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Creating DataFrames ... 1. Create a DataFrame object named DF_RAL_CLT with two columns using the two Series objects created for you (below): RAL_TEMPS and CLT_TEMPS.

Creating DataFrames ...

1. Create a DataFrame object named DF_RAL_CLT with two columns using the two Series objects created for you (below): RAL_TEMPS and CLT_TEMPS.

Give them column names of 'Raleigh' and 'Charlotte'.

2.Set variable RAL to the column of DF_RAL_CLT with the name 'Raleigh'

3.Set variable CLT to the column of DF_RAL_CLT with the name 'Charlotte' YOU MUST USE 'dot' syntax to reference the column name!!!

4.Create DF_CLT_RAL containing both columns in DF_RAL_CLT in the reverse order [Charlotte column 1st and Raleigh column 2nd]

################################################################################ # THIS CODE IS PROVIDED FOR YOU -- JUST RUN IT TO CREATE 2 SERIES OBJECTS!!! ################################################################################ RALEIGH_AUG_2022 = [92, 94, 94, 95, 94, 93, 93, 95] CHARLOTTE_AUG_2022=[85, 92, 94, 93, 91, 91, 92, 93] INDEX_DATES = pd.date_range ('2022-08-01', '2022-08-08') RAL_TEMPS = pd.Series(RALEIGH_AUG_2022,index=INDEX_DATES) CLT_TEMPS = pd.Series(CHARLOTTE_AUG_2022,index=INDEX_DATES) #print("RAL_TEMPS: ", RAL_TEMPS) #print("CLT_TEMPS: ", CLT_TEMPS)

# DO NOT MODIFY !!! print(" DATAFRAME DF_RAL_CLT ", DF_RAL_CLT) print(" RALEIGH ", RAL, sep='') print(" CHARLOTTE ", CLT, sep='') print(" DATAFRAME DF_CLT_RAL ", DF_CLT_RAL)

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