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ADSWPY Week 3
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| !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 | |
| df_power=pd.read_csv('https://proxy.mentoracademy.org/getContentFromUrl/?userid=brooks&url=https%3A%2F%2Fgist.github.com%2Fcab938%2Ffb463f56781fae4dd1fc171def0f1e94%2Fraw%2Fa6a7e255dadb09a29cf05de692fc16b4c09e941c%2Findia_power.csv') | |
| df_states=pd.read_csv('https://proxy.mentoracademy.org/getContentFromUrl/?userid=brooks&url=https%3A%2F%2Fgist.github.com%2Fcab938%2Ff8862f40901442ae61b458327d13ef9f%2Fraw%2F13dff6567589592828ee15778d0d5897cf09f335%2Findia_states.csv') | |
| joined_df= #join frames and only consider places we have data for both the state pop and renewables | |
| def pct_renw_by_pop(row): | |
| #calculate the ratio of population to that of sum(hydro,other renewables) | |
| #return float(x['renewables in GWh'])/float(x['population']) | |
| retval=0 | |
| try: | |
| retval=((row["hydro"]+row["other_renew"])/row['Population']) | |
| except ZeroDivisionError: | |
| pass | |
| return retval | |
| joined_df['renw_by_pop']= #apply the function above to create a new column | |
| joined_df['renw_by_pop_rank']= #determine the ranks for each state in a new column | |
| joined_df #print out the top five items |
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