Summarize "Introduction to Data Analysis with Python 2nd Edition" using 3 hours of Mokumokukai # 5 "Online Learning Remote Mokumoku" sponsored by Japan Deep Learning Association. (https://jdla.connpass.com/event/171304/)
[Motivation I wanted to summarize] ・ I am doing data analysis at work, but I have never learned it properly, so I want to systematically relearn it once. ・ I'm always indebted to Qiita, so I want to give back ・ I want to keep a log of what I'm doing & share it
[Full English_Official] https://www.programmer-books.com/wp-content/uploads/2019/04/Python-for-Data-Analysis-2nd-Edition.pdf
[Full English_GitHub] https://github.com/chenomg/CS_BOOKS/blob/master/Python%20for%20Data%20Analysis%2C%202nd%20Edition.pdf
【Code】 https://github.com/nkimoto/pydata-book
[Display confirmation]
qiita.py
df1 = DataFrame({'key': ['b', 'b', 'a', 'c', 'a', 'b'],
'data1': range(6)})
df2 = DataFrame({'key': ['a', 'b', 'a', 'b', 'd'],
'data2': range(5)})
df1.head()
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