weather_w4iadswpyp.py

!pip install html5lib #install html5lib, only needs to be run once
#You might need to restart kernel after running with the menu Kernel>Restart
import pandas as pd
import numpy as np
from scipy import stats
df=pd.read_html('https://proxy.mentoracademy.org/getContentFromUrl/?userid=user&url=https://www.ncdc.noaa.gov/cag/global/time-series/asia/land/ytd/12/1910-2016', header=0)[0]
pop1 = #put the cleaned list of all temperature anomalies for pre 1950
pop2 = #put the cleaned list of all temperature anomalies for 1950 and above

print("Mean anomaly values before 1950 {}, and mean after 1950 {}".format(np.mean(pop1),np.mean(pop2)))
if #put test of statistics with alpha <=0.01
    print("Test was statistically significant at p<0.01 value.")
else:
    print("Test was not statistically significant at p<0.01 value.")