return back to storage database
Browse files- physical_db/physical_database.csv +1 -0
- utils/utils_vars.py +2 -2
physical_db/physical_database.csv
CHANGED
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@@ -4682,3 +4682,4 @@
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| 4682 |
6613,1,6613_1,40,-8.167444,10.781694,57.4,2,2
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| 4683 |
6613,2,6613_2,130,-8.167444,10.781694,57.4,2,2
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| 4684 |
6613,3,6613_3,290,-8.167444,10.781694,57.4,2,2
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| 4682 |
6613,1,6613_1,40,-8.167444,10.781694,57.4,2,2
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| 4683 |
6613,2,6613_2,130,-8.167444,10.781694,57.4,2,2
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| 4684 |
6613,3,6613_3,290,-8.167444,10.781694,57.4,2,2
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| 4685 |
+
1424,1,1424_1,120,7.9318982,12.66053852,0,0,0
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utils/utils_vars.py
CHANGED
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@@ -1,7 +1,8 @@
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| 1 |
import numpy as np
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| 2 |
import pandas as pd
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-
url = "https://raw.githubusercontent.com/DavMelchi/STORAGE/refs/heads/main/physical_db/physical_database.csv"
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def get_physical_db():
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@@ -13,7 +14,6 @@ def get_physical_db():
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Returns:
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pd.DataFrame: A DataFrame containing the filtered columns.
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"""
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-
# physical = pd.read_csv(r"./physical_db/physical_database.csv")
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physical = pd.read_csv(url)
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physical = physical[["Code_Sector", "Azimut", "Longitude", "Latitude", "Hauteur"]]
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return physical
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import numpy as np
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import pandas as pd
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+
# url = "https://raw.githubusercontent.com/DavMelchi/STORAGE/refs/heads/main/physical_db/physical_database.csv"
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+
url = r"./physical_db/physical_database.csv"
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def get_physical_db():
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Returns:
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pd.DataFrame: A DataFrame containing the filtered columns.
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"""
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physical = pd.read_csv(url)
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physical = physical[["Code_Sector", "Azimut", "Longitude", "Latitude", "Hauteur"]]
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return physical
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