0
0
Data Analysis Pythondata~5 mins

Checking data types in Data Analysis Python - Cheat Sheet & Quick Revision

Choose your learning style9 modes available
Recall & Review
beginner
What function in pandas is used to check the data type of each column in a DataFrame?
The DataFrame.dtypes attribute shows the data type of each column in a pandas DataFrame.
Click to reveal answer
beginner
How can you check the data type of a single variable in Python?
Use the built-in type() function to find the data type of any Python variable.
Click to reveal answer
beginner
What does the data type object usually mean in a pandas DataFrame?
In pandas, object usually means the column contains text (strings) or mixed types.
Click to reveal answer
beginner
Why is it important to check data types before analysis?
Checking data types helps ensure correct calculations and prevents errors, like trying to add text to numbers.
Click to reveal answer
intermediate
How can you convert a column to a different data type in pandas?
Use DataFrame['column'].astype(new_type) to change a column's data type, for example to int or float.
Click to reveal answer
Which pandas attribute shows the data types of all columns in a DataFrame?
Ainfo
Bdtype
Cdtypes
Dtype
What Python function tells you the type of a variable?
Atypeof()
Btype()
Cchecktype()
Dgettype()
If a pandas column shows data type object, what does it usually contain?
AText or mixed types
BNumbers only
CDates only
DBoolean values
Why should you check data types before doing calculations?
ATo make data look colorful
BTo speed up the computer
CTo delete unwanted data
DTo avoid errors and wrong results
How do you change a pandas column to integer type?
Aastype('int')
Bconvert('int')
Cchange_type('int')
Dto_int()
Explain how to check the data types of columns in a pandas DataFrame and why it matters.
Think about how pandas stores text and numbers differently.
You got /3 concepts.
    Describe how to find the data type of a single variable in Python and how to change a pandas column's data type.
    One is a Python function, the other is a pandas method.
    You got /3 concepts.