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poi_df function cleaned up a bit #74

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Mar 17, 2025
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20 changes: 0 additions & 20 deletions 0_Workspace_setup.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -119,26 +119,6 @@
"jupyter_black.load()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5353538e-4099-4a1c-937e-ee781ef57d37",
"metadata": {},
"outputs": [],
"source": [
"#!pip install nbqa"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "740df1cc-43f0-4ec7-8ff5-6ad13a2583cd",
"metadata": {},
"outputs": [],
"source": [
"#!nbqa ruff 6_Streamflow_Output_Visualization.ipynb"
]
},
{
"cell_type": "markdown",
"id": "851d845f-9086-4d43-8864-ffd1a2b4a398",
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36 changes: 0 additions & 36 deletions 2_Model_Hydrofabric_Visualization.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -44,42 +44,6 @@
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "57359be0-4ddf-42b4-9168-48b50695486c",
"metadata": {},
"outputs": [],
"source": [
"# poi_df = create_poi_df(\n",
"# model_dir,\n",
"# param_filename,\n",
"# control_file_name,\n",
"# hru_gdf,\n",
"# gages_file,\n",
"# default_gages_file,\n",
"# nwis_gage_nobs_min,\n",
"# )"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7860ced9-da52-4314-a7d0-a852501df4c4",
"metadata": {},
"outputs": [],
"source": [
"print(gages_file)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "981b533f-c1b0-436c-8d09-3ae4c643b20e",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"id": "4db74d32",
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61 changes: 20 additions & 41 deletions NHM_helpers/NHM_hydrofabric.py
Original file line number Diff line number Diff line change
Expand Up @@ -286,27 +286,16 @@ def create_poi_df(
)

for idx, row in poi_df.iterrows():
if pd.isnull(row["latitude"]):
new_poi_id = row["poi_id"]
new_lat = gages_df.loc[
gages_df.index == row["poi_id"], "latitude"
].values[0]
new_lon = gages_df.loc[
gages_df.index == row["poi_id"], "longitude"
].values[0]
new_poi_agency = gages_df.loc[
gages_df.index == row["poi_id"], "poi_agency"
].values[0]
new_poi_name = gages_df.loc[
gages_df.index == row["poi_id"], "poi_name"
].values[0]

poi_df.loc[idx, "latitude"] = new_lat
poi_df.loc[idx, "longitude"] = new_lon
poi_df.loc[idx, "poi_id"] = new_poi_id
poi_df.loc[idx, "poi_agency"] = new_poi_agency
poi_df.loc[idx, "poi_name"] = new_poi_name

"""
Checks the gages_df for missing meta data and replace.
"""
columns = ["latitude", "longitude", "poi_name", "poi_agency"]
for item in columns:
if pd.isnull(row[item]):
new_poi_id = row["poi_id"]
new_item = gages_df.loc[gages_df.index == row["poi_id"], item].values[0]
poi_df.loc[idx, item] = new_item

else:
pass
if default_gages_file.exists():
Expand All @@ -317,26 +306,16 @@ def create_poi_df(
)

for idx, row in poi_df.iterrows():
if pd.isnull(row["latitude"]):
new_poi_id = row["poi_id"]
new_lat = gages_df.loc[
gages_df.index == row["poi_id"], "latitude"
].values[0]
new_lon = gages_df.loc[
gages_df.index == row["poi_id"], "longitude"
].values[0]
new_poi_agency = gages_df.loc[
gages_df.index == row["poi_id"], "poi_agency"
].values[0]
new_poi_name = gages_df.loc[
gages_df.index == row["poi_id"], "poi_name"
].values[0]

poi_df.loc[idx, "latitude"] = new_lat
poi_df.loc[idx, "longitude"] = new_lon
poi_df.loc[idx, "poi_id"] = new_poi_id
poi_df.loc[idx, "poi_agency"] = new_poi_agency
poi_df.loc[idx, "poi_name"] = new_poi_name
"""
Checks the gages_df for missing meta data and replace.
"""
columns = ["latitude", "longitude", "poi_name", "poi_agency"]
for item in columns:
if pd.isnull(row[item]):
new_poi_id = row["poi_id"]
new_item = gages_df.loc[gages_df.index == row["poi_id"], item].values[0]
poi_df.loc[idx, item] = new_item

else:
pass

Expand Down