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@@ -145,25 +145,25 @@
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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- "# read and merge label\n",
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- "df_l1 = pd.read_csv('20210830_080618A.csv')\n",
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- "df_l2 = pd.read_csv('20211025_080015A.csv')\n",
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- "df_label = pd.concat([df_l1, df_l2], ignore_index=True)\n",
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- "df_label.rename(columns={df_label.columns[1]:'timestamp', df_label.columns[2]:'label'}, inplace=True)\n",
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- "df_label['timestamp'] = pd.to_datetime(df_label.timestamp)\n",
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- "# filtering\n",
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- "df_label = df_label.loc[ (df_label['timestamp'] > '2021-01-01') ]\n",
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- "df_label.set_index('timestamp', inplace=True)\n",
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- "# resampling\n",
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- "df_label = df_label.resample(rule='T').max()\n",
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- "df_label = df_label[['label']]\n",
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+ "# # read and merge label\n",
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+ "# df_l1 = pd.read_csv('20210830_080618A.csv')\n",
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+ "# df_l2 = pd.read_csv('20211025_080015A.csv')\n",
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+ "# df_label = pd.concat([df_l1, df_l2], ignore_index=True)\n",
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+ "# df_label.rename(columns={df_label.columns[1]:'timestamp', df_label.columns[2]:'label'}, inplace=True)\n",
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+ "# df_label['timestamp'] = pd.to_datetime(df_label.timestamp)\n",
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+ "# # filtering\n",
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+ "# df_label = df_label.loc[ (df_label['timestamp'] > '2021-01-01') ]\n",
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+ "# df_label.set_index('timestamp', inplace=True)\n",
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+ "# # resampling\n",
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+ "# df_label = df_label.resample(rule='T').max()\n",
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+ "# df_label = df_label[['label']]\n",
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"\n",
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"\n",
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- "df_label = df_merge.join(df_label).resample(rule='T').max()\n",
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- "df_label_8030_0916 = df_label.loc[ '2021-08-30 08:00': '2021-09-16 18:00'].fillna(value=0)\n",
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- "df_label_1025_1103 = df_label.loc[ '2021-10-25 08:00': '2021-11-03 18:00'].fillna(value=0)\n",
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- "df_label.to_csv('df_labeled.csv')\n",
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- "df_label_1025_1103.to_csv('df_label_1025_1103.csv')\n",
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- "df_label_8030_0916.to_csv('df_label_8030_0916.csv')\n"
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+ "# df_label = df_merge.join(df_label).resample(rule='T').max()\n",
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+ "# df_label_8030_0916 = df_label.loc[ '2021-08-30 08:00': '2021-09-16 18:00'].fillna(value=0)\n",
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+ "# df_label_1025_1103 = df_label.loc[ '2021-10-25 08:00': '2021-11-03 18:00'].fillna(value=0)\n",
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+ "# df_label.to_csv('df_labeled.csv')\n",
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+ "# df_label_1025_1103.to_csv('df_label_1025_1103.csv')\n",
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+ "# df_label_8030_0916.to_csv('df_label_8030_0916.csv')\n"
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]
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]
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},
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},
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{
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{
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