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  In the  Introduction to Pandas  post, we learned about Pandas. In today's post we will learn Data Structures in Python Pandas. So, without consuming much time, let's jump to the introduction:- Data Structures in Pandas Python Pandas deals with 2 Data structures:- Series DataFrame Before the latest updates, Python had   3. Panel()   data structure which is used for the 3-D array. But Pandas has removed its   Panel()  and now it only has Series and DataFrame left. These data structures are built with NumPy which means they are fast. Dimension and Description of Data Structure The best way to think of these data structures is that the higher dimensional data structures is a container of its lower-dimensional data structure which means DataFrame is a container for   Series . Building and handling two or more dimensional array is tedious task, burden is placed on the user to consider the orientation of the Data Sets when writing functions. Mutability of the Data Structures 1. Valu

  hey friend welcome to our channel. We will learn Data Science with Python in Hindi.  In which we will learn the following courses:- Numy Pandas MatPlotlib Kaggle SciPy Python Data Operations Python Data Cleansing Python Processing CSV Data Python processing JSON Data Python Processing XLS Data Python Relational Databases Python NoSQL Databases Python Data wrangling Python Data Aggregation Python Reading HTML Pages Python Processing Unstructured Data Python chart Properties Python chart styling Python Box Plots Python heat maps Python Box Plots Python Scatter Plots Python Bubble Charts Python 3D charts Python Geographical Data Python Graph Data and many more and all are in hindi. This is channel for Indians by Indians. Kindly Subscribe to our Youtube channel -  Codin India

   Hey Friends! In today's post, we will learn how to compare two arrays in Numpy. For comparison in Numpy, we have two methods. == comparison operator or NumPy comparison operator Let us understand both methods one by one. 1. Using == operator We can do element to element-wise comparison using == operator.  Syntax:-   array1 == array2 Let us undestand it by Code:- Explanation:- In the above code, we created two arrays and then compare both of them with == operator. imported NumPy as np arr1 and arr2 are arrays print the result of the comparison OutPut Explanation :- It will compare both arrays element-wise i.e one element from one array to one element of another element and print the output. In the above example, it compared both arrays and gives output element-wise. 2. Using comparison operator We can compare array using a comparison operator also. It will also compare arrays element-wise and provide output as True or False.  We have standard Python comparison operators to compar

Hello friends!   Codin India   here and in today's post we are going to learn Python's inbuilt functions that is Min Max Nested List So, Let us understand it one by one:-  min():- Python has an inbuilt function min() which finds the minimum value of the given list, tuples or something. It first calculates the biggest number one by one and provides the minimum value of the list. Syntax :- min(array_name) Code :- list1 = [1,2,3,4,5,6] print(min(list1)) Output:- 1 Explanation:-  First we created list that has name list1 and then we created called Python's inbuilt function min() and print it. Let us understand it by code:- max():- Python has an inbuilt function min() which finds the minimum value of the given list, tuples or something. It first calculates the biggest number one by one and provides the minimum value of the list. Syntax:-   max(array_name) Code :- list1 = [1,2,3,4,5,6] print(max(list1)) Output:- 6 Explanation:-  First we created list that has name list1 and then