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Reading 11: Numpy & JupyterLab

NumPy Tutorial: Data Analysis with Python

Numpy is a commonly used data analysis package data is ssv(semicolon separated values) format read the data (as the author described) an example was shown to get the mean:

    qualities =
    [float(item[-1]) for item in wines[1:]]
    sum(qualities) / len(qualities)

Numpy 2-Dimensional Arrays

is a matrix,with rows and columns.

the author shows how to create A NumPy Array:

  • Import the numpy package.

  • Pass the list of lists wines into the array function, which converts it into a NumPy array.

  • Exclude the header row with list slicing.

  • Specify the keyword argument dtype to make sure each element is converted to a float. We’ll dive more into what the dtype is later on.

      import csv
  with open("winequality-red.csv", 'r') as f:
  wines = list(csv.reader(f, delimiter=";"))
  import numpy as np
  wines = np.array(wines[1:], dtype=np.float)

other methods :

    import numpy as np
    empty_array = np.zeros((3,4))
    empty_array

Using NumPy To Read In Files:

  • Use the genfromtxt function to read in the winequality-red.csv file.

  • Specify the keyword argument delimiter=";" so that the fields are parsed properly.

  • Specify the keyword argument skip_header=1 so that the header row is skipped.

      wines = np.genfromtxt("winequality-red.csv", delimiter=";", skip_header=1)

the author also mentioned alot of functionality including

  • Indexing NumPy Arrays
  • Slicing NumPy Arrays
  • Assigning Values To NumPy Arrays

recheck : link

JupyterLab

Work with documents and activities such as Jupyter notebooks, text editors, etc in a flexible manner.

the video is about using JupyterLab terminals support linux and powershell

image formats are also supported.

    • = to zoom in and out
  • to rotate
  • 0 to reset

json files can be edited

jupyter notebook are new ways to work togother with data and code seamlessly together Jupiter has two modes when a notebook opens you're in command mode which is designed for easily navigating and changing the framework.

some commands:

    adding a cell above with a
    adding a cell below with b
    c for copy 
    v for paste
    x is for cut
    delete with dd
    z to under
    shift+z redo
    y to change cell format to code
    m to change cell format to markdown

M=edit mode shift + enter run cell

whatever we use in markdown is applicable as well.

    *italic*
    **bold**
    - unorderlist 
    1. orderd list
    > for blackquote
    --- horizental line
    `inline code`
    ''' 
    block of code
    '''
    equation sby framing with dollarsign 
    $ x^2 
    typing with url will make it a link 
    www.xyz.com
    or 
    [link](www.xyz.com)

Y to change mode to code:

    x=1
    print(x)
    shift +enter to run it and 1 will be shown
    0 0 to reset