Increase the speed of a python loop over a pandas dataframe

[mcva]

Hi
I´m using the following code to fill a dataframe with values that are stored in a .nc file

This code is quite slow. The speed can be improved with list comprehensions? If the answer is yes, can you give me an example?
Thank you very much

data_range = pd.date_range(start = '2000-01-01', end = '2011-01-01', freq='H')

df1 = pd.DataFrame(0, columns = ['t2m'], index = data_range)
df = df1.iloc[:-1 , :]

dt = np.arange(0, data.variables['time'].size)

temperature = data.variables['t2m']

for time_index in dt:
    df.iloc[time_index] = temperature[time_index, min_index_lat,min_index_lon]-273.15
    print (time_index)