Pandas is an open source python library widely used for data science/ data analysis and machine learning tasks. Pandas stands for panel data, referring to tabular format. Installing pandas: This is because pandas is built on top of numpy which provides support for multi-dimensional arrays so it is always good to install with numpy. Pandas …
Magic or dunder methods are special methods in Python OOPs that enrich your classes. It is also known as dunder methods. These methods are distinguished from other methods in a special way by using double underscore before and after the method name. This method allows instances of a class to interact with the built-in functions …
Python f-strings or formatted strings are new way of formatting strings introduced in Python 3.6 under PEP-498. It’s also called literal string interpolation. They provide a better way to format strings and make debugging easier too. What are f-strings? Strings in Python are usually enclosed in “ ” (double quotes) or ‘ ‘ ( single …
numpy.tril() returns a copy of the array matrix with an element of the lower part of the triangle with respect to k. It returns a copy of array with lower part of triangle and above the kth diagonal zeroed. Syntax: numpy.tril(m,k=0) Parameters: m- number of rows in the array. k-It is optional. Diagonal below which …
numpy.triu() returns a copy of the array matrix with an element of the upper part of the triangle with respect to k. It returns a copy of array with upper part of triangle and below the kth diagonal zeroed. Syntax: numpy.triu(m,k=0) Parameters: m- number of rows in the array. k-It is optional. Diagonal above which …
numpy.ravel() is a function present in numpy module which allows us to change a 2 dimensional or multi dimensional array into a contiguous flattened array i.e 1 dimensional array with all input elements and of same type as it. A copy is made only when needed. If input array is masked then returned array is …
Numpy flatten() converts a multi dimensional array into ‘flattened’ one dimensional array. It returns a copy of the array in one dimension. Now let us see about numpy.ndarray.flatten(). numpy.ndarray.flatten() Syntax: ndarray.flatten(order = ‘C’) Parameters: Returns: A copy of input array, flattened to 1D array. Example: Flatten an array by row: Flatten an array by column: …
What is numpy.log()? numpy.log() is a mathematical function that helps user to calculate Natural logarithm of x where x belongs to imput array elements. The natural logarithm log is an inverse of exponential function log(exp(x)) = x. It is a logarithm of base ‘e’. It calculates the mathematical log of any number or array. Syntax: …
Python Variable: A variable is a container for storing data. It allows you to label and store data. Variables can store strings, numbers, lists or any other data type. Example: name = ‘Thomas’ name is the variable which stores the string data type. When we write two values to the same variable, it overwrites …
Why *args and **kwargs? A function is useful in generating a reusable code. We call a function using specific arguments called function argument in Python. Now let us try to understand its need. For example in a simple program of multiply two numbers what will happen if we have passed three arguments instead of two. …