Saturday, July 25

PUBG DataSet Analysis with Pandas

Very basic level analysis with pubg dataset could be done by me with some junior level knowledge on pandas library

Dataset Link : PUBG DATASET
Dataset Analysis : Analysis on DATASET

Wednesday, July 22

Hierarchical indexing in pandas

Hierarchical indexing is an important feature of pandas enabling you to have multiple (two or more) index level on axis.  Somewhat abstractly , it provides a way for you to work with higher dimensional data in  lower dimensional form.
       Let's start  

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Saturday, July 18

Simple application on Iris flower

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Friday, July 17

Reindex function in Pandas

=> A critical method on pandas object is reindex .
=> Which means to create a new object with the data confirmed to a new index .
=> Introducing missing values if any index values were not already present :
 

Thursday, July 16

Random Walks example Using Numpy module

An illustrative application of utilizing array operation is in the simulation of random walks. Let's first consider a simple random walks starting at 0 with steps of 1 and -1 occurring with equal probability.   
                    The walk is simply the cumulative sum of the random steps and could be evaluated as an array expression. Thus, I use the np.random module to draw 1000 coin flips at once ,set these to 1 to -1, and compute the cumulative sum :
 

Wednesday, July 15

meshgrid and where functions in Numpy

meshgrid () :-
     => It takes two 1D arrays and produces two 2D matrices corresponding to all pairs for (x,y) in             the two arrays.

            


where () :-
    => The numpy.where() function is a vectorized version of the ternary expression .
                ex : x if condition else y .

            
            

    

Tuesday, July 14

Fancy Indexing in Numpy

         => Fancy indexing is a term adopted by Numpy to describe indexing using integer arrays.
         => To select out a subset of the rows in a particular order .
         => You can pass either list or array of elements .
         => It also supports negative indices select rows from the end .


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