import pandas as pd

# Downsample df_clean by day and aggregate by mean: daily_mean_2011
daily_mean_2011 = df_clean.resample('D').mean()

# Extract the dry_bulb_faren column from daily_mean_2011 using .values: daily_temp_2011
daily_temp_2011 = daily_mean_2011['dry_bulb_faren'].values

# Downsample df_climate by day and aggregate by mean: daily_climate
daily_climate = df_climate.resample('D').mean()

# Extract the Temperature column from daily_climate using .reset_index(): daily_temp_climate
daily_temp_climate = daily_climate.reset_index()['Temperature']

# Compute the difference between the two arrays and print the mean difference
difference = daily_temp_2011 - daily_temp_climate
print(difference.mean())
