Chen-Buynak-Guinness Tutorial 5 Submission#1
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| data1=data.iloc[:,0:2] | ||
| stdout=data1.drop_duplicates().sort_values(['gender','yearsExperience']) | ||
| stdout=pd.DataFrame(stdout) | ||
| stdout.to_csv('stdout.csv',sep=',',index=False) |
lyy005
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Oct 5, 2017
| #The gender, yearsExperience, wage for the highest earners | ||
| data.sort_values('wage').tail(n=1).loc[:,['gender','yearsExperience','wage']] | ||
| #females in the top ten earners | ||
| sum(data.sort_values('wage').tail(n=10).iloc[:,0]=='female') |
lyy005
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Oct 5, 2017
| plt.scatter(x,y) | ||
| plt.title('Effect of graduating college on the min wage') | ||
| plt.xlabel('yearsSchool') | ||
| plt.ylabel('Minimum wage') |
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exercise5.png, Figure1.png, & stdout.csv have solutions!