Question: IN PYTHON. WILL UPVOTE IF CORRECT. ASAP hope the image is better. [15]: pereate a DataFrane fron the two series objects olt_temp and nye_tenp F

IN PYTHON. WILL UPVOTE IF CORRECT. ASAP
IN PYTHON. WILL UPVOTE IF CORRECT. ASAP hope the image is better.
hope the image is better.
[15]: pereate a DataFrane fron the two series objects olt_temp and nye_tenp

[15]: pereate a DataFrane fron the two series objects olt_temp and nye_tenp F and give them colunn names temps_df = pd.DataFrame( ('Charlotte'i clt_temp, 'NYC't nyo_temp)) 'cemps_df In [16]: *get the column with the name charlote In [17]: 11kewise we can get just the NYC column In [18] : return both coluans in a different order In [19]t retrieve the charlote colurn through phopkhry sYNTAX In [20] : calculate the terperature difference between the two eities uning the dataframe In [21]t fadd a colunn to temp_df which containg the difference in tempa you ean eall the column pifference In (22): get the columns of the dataframe, which fs also an Index object In [23]1 slice the temp differences column for the rows at location 1 through 4 (as though it is an array) In t2411 get the row at array position 1 In (25): the names of the colueng have becone the index they have been "pivoted" In [26]: retrifeve a random rov of your choice by index label using , loe In [27]t get the valuen in the parrerences colunn in tovn 1,3 and 5 uning 0-baeed location In [2811. which.values in the Missoula column ace >827 In (29): feturn the rows where the teops for Missovia >82 The pandas DataFrame In [15]t poreate a DataFrane from the two deries objects elt_terp and nyo.temp f and give then column names 7 tonped = pd. DataFramel f r'charlotte'f elt tesp, t teinps_df 'NYC': ayc_tenpl) In [16]1 g get the column with the nane Charlotte In 11711 filkowine wh ean get junt the Nrc colunn In (18)1 freturn both coluens in a different order In 11911 . retrieve the charlotte coluen through PRopgerT sxNTUX In 1201: - calcazate the teopenature differnnce between the two efcles using the datafrano In 21]t add a colunn to temp_df which containa the difference in tenpi you dan call the coluan Difference In (22)1 - get the colunn of the datafrase, Which in alad an Index object In (23)1. Alce the tenp differences sotunn for the rowi at loeation 1 throwgh 4 (as though it io an array) In (24)f get the rou at array poeftion t In 2511 , the nases of the colungs have becoee the Index they have theen "pivoted' In {26)1 - retrieve a randon rev of pour ehoice by fader lahel using . ioe In 12711 f get the values in tbe olfferenceo colums in tow 2,1 and 5 uning a-bayed Iocation In [28]1 whieh vatues in the Miseopda foluan are a 8 ? In [29]+ return the row where the cenpe for riesould >32

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