Python Strings: Medical Insurance Project: Problem with output in Jupyter Notebooks

Language Help Python
1

Hello everyone,

I am currently doing the Python Strings: Medical Insurance Project in the Python Fundamentals for Data Science (Part II) module.

I have decided to use Jupyter Notebooks for this project and I ran into a problem with my output in Jupyter in step 13.

This is the following code I used in Jupyter:

Input:

for record in medical_records:
    record_clean = []
    for item in record:
        record_clean.append(item.strip())
    medical_records_clean.append(record_clean)
print(medical_records_clean)

Jupyter Output:
[‘$7010.0’, ‘$4050.0’, ‘$12060.0’, ‘$7500.0’, ‘$3022.0’, ‘$4620.0’, ‘$16330.0’, ‘$2900.0’, ‘$19370.0’, ‘$7045.0’, ‘$7010.0’, ‘$4050.0’, ‘$12060.0’, ‘$7500.0’, ‘$3022.0’, ‘$4620.0’, ‘$16330.0’, ‘$2900.0’, ‘$19370.0’, ‘$7045.0’, ‘$7010.0’, ‘$4050.0’, ‘$12060.0’, ‘$7500.0’, ‘$3022.0’, ‘$4620.0’, ‘$16330.0’, ‘$2900.0’, ‘$19370.0’, ‘$7045.0’, ‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’, ‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’, ‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’, ‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’, ‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’, ‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’, ‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’, ‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’, ‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’, ‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’, ‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’, ‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’, ‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’, ‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’, ‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’, ‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’, ‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’, ‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’, ‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’, ‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’, ‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’, ‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’, ‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’, ‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’, ‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’, ‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’, ‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’, ‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’, ‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’, ‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’, [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’], [‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’]]

Whereas when I tried the same code I used in Jupyter in Codecademy’s console it gave me the following output:

Codecademy Output:
[[‘Marina Allison’, ‘27’, ‘31.1’, ‘$7010.0’], [‘Markus Valdez’, ‘30’, ‘22.4’, ‘$4050.0’], [‘Connie Ballard’, ‘43’, ‘25.3’, ‘$12060.0’], [‘Darnell Weber’, ‘35’, ‘20.6’, ‘$7500.0’], [‘Sylvie Charles’, ‘22’, ‘22.1’, ‘$3022.0’], [‘Vinay Padilla’, ‘24’, ‘26.9’, ‘$4620.0’], [‘Meredith Santiago’, ‘51’, ‘29.3’, ‘$16330.0’], [‘Andre Mccarty’, ‘19’, ‘22.7’, ‘$2900.0’], [‘Lorena Hodson’, ‘65’, ‘33.1’, ‘$19370.0’], [‘Isaac Vu’, ‘34’, ‘24.8’, ‘$7045.0’]]


Codecademy’s output is what I expected to see in Jupyter.
I haven’t changed the code when using it in Codecademy’s console so I’m thinking there’s an issue with the Jupyter Notebook file…

So I’m reaching out to the community to get an answer if there’s anyway to fix my issue in Jupyter and if anyone else has experienced this before?


P.S. I am also experiencing the same issue on step 15.

Link: https://www.codecademy.com/journeys/data-scientist-aly/paths/dsalycj-22-data-science-foundations/tracks/dsalycj-22-python-fundamentals-for-data-science-part-ii/modules/dsf-python-strings-df5478c1-b7d4-4ede-b5df-191256f19859/projects/ds-python-strings-project

2

It might be easier if you push your notebook to GH so people can see all of your code and for people to try to reproduce any errors.

Are you missing a variable that’s an empty list outside that code (before you loop thru the records)?
Ex:

Summary 
medical_records_clean = []

for record in medical_records:
  record_clean = []
  for item in record:
    record_clean.append(item.strip())
  medical_records_clean.append(record_clean)

print(medical_records_clean)

Is this the data you copied into the .ipynb?

medical_data = \
"""Marina Allison   ,27   ,   31.1 , 
#7010.0   ;Markus Valdez   ,   30, 
22.4,   #4050.0 ;Connie Ballard ,43 
,   25.3 , #12060.0 ;Darnell Weber   
,   35   , 20.6   , #7500.0;
Sylvie Charles   ,22, 22.1 
,#3022.0   ;   Vinay Padilla,24,   
26.9 ,#4620.0 ;Meredith Santiago, 51   , 
29.3 ,#16330.0;   Andre Mccarty, 
19,22.7 , #2900.0 ; 
Lorena Hodson ,65, 33.1 , #19370.0; 
Isaac Vu ,34, 24.8,   #7045.0"""
3

Hey lisalisaj,

Yes, the data is as it was when I downlowded the .ipynb file from Codecademy. I haven’t made any changes to the given data. I just followed the steps in the project.

I went through all the steps and ran the code again and now it works. I don’t really know why it produced the weird output previously.

4

Sometimes you have to rerun the (previous) code cells in Jupyter b/c they time out. Or, you have to restart the kernal.

Glad it works now! :partying_face: