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IN PYTHON. WILL UPVOTE. ASAP PLZZZ The pandas Series A Pandas Series is like a column in a table. It is a one-dimensional array holding

IN PYTHON. WILL UPVOTE. ASAP PLZZZ
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The pandas Series A Pandas Series is like a column in a table. It is a one-dimensional array holding data of any type. Pead the documentation and create a series that contains 4 items. After that finish the following given cells. In 1711 create a four iten series In [10]= got value at label 1 In [11]+ Write a snippet of code that will return a serieg vith the row with labels t and 3 In (5)t t create the same nerien but this time using an explieft lndex. In [6]1 - look up items the merles having index at first and index at lant positeion In [711 get only the index of the Series In [8] fereate a series who'a index is a beries of datee ht hesi//pandals,pydata.org/docs/reference/api/pandan.date_range.heml - between the two speeified dates (1nelusine) Datear September 5, 2022 to September 11, 2022 In (91: f ereate a Series with valuea (ropresenting tenperaturen) for each date in the index. You ean give thein hardcoded values for now (80,82,85,90,83,87,80,78) You can call chia aeriea elt_tenp In [10] : what's the temperation for September. 97 In [11] t ereate a second weriee of values using the sage index 8. You can give then bardeoded valuee for nov (70,75,69,63,79,77,74,79) - You can call tain serfer nyotenp. In [12]: the aeries elt_temp and nye tenp are aligned by their fadex values caleulateal the difference by thone matehing labels In 113]t Mrite the code to find the tenperature difference on Septenber 87 In 114]t Mrite code to find an average difference of teeperatare betwen the 2 eitien

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