From aaab80f556dfa401e06992aa2b00fcdb848c584c Mon Sep 17 00:00:00 2001 From: Christine Leclerc <64504525+xine-leclerc@users.noreply.github.com> Date: Fri, 11 Dec 2020 14:15:57 -0800 Subject: [PATCH] Update Network Hydraulic Scaling Research App.ipynb --- Network Hydraulic Scaling Research App.ipynb | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/Network Hydraulic Scaling Research App.ipynb b/Network Hydraulic Scaling Research App.ipynb index 9ff11d6..0a2d2bf 100644 --- a/Network Hydraulic Scaling Research App.ipynb +++ b/Network Hydraulic Scaling Research App.ipynb @@ -90,7 +90,7 @@ "outputs": [], "source": [ "# Create data frame\n", - "dMeta = pd.read_csv('https://www.hydroshare.org/resource/a3b06e4eafd1489699933a81226aafce/data/contents/ws_metadata.csv')\n", + "dMeta = pd.read_csv('https://www.hydroshare.org/resource/76ebc18852cc41e48d4ee83902bc0a7d/data/contents/ws_metadata.csv')\n", "\n", "# Create arrays\n", "areaM2 = []\n", @@ -1731,7 +1731,7 @@ "\n", "# Get watershed metadata\n", "dMeta = pd.read_csv(\n", - " 'https://www.hydroshare.org/resource/a3b06e4eafd1489699933a81226aafce/data/contents/ws_metadata.csv')\n", + " 'https://www.hydroshare.org/resource/76ebc18852cc41e48d4ee83902bc0a7d/data/contents/ws_metadata.csv')\n", "\n", "# Get Köppen Classification System per Chen and Chen, http://hanschen.org/koppen/#data\n", "dKoppen = pd.read_csv(\n", @@ -1895,7 +1895,7 @@ "source": [ "# Create data frames\n", "dMeta = pd.read_csv(\n", - " 'https://www.hydroshare.org/resource/a3b06e4eafd1489699933a81226aafce/data/contents/ws_metadata.csv')\n", + " 'https://www.hydroshare.org/resource/76ebc18852cc41e48d4ee83902bc0a7d/data/contents/ws_metadata.csv')\n", "d = pd.DataFrame(\n", " {'Watershed': ['Bull Creek', 'Caspar Creek', 'CWT12', 'Duke Forest', 'Elder Creek', 'FNW37', 'HB13', 'HB42', 'Pioneer Creek', 'Providence', 'River Ray', 'Sagehen Creek', 'Upper Studibach', 'Yellow Barn'],\n", " 'PointColour': ['#fcfe04', '#cecc08', '#63fd32', '#c5fe4b', '#cecc08', '#63fd32', '#3cc4f8', '#3cc4f8', '#3cc4f8', '#cecc08', '#63fd32', '#c900c4', '#63fd32', '#3cc4f8'],\n", @@ -2006,7 +2006,7 @@ "source": [ "# Access watershed metadata\n", "dMeta = pd.read_csv(\n", - " 'https://www.hydroshare.org/resource/a3b06e4eafd1489699933a81226aafce/data/contents/ws_metadata.csv')\n", + " 'https://www.hydroshare.org/resource/76ebc18852cc41e48d4ee83902bc0a7d/data/contents/ws_metadata.csv')\n", "\n", "# Create arrays\n", "alpha = []\n", @@ -2085,7 +2085,7 @@ ], "source": [ "# Create data frame\n", - "dMeta = pd.read_csv('https://www.hydroshare.org/resource/a3b06e4eafd1489699933a81226aafce/data/contents/ws_metadata.csv')\n", + "dMeta = pd.read_csv('https://www.hydroshare.org/resource/76ebc18852cc41e48d4ee83902bc0a7d/data/contents/ws_metadata.csv')\n", "dMeta = dMeta.drop(['ws_name_sub', 'gauge_id', 'gauge_name', 'gauge_lat_decdeg', 'gauge_lon_decdeg', 'q_url', 'gauge_elev_m', 'q_start', 'q_stop', 'ws_elev_avg_m', 'ws_soil', 'ws_bedrock', 'ws_climate', 'ws_precip_mm_per_yr'], axis=1)\n", "dMeta = dMeta.reset_index()\n", "\n", @@ -2199,7 +2199,7 @@ " return hydrograph\n", "\n", "# Create data frame for watershed metadata \n", - "dMeta = pd.read_csv('https://www.hydroshare.org/resource/a3b06e4eafd1489699933a81226aafce/data/contents/ws_metadata.csv')\n", + "dMeta = pd.read_csv('https://www.hydroshare.org/resource/76ebc18852cc41e48d4ee83902bc0a7d/data/contents/ws_metadata.csv')\n", "dMeta = dMeta.reset_index()\n", "\n", "# Print results table header\n",