.resample('m') -> .resample('ME')

Broken on pandas v3.0.0
v2.1 docs https://pandas.pydata.org/pandas-docs/version/2.1/user_guide/timeseries.html#dateoffset-objects
v3.0 docs https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#dateoffset-objects

Related to pvlib#2600

Author: echedey-ls

docs/examples/irradiance-transposition/plot_transposition_gain.py

@@ -80,7 +80,7 @@ def calculate_poa(tmy, solar_position, surface_tilt, surface_azimuth):
     column_name = f"FT-{tilt}"
     # TMYs are hourly, so we can just sum up irradiance [W/m^2] to get
     # insolation [Wh/m^2]:
-    df_monthly[column_name] = poa_irradiance.resample('m').sum()
+    df_monthly[column_name] = poa_irradiance.resample('ME').sum()
 
 # single-axis tracking:
 orientation = tracking.singleaxis(solar_position['apparent_zenith'],
@@ -95,10 +95,10 @@ def calculate_poa(tmy, solar_position, surface_tilt, surface_azimuth):
                                solar_position,
                                orientation['surface_tilt'],
                                orientation['surface_azimuth'])
-df_monthly['SAT-0.4'] = poa_irradiance.resample('m').sum()
+df_monthly['SAT-0.4'] = poa_irradiance.resample('ME').sum()
 
 # calculate the percent difference from GHI
-ghi_monthly = tmy['ghi'].resample('m').sum()
+ghi_monthly = tmy['ghi'].resample('ME').sum()
 df_monthly = 100 * (df_monthly.divide(ghi_monthly, axis=0) - 1)
 
 df_monthly.plot()