def main(): data, headers, categories = loadAccelerometerData(DATA_DIR, INPUT_FILES) if not os.path.exists(OUTPUT_DIR): os.makedirs(OUTPUT_DIR) outputFileTemplate = os.path.join(OUTPUT_DIR, 'sensortag_%s.csv') outputFiles = writeData(outputFileTemplate, data, headers, METRICS, categories, SLICES) categoryLabels = [f[:-9] for f in INPUT_FILES] for outputFile in outputFiles: plotSensorData([outputFile], markers=False, categoryLabels=categoryLabels)
def main(): dominoStats = { "SIGNAL_TYPES": SIGNAL_TYPES, "NUM_PHASES": NUM_PHASES, "NUM_REPS": NUM_REPS, "NUM_CATEGORIES": NUM_CATEGORIES, "WHITE_NOISE_AMPLITUDES": WHITE_NOISE_AMPLITUDES, "SIGNAL_AMPLITUDES": SIGNAL_AMPLITUDES, "SIGNAL_MEANS": SIGNAL_MEANS, "NOISE_LENGTHS": NOISE_LENGTHS } with open('dominostats.json', 'wb') as f: f.write(json.dumps(dominoStats)) filePaths = _generateExpData() plotSensorData(filePaths)
def main(): dominoStats = { "SLICES": SLICES, "METRICS": METRICS, "MAX_POINTS": MAX_POINTS, "INPUT_FILES": INPUT_FILES } with open('dominostats.json', 'wb') as f: f.write(json.dumps(dominoStats)) data, headers, categories = loadAccelerometerData(DATA_DIR, INPUT_FILES) if not os.path.exists(OUTPUT_DIR): os.makedirs(OUTPUT_DIR) outputFileTemplate = os.path.join(OUTPUT_DIR, 'sensortag_%s.csv') outputFiles = writeData(outputFileTemplate, data, headers, METRICS, categories, SLICES) categoryLabels = [f[:-9] for f in INPUT_FILES] for outputFile in outputFiles: plotSensorData([outputFile], markers=False, categoryLabels=categoryLabels)
def main(): csvFiles = _generateData() plotSensorData(csvFiles, SEQUENCE_LENGTH)
def main(): expSetups = _generateData() plotSensorData(expSetups)
def main(): filePaths = _generateExpData() plotSensorData(filePaths, xlim=[0, 100])
def main(): filePaths = _generateExpData() plt = plotSensorData(filePaths) plt.show()