from my prior request for help recievec valueerror $4$ columns passed, passed data had $1$ columnExtract the contacts.xIsx Data.

In $[22]$:

V

# Read the data into a Pandas DataFrame. Use the 'header$=2\text{'}$ parameter when reading in the data.

contact$\_$info$\_$df $=$ pd$.$read$\_$excel$(\text{'}$Resources$/$contacts$.$xlsx$\text{'},$ header$=2)$

contact$\_$info$\_$df$.$head$()$

Create the Contacts DataFrame

Create a Contacts DataFrame that has the following columns:

A column named "contact$\_$id$"$ that contains the unique number of the contact person.

A column named "first$\_$name" that contains the first name of the contact person.

A column named "last$\_$name" that contains the first name of the contact person.

A column named "email" that contains the email address of the contact person

Then export the DataFrame as a contacts.csv CSV file.

Option $1$: Use Pandas to create the contacts DataFrame.

In $[23]$: $1$ contact$\_$info$\_$df$.$info$()$

In $[24]$: $1$ #Iterate through the DataFrame, converting each row to a dictionary.

$2$ #Then, extract the dictionary values from the keys using a Python list comprehension.

$3$ #Add these values to a new list:

$4$ data $=[]$

$5$ for index, row in contact$\_$info$\_$df$.$iterrows$()$:

$6$ row$\_$dict $=$ row.to$\_$dict $()$

$7$ data.append$([$value for key, value in row$\_$dict.items$()])$

$8$ data

In $[25]$: $1$ new$\_$contact$\_$info$\_$df $=$ pd$.$DataFrame$($data$,$ columns$=$new$\_$df$.$columns$)$

new$\_$contact$\_$info$\_$df