fix: fixed dependency

Author: jlerat

hydrodiy/data/dutils.py

@@ -127,7 +127,7 @@ def compute_aggindex(time, timestep):
                         f" timestep={timestep}."
             assert mth in allowed, errmsg
     else:
-        allowed = ["D", "H", "MS"]
+        allowed = ["D", "h", "MS"]
         errmsg = f"Expected time step in {'/'.join(allowed)}, got {timestep}."
         assert timestep in allowed, errmsg
 
@@ -140,7 +140,7 @@ def compute_aggindex(time, timestep):
         return time.year*100+time.month
     elif timestep == "D":
         return time.year*10000+time.month*100+time.day
-    elif timestep == "H":
+    elif timestep == "h":
         return time.year*1000000+time.month*10000\
                     +time.day*100+time.hour
 
@@ -501,7 +501,7 @@ def var2h(se, nbsec_per_period=3600, maxgapsec=5*86400, rainfall=False, display=
         raise ValueError(f"c_hydrodiy_data.var2h returns {ierr}")
 
     # Convert to hourly series
-    freq = "H" if nbsec_per_period == 3600 else "30min"
+    freq = "h" if nbsec_per_period == 3600 else "30min"
     dt = pd.date_range(hstart, freq=freq, periods=nvalh)
     hvalues = pd.Series(hvalues, index=dt)
 

hydrodiy/data/tests/test_hydata_dutils.py

@@ -282,7 +282,7 @@ def test_combi(allclose):
 @pytest.mark.skipif(not has_c_module("data", False), reason=SKIPMESS)
 def test_var2h_hourly(allclose):
     nval = 24*365*20
-    dt = pd.date_range(start="1968-01-01", freq="H", periods=nval)
+    dt = pd.date_range(start="1968-01-01", freq="h", periods=nval)
     se = pd.Series(np.arange(nval), index=dt)
 
     seh = dutils.var2h(se, display=True)
@@ -531,14 +531,14 @@ def test_compute_aggindex(allclose):
     m = dutils.compute_aggindex(t, "MS")
     assert allclose(m, t.year*100+t.month)
 
-    t = pd.date_range("2003-01-01", "2004-12-31", freq="H")
+    t = pd.date_range("2003-01-01", "2004-12-31", freq="h")
     d = dutils.compute_aggindex(t, "D")
     assert np.unique(d).shape[0] == 731
     assert d[-1] == 20041231
 
     t = pd.date_range("2003-01-01 00:00:00", \
                     "2003-01-10 23:00:00", freq="min")
-    h = dutils.compute_aggindex(t, "H")
+    h = dutils.compute_aggindex(t, "h")
     assert np.unique(h).shape[0] == 240
     assert h[-1] == 2003011023
 

hydrodiy/gis/grid.py

@@ -2,7 +2,6 @@
 
 import re, os
 from pathlib import Path
-import pkg_resources
 import math
 import copy
 import zipfile
@@ -39,8 +38,8 @@
                             [8, 4, 2]]).astype(np.int64)
 
 # Path to hygis data
-F_HYGIS_DATA = Path(pkg_resources.resource_filename(__name__, "data"))
-
+FHERE = Path(__file__).resolve().parent
+F_HYGIS_DATA = FHERE / "data"
 
 # AWRAL subgrids
 FZIP_AWRAL_SUBGRIDS = F_HYGIS_DATA/"AWRAL_SUBGRIDS.zip"

hydrodiy/gis/oz.py

@@ -2,7 +2,6 @@
 
 import re, os, json, tarfile
 from pathlib import Path
-import pkg_resources
 
 import numpy as np
 import pandas as pd
@@ -23,7 +22,8 @@
     pass
 
 # Decompress australia shoreline shapefile
-FDATA = Path(pkg_resources.resource_filename(__name__, "data"))
+FHERE = Path(__file__).resolve().parent
+FDATA = FHERE / "data"
 SHAPEFILES = {
     "ozcoast10m": FDATA / "ne_10m_admin_0_countries_australia.shp", \
     "ozcoast50m": FDATA / "ne_50m_admin_0_countries_australia.shp", \