FAQ: Exploring Data with Python - Data Types

This community-built FAQ covers the “Data Types” exercise from the lesson “Exploring Data with Python”.

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This exercise can be found in the following Codecademy content:

[Beta] Getting Started with Python for Data Science

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Trying to enter “laptops.dtypes” to complete the assignment and it keeps failing. I even copied and pasted from the hints.

What am I doing wrong?


Hey, i fixed the same problem just by copying all the problem from above and paste the laptops.dtype, it should look like this:
import pandas as pd
repair = pd.read_csv(‘repair.csv’)
laptops = pd.read_csv(‘laptops.csv’)

Type your code below this:


Run it.
Save it.
Click Test Work.

1 Like

Why does that highlighted line come up at the end everytime when dataset_name.dtypes is commanded?

1 Like

I think it’s b/c columns w/mixed data types are stored as object datatype.



If you use df.info() you’ll see a more in-depth summary about the dataframe as well as the dtypes for each column:


>><class 'pandas.core.frame.DataFrame'>
RangeIndex: 3511 entries, 0 to 3510
Data columns (total 5 columns):
 #   Column         Non-Null Count  Dtype  
---  ------         --------------  -----  
 0   problem        3511 non-null   object 
 1   brand          3511 non-null   object 
 2   repair_status  3511 non-null   object 
 3   event_year     3511 non-null   int64  
 4   age            815 non-null    float64
dtypes: float64(1), int64(1), object(3)
memory usage: 137.3+ KB
1 Like

Hi lisalisaj, thanks a lot for your response.
While I do not fully understand all the details mentioned in the links, I am glad I learnt more about the ‘dataframe_name.info’ attribute.