diff --git a/bifacial_radiance/main.py b/bifacial_radiance/main.py
index b4c167e0..9e47c10b 100644
--- a/bifacial_radiance/main.py
+++ b/bifacial_radiance/main.py
@@ -265,9 +265,9 @@ def _subhourlydatatoGencumskyformat(gencumskydata, label='right'):
 
     #Resample to hourly. Gencumsky wants right-labeled data.
     try:
-        gencumskydata = gencumskydata.resample('60T', closed='right', label='right').mean()  
+        gencumskydata = gencumskydata.resample('60min', closed='right', label='right').mean()  
     except TypeError: # Pandas 2.0 error
-        gencumskydata = gencumskydata.resample('60T', closed='right', label='right').mean(numeric_only=True) 
+        gencumskydata = gencumskydata.resample('60min', closed='right', label='right').mean(numeric_only=True) 
     
     if label == 'left': #switch from left to right labeled by adding an hour
         gencumskydata.index = gencumskydata.index + pd.to_timedelta('1H')
@@ -294,7 +294,7 @@ def _subhourlydatatoGencumskyformat(gencumskydata, label='right'):
     gencumskydata.loc[padend]=0
     gencumskydata=gencumskydata.sort_index() 
     # Fill empty timestamps with zeros
-    gencumskydata = gencumskydata.resample('60T').asfreq().fillna(0)
+    gencumskydata = gencumskydata.resample('60min').asfreq().fillna(0)
     # Mask leap year
     leapmask =  ~(_is_leap_and_29Feb(gencumskydata))
     gencumskydata = gencumskydata[leapmask]
@@ -1174,16 +1174,27 @@ def _convertTMYdate(data, meta):
         
         
         import pvlib
-
         #(tmydata, metadata) = pvlib.tmy.readtmy3(filename=tmyfile) #pvlib<=0.6
-        (tmydata, metadata) = pvlib.iotools.tmy.read_tmy3(filename=tmyfile,
-                                                          coerce_year=coerce_year) 
+        try:
+            (tmydata, metadata) = pvlib.iotools.tmy.read_tmy3(filename=tmyfile,
+                                                          coerce_year=coerce_year,
+                                                          map_variables=True)
+        except TypeError:  # pvlib < 0.10
+            (tmydata, metadata) = pvlib.iotools.tmy.read_tmy3(filename=tmyfile,
+                                                          coerce_year=coerce_year)
         
         try:
             tmydata = _convertTMYdate(tmydata, metadata) 
         except KeyError:
             print('PVLib >= 0.8.0 is required for sub-hourly data input')
-
+        
+        tmydata.rename(columns={'dni':'DNI',
+                                'dhi':'DHI',
+                                'temp_air':'DryBulb',
+                                'wind_speed':'Wspd',
+                                'ghi':'GHI',
+                                'albedo':'Alb'
+                                }, inplace=True)  #as of v0.11, PVLib changed tmy3 column names..
 
         return tmydata, metadata
 
@@ -1221,7 +1232,7 @@ def _readEPW(self, epwfile=None, label = 'right', coerce_year=None):
         #(tmydata, metadata) = readepw(epwfile) #
         (tmydata, metadata) = pvlib.iotools.epw.read_epw(epwfile, 
                                                          coerce_year=coerce_year) #pvlib>0.6.1
-        #pvlib uses -1hr offset that needs to be un-done. Why did they do this?
+        #pvlib uses -1hr offset that needs to be un-done. 
         tmydata.index = tmydata.index+pd.Timedelta(hours=1) 
 
         # rename different field parameters to match output from 
diff --git a/requirements.txt b/requirements.txt
index 2556d7b5..fa3d21bb 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -3,7 +3,7 @@ coverage==7.2.1
 cycler==0.11.0
 idna==3.4
 importlib-metadata==6.0.0
-ipython==8.10.0
+ipython==8.13.0
 kiwisolver==1.4.4
 matplotlib==3.5.1
 more-itertools==9.1.0