| /external/lisa/libs/utils/analysis/ |
| D | eas_analysis.py | 21 import matplotlib.pyplot as plt namespace
110 fig = plt.figure(figsize=(16, 8*2+4*2+2))
111 plt.suptitle("EnergyDiff Data",
115 axes = plt.subplot(gs[0, :])
126 axes = plt.subplot(gs[1, :])
144 axes = plt.subplot(gs[2, :])
159 axes = plt.subplot(gs[3, :])
175 fig = plt.figure(figsize=(16, 4))
178 axes = plt.subplot(gs[0, 0])
180 axes = plt.subplot(gs[0, 1])
[all …]
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| D | binder_transaction_analysis.py | 19 import matplotlib.pyplot as plt namespace
112 ax = plt.gca()
118 plt.show()
142 ax = plt.gca()
145 plt.show()
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| D | residency_analysis.py | 21 import matplotlib.pyplot as plt namespace
221 plt.style.use('ggplot')
237 colors = plt.rcParams['axes.color_cycle']
238 fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(8,8))
245 plt.setp(autotexts, fontproperties=proptease)
246 plt.setp(texts, fontproperties=proptease)
256 colors = plt.rcParams['axes.color_cycle']
257 fig, axes = plt.subplots(nrows=5, ncols=2, figsize=(12,30))
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| D | latency_analysis.py | 21 import matplotlib.pyplot as plt namespace
359 plt.figure(figsize=(16, 8))
367 axes = plt.subplot(gs[0,0:2])
383 axes = plt.subplot(gs[1,0])
391 axes = plt.subplot(gs[1,1])
453 plt.figure(figsize=(16, 2))
454 axes = plt.subplot(gs[0, 0])
564 plt.figure(figsize=(16, 8))
572 axes = plt.subplot(gs[0,0:2])
582 axes = plt.subplot(gs[1,0])
[all …]
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| D | tasks_analysis.py | 21 import matplotlib.pyplot as plt namespace
290 plt.figure(figsize=(16, ysize))
291 plt.suptitle('Task Signals',
298 axes = plt.subplot(gs[plot_id, 0])
310 axes = plt.subplot(gs[plot_id, 0])
326 axes = plt.subplot(gs[plot_id, 0])
383 fig, axes = plt.subplots(big_frequent_tasks_count, 1,
385 plt.subplots_adjust(wspace=0.1, hspace=0.2)
446 fig, axes = plt.subplots(2, 1, figsize=(14, 5))
447 plt.subplots_adjust(wspace=0.2, hspace=0.3)
[all …]
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| D | status_analysis.py | 23 import matplotlib.pyplot as plt namespace
94 plt.figure(figsize=(16, 1))
95 axes = plt.subplot(gs[0, 0])
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| D | irq_analysis.py | 20 import matplotlib.pyplot as plt namespace
63 fig, axes = plt.subplots()
64 plt.suptitle(title, y=.97, fontsize=16, horizontalalignment='center')
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| D | frequency_analysis.py | 21 import matplotlib.pyplot as plt namespace
186 freq_axis = plt.subplot(gs[:4, 0])
187 state_axis = plt.subplot(gs[4:, 0])
188 plt.suptitle(title, y=.97, fontsize=16, horizontalalignment='center')
289 fig, pltaxes = plt.subplots(2, 1, figsize=(16, 8))
290 plt.suptitle(title, y=.97, fontsize=16, horizontalalignment='center')
402 fig, pltaxes = plt.subplots(len(freq), 1, figsize=(16, 4 * plots_count))
778 fig = plt.figure()
783 plt.close(fig)
|
| /external/webrtc/webrtc/modules/remote_bitrate_estimator/test/ |
| D | plot_dynamics.py | 15 import matplotlib.pyplot as plt namespace
85 line = plt.plot(x, y, label=alg, linewidth=4.0)
104 plt.setp(line, color=colormap[key])
106 plt.setp(line, color='#AAAAAA')
108 plt.setp(line, color='#654321')
111 plt.setp(line, linestyle='--')
112 plt.grid(True)
115 _, x2, _, y2 = plt.axis()
118 plt.axis((0, x2, 0, y2))
121 plt.legend(loc='upper center', bbox_to_anchor=(0.5, 1.40),
[all …]
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| /external/walt/pywalt/pywalt/ |
| D | minimization.py | 115 import matplotlib.pyplot as plt namespace
117 plt.plot(xx, y, '.b')
127 plt.plot(xls, yls, 'o' + colors[side])
129 plt.plot(x_linear, a * x_linear + c, colors[side])
130 plt.xlabel('X')
131 plt.ylabel('Y')
132 plt.title('Laser events shifted %.2f ms' % (shift*1000))
133 plt.show()
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| /external/autotest/client/site_tests/firmware_TouchMTB/ |
| D | noise_summary.py | 10 import matplotlib.pyplot as plt namespace
194 plt.subplot(parse_report.num_iterations, 1, iteration)
195 plt.plot(frequencies, values)
197 plt.xlabel('Frequency (Hz)')
198 plt.ylabel('Number of problems')
199 plt.legend(("Iteration %d" % iteration,))
201 plt.title('Graphic Summary of Extended Noise Test')
202 plt.show()
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| /external/elfutils/tests/ |
| D | run-elfputzdata.sh | 32 Cannot compress 9 .rel.plt
34 Cannot compress 11 .plt
70 Cannot compress 9 .rel.plt
72 Cannot compress 11 .plt
109 Cannot compress 7 .rela.plt
111 Cannot compress 9 .plt
145 Cannot compress 7 .rela.plt
147 Cannot compress 9 .plt
186 Cannot compress 9 .rela.plt
200 Cannot compress 23 .plt
[all …]
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| /external/lisa/libs/utils/ |
| D | perf_analysis.py | 20 import matplotlib.pyplot as plt namespace
152 plt.figure(figsize=(16, 2*6));
154 plt.suptitle(title, y=.97, fontsize=16,
157 axes = plt.subplot(gs[0,0]);
165 axes = plt.subplot(gs[1,0]);
172 axes = plt.subplot(gs[0:2,1]);
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| /external/syslinux/com32/lib/i386/ |
| D | elf.ld | 50 .rel.plt : { *(.rel.plt) }
51 .rela.plt : { *(.rela.plt) }
56 .plt : { *(.plt) }
106 .got.plt : { *(.got.plt) }
|
| /external/scapy/scapy/contrib/ |
| D | pnio_rtc.py | 388 import matplotlib.pyplot as plt namespace
405 plt.subplot(rows, 1, cur_row)
406 plt.bar(index, vals, 0.8, color="r")
407 plt.xticks([i + 0.4 for i in index], index)
408 plt.title("Entropy from %s to %s" % comm)
410 plt.ylabel("Shannon Entropy")
412 plt.xlabel("Byte offset") # x label only on the last row
413 plt.legend()
415 plt.tight_layout()
416 plt.show()
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| /external/syslinux/com32/lib/x86_64/ |
| D | elf.ld | 51 .rel.plt : { *(.rel.plt); }
52 .rela.plt : { *(.rela.plt) }
57 .plt : { *(.plt) }
107 .got.plt : { *(.got.plt) }
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| /external/lisa/tools/analysis/ |
| D | run_binder_throughput_analysis.py | 23 import matplotlib.pyplot as plt namespace
91 plt.xlabel(xlabel)
92 plt.ylabel(ylabel)
93 ax = plt.gca()
95 plt.show()
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| /external/llvm/test/tools/llvm-readobj/ |
| D | gnu-phdrs.test | 40 … .gnu.hash .dynsym .dynstr .gnu.version .gnu.version_r .rel.dyn .rel.plt .init .plt .text .fini .r…
41 ELF32-NEXT: 03 .tdata .ctors .dtors .jcr .dynamic .got .got.plt .data .bss
71 …gnu.hash .dynsym .dynstr .gnu.version .gnu.version_r .rela.dyn .rela.plt .init .plt .text .fini .r…
72 ELF64-NEXT: 03 .tdata .init_array .fini_array .jcr .dynamic .got .got.plt .data .bss
|
| /external/trappy/trappy/wa/ |
| D | results.py | 24 from matplotlib import pyplot as plt unknown
33 _, self.ax = plt.subplots()
38 (_, _, plot_y_min, plot_y_max) = plt.axis()
73 plt.legend(bbox_to_anchor=(1.05, .5), loc=6)
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| /external/llvm/test/MC/SystemZ/ |
| D | fixups.s | 35 brasl %r14, target@plt
43 brasl %r14, target@plt:tls_gdcall:sym
51 brasl %r14, target@plt:tls_ldcall:sym
63 bras %r14, target@plt
71 bras %r14, target@plt:tls_gdcall:sym
79 bras %r14, target@plt:tls_ldcall:sym
|
| /external/scapy/scapy/ |
| D | plist.py | 20 from scapy.consts import plt, MATPLOTLIB_INLINED, MATPLOTLIB_DEFAULT_PLOT_KARGS
159 lines = plt.plot(*zip(*l), **kargs)
161 lines = plt.plot(l, **kargs)
165 plt.show()
188 lines = plt.plot(l, **kargs)
192 plt.show()
219 lines = [plt.plot(*zip(*pl), **dict(kargs, label=k))
222 lines = [plt.plot(pl, **dict(kargs, label=k))
224 plt.legend(loc="center right", bbox_to_anchor=(1.5, 0.5))
228 plt.show()
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| D | consts.py | 15 import matplotlib.pyplot as plt namespace
24 plt = None variable
|
| /external/trappy/trappy/ |
| D | thermal.py | 71 from matplotlib import pyplot as plt unknown
99 plt.legend()
136 from matplotlib import pyplot as plt unknown
156 plt.legend()
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| /external/tensorflow/tensorflow/examples/tutorials/word2vec/ |
| D | word2vec_basic.py | 324 plt.figure(figsize=(18, 18)) # in inches
327 plt.scatter(x, y)
328 plt.annotate(
336 plt.savefig(filename)
342 import matplotlib.pyplot as plt namespace
|
| /external/syslinux/gnu-efi/gnu-efi-3.0/gnuefi/ |
| D | elf_ia32_efi.lds | 19 *(.got.plt)
34 *(.got.plt)
|