39 lines
764 B
Python
39 lines
764 B
Python
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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import sys
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df = pd.read_csv(f"/rapids/data/raw/p03/empatica_accelerometer_raw.csv")
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df['date'] = pd.to_datetime(df['timestamp'],unit='ms')
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df.set_index('date', inplace=True)
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print(df)
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df = df['double_values_0'].resample("31ms").mean()
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print(df)
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st='2021-05-21 12:28:27'
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en='2021-05-21 12:59:12'
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df = df.loc[(df.index > st) & (df.index < en)]
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plt.plot(df)
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plt.savefig(f'NaN.png')
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sys.exit()
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plt.plot(df)
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esm = pd.read_csv(f"/rapids/data/raw/p03/phone_esm_raw.csv")
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esm['date'] = pd.to_datetime(esm['timestamp'],unit='ms')
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esm = esm[esm['date']]
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esm.set_index('date', inplace=True)
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print(esm)
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esm = esm['esm_session'].resample("2900ms").mean()
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plt.plot(esm)
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plt.savefig(f'NaN.png')
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