fix: sort out error in min_max
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				| @ -1,5 +1,6 @@ | |||||||
| import pandas as pd | import pandas as pd | ||||||
| from pathlib import Path | from pathlib import Path | ||||||
|  | import numpy as np | ||||||
| 
 | 
 | ||||||
| from pandas.core.frame import DataFrame | from pandas.core.frame import DataFrame | ||||||
| 
 | 
 | ||||||
| @ -42,8 +43,8 @@ def get_emg_str(emg_nr): | |||||||
|     return 'emg' + str(emg_nr) |     return 'emg' + str(emg_nr) | ||||||
| 
 | 
 | ||||||
| def get_min_max_timestamp(df:DataFrame): | def get_min_max_timestamp(df:DataFrame): | ||||||
|     min = df['timestamp'].min() |     min = int(np.floor(df['timestamp'].min())) | ||||||
|     max = df['timestamp'].max() |     max = int(np.ceil(df['timestamp'].max())) | ||||||
|     return min, max |     return min, max | ||||||
| 
 | 
 | ||||||
| 
 | 
 | ||||||
|  | |||||||
| @ -100,7 +100,6 @@ def load_user_emg_data(): | |||||||
| def prep_df_for_trans(df:DataFrame): | def prep_df_for_trans(df:DataFrame): | ||||||
|     sample_rate = SAMPLE_RATE |     sample_rate = SAMPLE_RATE | ||||||
|     min, duration = Handler.get_min_max_timestamp(df) |     min, duration = Handler.get_min_max_timestamp(df) | ||||||
|     print(duration) |  | ||||||
|     x = np.linspace(0, duration, SAMPLE_RATE * duration, endpoint=False) |     x = np.linspace(0, duration, SAMPLE_RATE * duration, endpoint=False) | ||||||
|     y = np.array(df.iloc(1)) |     y = np.array(df.iloc(1)) | ||||||
|     return x, y, duration |     return x, y, duration | ||||||
|  | |||||||
										
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