smiuser/hpos-data
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

add classification column

Browse Source
This commit is contained in:
Pritimay Sarkar
2023-09-18 12:14:57 +05:30
parent 10502399b7
commit 3821421235
1 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
scripts/consolidated_data.py
View File

@@ -16,7 +16,7 @@ if __name__ == "__main__":
else: else:
path_delim = '/' path_delim = '/'
key_file_path = os.getcwd() + path_delim + "keys" + path_delim + "hpos-prod-firebase-adminsdk-bionp-7af43fc5d6.json" key_file_path = os.getcwd() + path_delim + "keys" + path_delim + "hpos-preprod-firebase-adminsdk-d6jjt-ae42ad0f67.json"
cred = credentials.Certificate(key_file_path) # Replace with your own service account key path cred = credentials.Certificate(key_file_path) # Replace with your own service account key path
firebase_admin.initialize_app(cred) firebase_admin.initialize_app(cred)
@@ -79,7 +79,7 @@ if __name__ == "__main__":
df = df[(df['testTime'] > start_date) & (df['testTime'] <= end_date)] df = df[(df['testTime'] > start_date) & (df['testTime'] <= end_date)]
df = df.sort_values(by=['testTime'], ascending=False) df = df.sort_values(by=['testTime'], ascending=False)
df = df[["_id", "calculatedRatio", "deviceId", "deviceRatio", "deviceType", "kitSerial", "led1Average", "led1Buffer", "led1Sample", "led2Average", "led2Buffer", "led2Sample", "location", "deviceSerialNumber", "name", "testTime"]] df = df[["_id", "calculatedRatio", "deviceId", "deviceRatio", "deviceType", "kitSerial", "led1Average", "led1Buffer", "led1Sample", "led2Average", "led2Buffer", "led2Sample", "location", "deviceSerialNumber", "name", "testTime", "classificationResult"]]
# df.rename(columns={'deviceSerialNumber': "login_id", "calculatedRatio": "calibrated_ratio", "led1Buffer": "427_buffer_intensity", "led2Buffer": "555_buffer_intensity", "led1Sample": "427_sample_intensity", "led2Sample": "555_sample_intensity", "led1Average": "427_absorbance", "led2Average": "555_absorbance"}, inplace = True) # df.rename(columns={'deviceSerialNumber': "login_id", "calculatedRatio": "calibrated_ratio", "led1Buffer": "427_buffer_intensity", "led2Buffer": "555_buffer_intensity", "led1Sample": "427_sample_intensity", "led2Sample": "555_sample_intensity", "led1Average": "427_absorbance", "led2Average": "555_absorbance"}, inplace = True)
df = df.reindex(sorted(df.columns), axis=1) df = df.reindex(sorted(df.columns), axis=1)