Code Portfolio Example

Code Portfolio Example#

READ THIS: You are expected to create at least one item per class period (roughly days 1-10 for the checkpoint and days 1-24 for the final assignment). How the items are structured is up to you (markdown, code, images, etc.), but they need to be noted by the class day (see the example below for reference). If you have any questions, please reach out to your section instructor!

Day 3#

Looping by Index#

The code below loops by index over the value of x and adds 4 to all of the values.

When I use this code, I need to change:

  • range(len(x)) (specifically, the value x) to whatever we are looping over.

  • x[gg] = x[gg]+4 To whatever procedure we want the loop to be repeating.

x = [4,12,16,22,33,49]

for gg in range(len(x)):
    x[gg] = x[gg]+4

Reading in Data Using Pandas#

1-24-22#

The code below reads in a .csv file using Pandas’s read_csv function. This should really only be used for CSV files or Excel files (using read_excel). Use Numpy’s fromfile to read in binary (.bin) or Yaff (.yaff) files.

When I use this code, I need to change:

  • data to be a more descriptive variable name.

  • dataset.csv to the name of the data file.

  • delimeter if the delimeter isn’t a comma (other delimeters include ;).

  • skiprows if there are rows at the top of the file I want to skip.

  • encoding if the encoding is something other than utf-8 (other encodings include utf-16be).

import pandas as pd

data = pd.read_csv("dataset.csv",delimiter=',',skiprows=0,encoding='utf-8')

Reading in Data Using Numpy#

1-24-22#

The code below reads in a .bin file using Numpy’s fromfile function. This works for all kinds of file types, including binary (.bin) and yaff (.yaff).

When I use this code, I need to change:

  • data to be a more descriptive variable name.

  • dataset.bin to the name of the data file.

  • dtype to be whatever the data type that this file uses (other commonly used types are float32).

import numpy as np

data = np.fromfile('dataset.bin', dtype='int32')

Making a Plot#

1-24-22#

The code below creates a plot showing x_data versus y_data.

When I use this code, I need to change:

  • x_data to whatever my x variable is.

  • y_data to whatever my y variable is.

  • label to whatever the label fo this dataset is.

  • xlabel to whatever the name of my x variable is.

  • ylabel to whatever the name of my y variable is.

  • title to whatever the title of this figure should be.

import matplotlib.pyplot as plt
%matplotlib inline

plt.plot(x_data,y_data,label="X Data")
plt.xlabel("X Data")
plt.ylabel("Y Data")
plt.title("X Vs. Y Dataset")
plt.grid()
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