplotlib.pyplot.figure()
94 matplotlib.pyplot.savefig("%s_plot_means_center.png" % (NAME))
96 fig = matplotlib.pyplot.figure()
101 matplotlib.pyplot.savefig("%s_plot_means_corner.png" % (NAME))
|
| test_param_black_level_lock.py | 21 import matplotlib.pyplot
68 matplotlib.pyplot.savefig("%s_plot_histograms.png" % (NAME))
|
| test_param_edge_mode.py | 21 import matplotlib.pyplot
|
| test_black_level.py | 21 import matplotlib.pyplot
91 matplotlib.pyplot.savefig("%s_plot_histograms.png" % (NAME))
|
| test_3a_remote.py | 22 import matplotlib.pyplot
|
| test_burst_sameness_fullres_auto.py | 23 import matplotlib.pyplot
|
| /external/fonttools/Lib/fontTools/varLib/ |
| plot.py | 8 from matplotlib import pyplot
26 for loc, color in zip(locations, cycle(pyplot.cm.Set1.colors)):
74 zip(model.supports, cycle(pyplot.cm.Set1.colors), cycle(names))
80 pyplot.xlim(-1.,+1.)
97 zip(model.supports, cycle(pyplot.cm.Set1.colors), cycle(names))
104 pyplot.xlim(-1.,+1.)
105 pyplot.ylim(-1.,+1.)
153 fig = pyplot.figure()
165 pyplot.show()
|
| /cts/apps/CameraITS/tests/scene1/ |
| test_burst_sameness_manual.py | 23 import matplotlib.pyplot
92 matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME))
|
| test_param_noise_reduction.py | 21 import matplotlib.pyplot
119 matplotlib.pyplot.savefig("%s_plot_SNRs.png" % (NAME))
|
| test_raw_sensitivity.py | 20 import matplotlib.pyplot
94 matplotlib.pyplot.savefig("%s_variances.png" % NAME)
|
| test_yuv_jpeg_all.py | 25 import matplotlib.pyplot
88 matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME))
|
| test_capture_result.py | 20 import matplotlib.pyplot
106 fig = matplotlib.pyplot.figure()
113 matplotlib.pyplot.savefig("%s_plot_lsc_%s_ch%d.png"%(NAME, name, ch))
|
| /cts/apps/CameraITS/tests/sensor_fusion/ |
| test_multi_camera_frame_sync.py | 82 matplotlib.pyplot.figure("Camera Rotation Angle")
90 matplotlib.pyplot.savefig("%s_angles_plot.png" % (NAME))
92 matplotlib.pyplot.figure("Angle Diffs")
99 matplotlib.pyplot.savefig("%s_angle_diffs_plot.png" % (NAME))
|
| /cts/suite/cts/utils/ |
| grapher.py | 19 import matplotlib.pyplot as plt
|
| /external/perfetto/tools/ |
| analyze_pipestats.py | 21 from matplotlib import pyplot as plt
|
| analyze_profiling_sampling_distribution.py | 25 from matplotlib import pyplot as plt
|
| /external/v8/tools/ignition/ |
| bytecode_dispatches_report.py | 12 from matplotlib import pyplot
260 figure, axis = pyplot.subplots()
264 pyplot.show()
268 pyplot.savefig(program_options.output_filename)
|
| /cts/apps/CameraITS/tests/ |
| tutorial.py | 40 import matplotlib.pyplot
174 matplotlib.pyplot.savefig("%s_histogram.png" % (NAME))
|
| /cts/apps/CameraITS/tests/scene0/ |
| test_jitter.py | 61 matplotlib.pyplot.savefig('%s_deltas.png' % (NAME))
|
| /external/scapy/scapy/ |
| consts.py | 15 import matplotlib.pyplot as plt
|
