Pandas Dataframe Methods

Pandas DataFrames are the cornerstone of data manipulation, offering an extensive suite of methods for effective data analysis. It deals with methods like merge() to merge datasets, groupby() to group data for analysis and pivot() to pivot tables for better insights.

NumPy trace()

returns the sum of the diagonals of the matrix

NumPy det()

compute the determinant of the given matrix

NumPy matmul()

performs matrix multiplication in NumPy

NumPy matrix()

creates a matrix from a 2-D array-like object

NumPy norm()

computes various matrix norms

NumPy fromstring()

fromstring() creates 1D array from raw binary/text

NumPy histogram()

histogram() computes the histogram of the dataset