Informatics Practices
In Python Pandas, while performing mathematical operations on series, index matching is implemented and all missing values are filled in with …………… by default.
- Null
- Blank
- NaN
- Zero
Python Pandas
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Answer
NaN
Reason — When performing mathematical operations on pandas Series objects, index matching is implemented (this is called data alignment in Pandas objects), and missing values are filled with NaN (Not a Number) by default.
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Related Questions
To display last five rows of a series object 'S', you may write :
- S.Head()
- S.Tail(5)
- S.Head(5)
- S.tail()
Missing data in Pandas object is represented through :
- Null
- None
- Missing
- NaN
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- print(Sequences.head(4))
- print(Sequences.Head(4))
- print(Sequences.heads(4)
- print(Sequences.Heads(4))
Which of the following statement is wrong in context of DataFrame ?
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- Can Perform Arithmetic operations on rows and columns.
- Homogeneous tabular data structure
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