Assumption University
0-19685Pandas ???????????????????? ?????????? ???????????? DataFrames ??????????????00Pandas ???????????????????? ?????????? ???????????? DataFrames ??????????????Pandas ??????????? Python Libraries ????????????????????????????????????????????????? (Data Science ???????????????????? Data Science ??????????) ????????????????? Pandas ?????????????????? Library ??? (????????????????????????? Pygame)?????????????????? Pandas ????????????????????????????? (????????????? Pygame)?????????????? Pandas ???????????????????????????????????? (????????) ????????? ??????????????????????????????????????????????? Data Structure ?? Pandas ?????? ???????????? Series ??? DataFramesSeries:??? Pandas ???????????? Series ??????????????????????????????? (one dimensional data structure ???? array ?????????????????????????????? index ???? INCLUDEPICTURE "" \* MERGEFORMATINET DataFrame:??? pandas ???????????? DataFrame ????????????????????????????? (??????????????????) ??????????????????????????????????? rows ??? columns ?????? columns ???????? ??? rows have ??????? ???? INCLUDEPICTURE "" \* MERGEFORMATINET ???????? DataFrames ??????????????????????????????????????????????????????? ??????????????????????????????????????????????????????????????????????????????? Pandas ???????? ????????????????????????????? ?????? Jupyter Notebook ?????????????????? .CSV (Comma Separated Value ????????????????????????????????? comma) ????????????animal,uniq_id,water_needelephant,1001,500elephant,1002,600elephant,1003,550tiger,1004,300tiger,1005,320tiger,1006,330tiger,1007,290tiger,1008,310zebra,1009,200zebra,1010,220zebra,1011,240zebra,1012,230zebra,1013,220zebra,1014,100zebra,1015,80lion,1016,420lion,1017,600lion,1018,500lion,1019,390kangaroo,1020,410kangaroo,1021,430kangaroo,1022,410????????????????? New ??? Home Tab ????????? Text File INCLUDEPICTURE "" \* MERGEFORMATINET ???????? Copy ???????????????????????????????? INCLUDEPICTURE "" \* MERGEFORMATINET ??????????????? zoo.csv INCLUDEPICTURE "" \* MERGEFORMATINET ?????????????????? zoo.csv ??????????????????????????? ipynb ?????????????????? notebook ???????? ?????????????????????? .ipynb ????????????????? (??????????? ?????? ???????????? ????) ????1_45655_Napas_SamsenDA_worksheet1.ipynb????????????????? import pandas ??? numpy INCLUDEPICTURE "" \* MERGEFORMATINET ????????????????????????? csv ??? read_csv( )????????????????????????????? zoo.csv ????????????????????pd.read_csv('zpp.csv', delimiter = ',') ????? run ?????????????????????? zoo.csv ????????? Jupyter Notebook????????????????????????????????? index ?? Pandas DataFrames ?????????????? Column (Column names) ?????????????????????? zoo.csv ??????????????? exercise ???????????????????????????????????????????????????????????????????????????????? .csv ???????????????? portal ?????????????? pandas_tutorial_read.csv ?????????????????????????????????????? .ipynb ????????????????????????????????????????? pandas_tutorial_read.csv ???????????????????? exercise 2 ???????????????????????????????? INCLUDEPICTURE "" \* MERGEFORMATINET ??????????????????????????????????? Column names ?????????????????????? Column names ??? ???????????????? Column names ????????????? ?????????????????????????????????????????? ??????????????????? function ?? Pandas ????????????????????????????????? Column names ?????????????? ????????????pd.read_csv('pandas_tutorial_read.csv', delimiter=';', names = ['my_datetime', 'event', 'country', 'user_id', 'source', 'topic'])????????????????????????????????????????????????? pd.read_csv( ) ??????????????????????????????????????????????????????? ????????????????????????????????????????????????????????? ????article_read = pd.read_csv('pandas_tutorial_read.csv', delimiter=';', names = ['my_datetime', 'event', 'country', 'user_id', 'source', 'topic'])??????????????????????????? article_read ??????????????????????????? article_read???????????????????????????? ??? ?????????? article_read ?? cell ??????????????????????????????????????????????????????????????? ????????????????????????????????????????????? ???????????? article_read.head() ????????????????????? (????????????????????????? default = 5) ???????????????????????????????????????????????????????? 5 10 15 ??? 20 ?????????????????????????????? ??? ???????????? article_read.tail() ????????????????????????????????? ???????????? article_read.sample(5)?????????????????????????????????????????????????????????????????????? Column ????????????? ???? ?????????????????? Column country ??? user_id ???????????????????? article_read[['country', 'user_id']]???????????????????? country ??? user_id ??????? ???????????? Column ????????????????????????? (????????????? data prediction) ?????????????????????????????? Series ????????????????????? DataFrames ?????? Series ??????????????? (?????????????????????? ???????????????????????)article_read.user_idarticle_read['user_id']??? filter ????????????????????????????? ???? ??????????????????????????? Column source ?????????????????? 'SEO' ???????????????? article_read[article_read.source == 'SEO']???????????????????? Pandas ??????????????????? ?????? article_read.source == 'SEO' pandas ???????????? DataFrames ?? column source ??????? SEO ??????? ?????????????????? True ???????????? False ????????? article_read ?????????????????????????? source ???? True INCLUDEPICTURE "" \* MERGEFORMATINET ???????????????????? source ???????? Reddit ????????? country ????? Europe?? Pandas ????????????????? Linear ?????????????????????????????????????? ????article_read.head()[['country', 'user_id']]?????????????????????????????????? ??????????????? country ??? user_id ????????????article_read[['country', 'user_id']].head()???????? country ??? user_id ?????????????????????? ????????????????????????????????????????????? ????????????????????????????????????????????????????????????????????????????????????????? user_id, country ??? topic ????????????? country_2 ????????? 5 ??? (Hint: ???????????? filter ?????????????? country_2 ????????????? user_id, country, topic ???????? .head() )????????????????????? user_id source topic ????? source ??? Reddit ??? topic ???? Asia ????? 10 ??? ................
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