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    Numpy

    Uploaded by

    Dr. Soumitra Das
    DS

    Copyright:

    © All Rights Reserved
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    Numpy

    Uploaded by

    Dr. Soumitra Das
    35 views7 pages
    DS

    Copyright

    © © All Rights Reserved

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    PPTX, PDF, TXT or read online from Scribd

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    DS

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd
    Download as pptx, pdf, or txt
    35 views7 pages

    Numpy

    Uploaded by

    Dr. Soumitra Das
    DS

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd
    Download as pptx, pdf, or txt
    of 7

    Prof.

    Manjusha Tatiya
    Dr. Deepak Dharrao
    Prof.Deepali Dhadwad

    Indira College of Engineering Management, Pune


    CONTENT
    • What is NumPy?
    • Why NumPy?
    • Where is NumPy used?
    • NumPy Operations
    • Data Analysis of Cab Ride of New York city.

    Monday, September 18, 2023 Indira College of Engineering Management, Pune


    What is NumPy?
    • NumPy is a Python package that stands for ‘Numerical Python’.
    • It is the core library for scientific computing, which contains a
    powerful n-dimensional array object.

    Monday, September 18, 2023 Indira College of Engineering Management, Pune


    Why NumPy?
    • We use python NumPy array instead of a list because of the below
    three reasons:
    1. Less Memory
    2. Fast
    3. Convenient

    Monday, September 18, 2023 Indira College of Engineering Management, Pune


    Where is NumPy used?
    • Python NumPy arrays provide tools for integrating C, C++, etc.
    • It is also useful in Mathematics,Statistics, linear algebra, random number capability, load data from file,
    miscellaneous etc. NumPy array can also be used as an efficient multi-dimensional container for generic data.
    • Basics:
     ndim,
     shape,
     size,
     accessing/changing specific elements,
     row,
     col,
     reshape,
     stacking
    • Mathematics;Addition,subtraction,mult,div,sin,cos,**
    • Linear Algebra: Matmul,identity matrix,determinant,eigen values…
    • Statistics:mean,max,min,median,standard deviation
    • Random number generation
    • Miss:load data fromfile,astype,advance indexing

    Monday, September 18, 2023 Indira College of Engineering Management, Pune


    NumPy Operations
    • ndim
    • itemsize
    • dtype
    • reshape
    • shape
    • size
    • slice
    • linespace
    • max/min
    • square root and standard deviation
    • Addition, Subtraction, Multiplication, Division,transpose
    • Vertical and Horizontal Stacking
    • union,intersection,set difference
    • save and load
    • Special function: sin, cos, tan, log

    Monday, September 18, 2023 Indira College of Engineering Management, Pune


    #Data Analysis of Cab ride of Newyork city toand from the airport
    import numpy as np
    t=np.genfromtxt("taxi.csv",delimiter=',',skip_header=True)
    t=t.astype('int32')
    print(t)
    #Prints Diminesions
    print(t.ndim)
    #Prints number of rows in dataset
    print("Rows are ",t.shape[0])
    #Prints number of columns in dataset
    print("Columns are ",t.shape[1])
    #print Size of 2d array
    print("Size is ",t.size)
    #Mean speed of all the rides
    #speed =dist/time
    speed=t[:,7]/(t[:,8]/3600)
    mspeed=speed.mean()
    print(mspeed)
    #Number of rides taken in Feb
    rides=t[t[:,1]==2,1]
    print(rides.shape[0])
    #Number of rides where tip was more then $50
    print(t[t[:,-3]>50,-3].shape[0])
    Monday, September 18, 2023 Indira College of Engineering Management, Pune

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