Use raw strings for sep (#231)

USGS-CMG · May 29, 2024 · a2cdea1 · a2cdea1
1 parent 6cb7771
commit a2cdea1
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Showing 4 changed files with 13 additions and 13 deletions.
diff --git a/stglib/aqd/hdr2cdf.py b/stglib/aqd/hdr2cdf.py
@@ -73,7 +73,7 @@ def load_sen(basefile):
     SEN = pd.read_csv(
         senfile,
         header=None,
-        sep="\s+",
+        sep=r"\s+",
         usecols=[0, 1, 2, 3, 4, 5, 8, 10, 11, 12, 13, 14, 15, 16],
     )
 
@@ -119,7 +119,7 @@ def load_amp_vel(RAW, basefile):
 
     for n in [1, 2, 3]:
         afile = basefile + ".a" + str(n)
-        a = pd.read_csv(afile, header=None, sep="\s+")
+        a = pd.read_csv(afile, header=None, sep=r"\s+")
 
         if "bindist" in RAW:
             coords = [RAW["time"], RAW["bindist"]]
@@ -129,7 +129,7 @@ def load_amp_vel(RAW, basefile):
         RAW["AMP" + str(n)] = xr.DataArray(a, dims=("time", "bindist"), coords=coords)
 
         vfile = basefile + ".v" + str(n)
-        v = pd.read_csv(vfile, header=None, sep="\s+")
+        v = pd.read_csv(vfile, header=None, sep=r"\s+")
 
         if RAW.attrs["AQDCoordinateSystem"] == "BEAM":
             thevars = {1: "VEL1", 2: "VEL2", 3: "VEL3"}

diff --git a/stglib/aqd/hrhdr2cdf.py b/stglib/aqd/hrhdr2cdf.py
@@ -73,7 +73,7 @@ def load_sen(ds):
     SEN = pd.read_csv(
         senfile,
         header=None,
-        sep="\s+",
+        sep=r"\s+",
         usecols=[0, 1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17, 18],
     )
 
@@ -142,7 +142,7 @@ def load_amp_vel_cor(RAW, basefile):
 
     for n in [1, 2, 3]:
         afile = basefile + ".a" + str(n)
-        a = pd.read_csv(afile, header=None, sep="\s+")
+        a = pd.read_csv(afile, header=None, sep=r"\s+")
 
         spb = int(RAW.attrs["AQDHRSamplesPerBurst"])
 
@@ -160,7 +160,7 @@ def load_amp_vel_cor(RAW, basefile):
         )
 
         vfile = basefile + ".v" + str(n)
-        v = pd.read_csv(vfile, header=None, sep="\s+")
+        v = pd.read_csv(vfile, header=None, sep=r"\s+")
 
         if RAW.attrs["AQDHRCoordinateSystem"] == "BEAM":
             thevars = {1: "VEL1", 2: "VEL2", 3: "VEL3"}
@@ -177,7 +177,7 @@ def load_amp_vel_cor(RAW, basefile):
 
         try:
             cfile = basefile + ".c" + str(n)
-            c = pd.read_csv(cfile, header=None, sep="\s+")
+            c = pd.read_csv(cfile, header=None, sep=r"\s+")
 
             spb = int(RAW.attrs["AQDHRSamplesPerBurst"])
 

diff --git a/stglib/aqd/wvswad2cdf.py b/stglib/aqd/wvswad2cdf.py
@@ -89,7 +89,7 @@ def load_whd(metadata):
     WHD = pd.read_csv(
         whdfile,
         header=None,
-        sep="\s+",
+        sep=r"\s+",
         usecols=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20],
     )
 
@@ -150,7 +150,7 @@ def load_wad(ds):
     wadfile = ds.attrs["basefile"] + ".wad"
     print("Loading wave data from " + wadfile + "; this may take some time")
     # pd.read_csv is ~10x faster than np.loadtxt or np.genfromtxt
-    WAD = pd.read_csv(wadfile, header=None, sep="\s+").values
+    WAD = pd.read_csv(wadfile, header=None, sep=r"\s+").values
 
     r, c = np.shape(WAD)
     print(wadfile + " has " + str(r) + " rows and " + str(c) + " columns")

diff --git a/stglib/argonaut.py b/stglib/argonaut.py
@@ -15,7 +15,7 @@
 def read_dat_raw(filnam):
     df = pd.read_csv(
         filnam,
-        sep="\s+",
+        sep=r"\s+",
         parse_dates={"time": ["Year", "Month", "Day", "Hour", "Minute", "Second"]},
         date_format="%Y %m %d %H %M %S",
     )
@@ -44,7 +44,7 @@ def rename_columns(df):
 def read_vel_snr_std(filbase):
     df = pd.read_csv(
         filbase + ".vel",
-        sep="\s+",
+        sep=r"\s+",
         header=[0, 1],
         parse_dates=[[1, 2, 3, 4, 5, 6]],
         date_format="%Y %m %d %H %M %S",
@@ -92,7 +92,7 @@ def read_vel_snr_std(filbase):
 
     snr = pd.read_csv(
         filbase + ".snr",
-        sep="\s+",
+        sep=r"\s+",
         header=[0, 1],
         parse_dates=[[1, 2, 3, 4, 5, 6]],
         date_format="%Y %m %d %H %M %S",
@@ -110,7 +110,7 @@ def read_vel_snr_std(filbase):
 
     std = pd.read_csv(
         filbase + ".std",
-        sep="\s+",
+        sep=r"\s+",
         header=[0, 1],
         parse_dates=[[1, 2, 3, 4, 5, 6]],
         date_format="%Y %m %d %H %M %S",