def test_wind_height_adjust_2m(uz=2.5, zw=2.0, u2=2.5):
assert float(calcs._wind_height_adjust(uz, zw)) == pytest.approx(u2,
abs=0.001)
save(fig)
print("\nSystem: Composite bokeh graph has been generated.")
#########################
# Generate output file
# Create any final variables, then create panda dataframes to save all the data
# Includes the following sheets:
# Corrected Data : Actual corrected values
# Delta : Magnitude of difference between original data and corrected data
# Filled Data : Tracks which data points have been filled by script generated values instead of being provided
# Data that is provided and subsequently corrected by the script do not count as filled values.
print("\nSystem: Saving corrected data to .xslx file.")
# Create any individually-requested output data
ws_2m = _wind_height_adjust(uz=data_ws, zw=ws_anemometer_height)
# Create corrected-original delta numpy arrays
diff_tavg = np.array(data_tavg - original_df.tavg)
diff_tmax = np.array(data_tmax - original_df.tmax)
diff_tmin = np.array(data_tmin - original_df.tmin)
diff_tdew = np.array(data_tdew - original_df.tdew)
diff_ea = np.array(data_ea - original_df.ea)
diff_rhavg = np.array(data_rhavg - original_df.rhavg)
diff_rhmax = np.array(data_rhmax - original_df.rhmax)
diff_rhmin = np.array(data_rhmin - original_df.rhmin)
diff_rs = np.array(data_rs - original_df.rs)
diff_rs_tr = np.array(opt_rs_tr - orig_rs_tr)
diff_rso = np.array(rso - original_df.rso)
diff_ws = np.array(data_ws - original_df.ws)
diff_precip = np.array(data_precip - original_df.precip)
def test_wind_height_adjust(uz, zw, u2):
assert float(calcs._wind_height_adjust(uz, zw)) == pytest.approx(u2)