Posted On: Mar 31, 2020
Vectorization is the process of running operations on the entire array. This is done to reduce the amount of iteration performed by the functions. Pandas have a number of vectorized functions like aggregations, and string functions that are optimized to operate specifically on series and DataFrames. So it is preferred to use the vectorized pandas functions to execute the operations quickly.
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Different types of data structures available in Pandas are, Series - It is immutable in size and homogeneous one-dimensional array data structure. DataFrame - It is a tabular data structure which c...