Computer Science, asked by Aliza117, 1 month ago

\huge\star{\underline{\mathtt{\red{H}\pink{E}\blue{Y}\green{Y}}}}\star

How is Pandas Series different from Numpy Array?
☆☆☆☆☆​

Answers

Answered by Anonymous
5

Answer:

The essential difference is the presence of the index: while the Numpy Array has an implicitly defined integer index used to access the values, the Pandas Series has an explicitly defined index associated with the values.

Explanation:

Unlike NumPy library which provides objects for multi-dimensional arrays, Pandas provides in-memory 2d table object called Dataframe. It is like a spreadsheet with column names and row labels. Some commonly used data structures in pandas are: Series objects: 1D array, similar to a column in a spreadsheet.

pls mark me as brainleast and folow me please

Answered by naman98766
20

Answer:

\huge\star{\underline{\mathtt{\red{H}\pink{E}\blue{Y}\green{Y}}}}\star

The essential difference is the presence of the index: while the Numpy Array has an implicitly defined integer index used to access the values, the Pandas Series has an explicitly defined index associated with the values

Similar questions