[Marc Folch] lab-pandas

[marcfolchp]

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[sh-ih]

You’ll dream of pandas at the end of this bootcamp! Congrats on a very good lab

Some comments:

On question 12 you got the most and least expensive products, but you didn’t print the difference.

On the exercises with the admissions dataframe, question 2 asked to “Keep the column in the dataframe in addition to making it an index”, you did the set_index, but since you didn’t use drop=False as a parameter, you didn’t keep Serial No. in the dataframe.

Answers to 3 and 4 are ok, but if you want to run both conditions in one line, you can use:

rslt_3 = admissions[(admissions['CGPA'] > 9) & (admissions['Research'] > 0)]
rslt_4 =  admissions[(admissions["CGPA"]> 9) & (admissions["SOP"] < 3.5)]