Geographical plotting is used for world map as well as states under a country. Mainly used by data analysts to check the agriculture exports or to visualize such data. plotly is a Python library which is used to design graphs, especially interactive graphs. It can plot various graphs and charts…

A large number of methods collectively compute descriptive statistics and other related operations on DataFrame. Most of these are aggregations like sum(), mean(), but some of them, like sumsum(), produce an object of the same size. Generally speaking, these methods take an axis argument, just like ndarray.{sum, std, …}, but…

Seaborn is a library for making statistical graphics in Python. It builds on top of matplotlib and integrates closely with pandas data structures. Seaborn helps you explore and understand your data. Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and…

Matplotlib is one of the most popular Python packages used for data visualization. It is a cross-platform library for making 2D plots from data in arrays. Matplotlib is written in Python and makes use of NumPy, the numerical mathematics extension of Python. It provides an object-oriented API that helps in…

Pandas is an open-source library that uses for working with relational or labeled data both easily and intuitively. It provides various data structures and operations for manipulating numerical data and time series. It offers a tool for cleaning and processes your data. It is the most popular Python library that…

Pandas is a Python library used for working with data sets. It has functions for analyzing, cleaning, exploring, and manipulating data. The name “Pandas” has a reference to both “Panel Data”, and “Python Data Analysis” and was created by Wes McKinney in 2008. Why Use Pandas? Pandas allows us to analyze big data…

Numpy provides the following functions to perform the different algebraic calculations on the input data. NumPy package contains numpy.linalg module that provides all the functionality required for linear algebra. Some of the important functions in this module are described in the following table. dot Dot product of the two arrays …

NumPy is a general-purpose array-processing package. It provides a high-performance multidimensional array object, and tools for working with these arrays. — It is the fundamental package for scientific computing with Python. It contains various features including these important ones: A powerful N-dimensional array object Sophisticated (broadcasting) functions Tools for integrating C/C++ and Fortran code

Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. 2.The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but alike other…