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  Series is one-dimensional labeled array in Python Pandas which is capable of holding data of any type i.e. integer, float, characters, etc. The axis labels are collectively called index. How Series can be Created? It can be created using list, numpy arrays, from dictionaries, from scaler objects, etc. Let us explore it one by one. Syntax:- Import pandas as pd Pd.Series(data, index, dtype) Where pd is pandas alias, Series is Function through which we create it Series, data is the data we are creating, index is index of data and dtype is type of the data.       1. Create Series from  Python List:- Pandas Series can be created by Python List. We can create python list and there after call Python’s Pandas Series function to convert List into Series. Let us understand it by Code:-  Explanation:- First we imported modules and created a Python's list (list1). After that we called Pandas Series Function to convert Python List into Series. Here we have not passed any index, It will take a

  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