Informatics Practices

A Pandas Series object can be thought of as a column or a row, essentially.

Python Pandas

1 Like

Answer

True

Reason — When a Series object is used as a column in a DataFrame, it behaves like a column. However, when a Series is created with an index that matches the index of an existing DataFrame, it can behave like a row.

Answered By

2 Likes

Informatics Practices

A Pandas Series object can be thought of as a column or a row, essentially.

Python Pandas

Answer

Related Questions

Fill in the blanks:

To access individual value, you can use DF._________ using row/column integer position.

Fill in the blanks:

The rename() function requires _________ argument to make changes in the original dataframe.

Both Series and DataFrame are one-dimensional data structure objects.

While series is a one-dimensional data structure object, dataframe is a multi-dimensional data structure object.