Ze1598

"""
Citation examples used in the sample text (random authors and titles with random dates)
(Sabbagh, 2009)
(Sabbagh, n.d.)
(Sabbagh, 2010a)
(Sabbagh, 2010b)
(Qianyi Gu & Sumner, 2006)
(Despotovic-Zrakic et al., 2012)
(Anonymous, 2010)
(Anonymous, n.d.)

Ze1598

"""
Citation examples:
("Learning Analytics - Definitions, Processes and Potential", p. 2)
("Wanted: A road map for understanding Integrated Learning Systems")
"""
import docx2txt as docx
import re

# Open the document
text = docx.process("my_lorem_sample.docx")

Ze1598

Sales people:
Lyndsey Britt
Humphrey Barr
Mathew Rudd
Gianluca Fenton
Alfie-Lee Schultz
Amarah Mccarty
Douglas Povey
Dulcie Squires
Haydon Fisher

Ze1598

from matplotlib import pyplot as plt
import numpy as np

days = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
# Need to save the data for the Y axis as NumPy arrays because the\
# `fill_between()` method needs to receive arrays instead of lists
company_sales = np.array([2, 6, 9, 12, 8, 15, 20, 32, 27, 30])
competition_sales = np.array([1, 2, 4, 5, 13, 12, 18, 22, 34, 38])

plt.plot(days, company_sales, color="blue", label="Company A")

Ze1598

from matplotlib import pyplot as plt

ages = [83, 50, 88, 31, 37, 52, 81, 58, 23, 60, 51, 62, 36, 95, 64, 59, 91, 70, 35,
        94, 61, 65, 96, 21, 95, 78, 99, 33, 29, 35, 29, 98, 54, 48, 97, 41, 29, 82,
        67, 55, 37, 99, 20, 69, 70, 98, 88, 41, 30, 58, 96, 33, 25, 52, 40, 69, 40,
        32, 50, 51, 64, 57, 75, 87, 37, 37, 82, 68, 65, 96, 45, 27, 52, 86, 51, 45,
        52, 67, 72, 98, 84, 76, 43, 26, 44, 41, 58, 19, 84, 21, 87, 46, 84, 76, 61,
        74, 32, 58, 66, 29]
bins = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]

Ze1598

from matplotlib import pyplot as plt

pairs_owned = [16, 9, 9, 6]
options = ["One", "Two", "Three", "Four+"]

plt.barh(options, pairs_owned)

plt.title("Years of experience working with Python (n=40)")
plt.xlabel("Number of respondents")
plt.tight_layout()

Ze1598

from matplotlib import pyplot as plt

pairs_owned = [16, 9, 9, 6]
options = ["One", "Two", "Three", "Four+"]

plt.bar(options, pairs_owned)

plt.title("Years of experience working with Python (n=40)")
plt.ylabel("Number of respondents")
plt.tight_layout()

Ze1598

from matplotlib import pyplot as plt

slices = [1, 9, 3, 3, 4]
labels = ["Management", "Sales", "Quality Assurance", "Accounting", "Human Resources"]
colors = ["#ff9999", "#66b3ff", "#99ff99", "#ffcc99", "#cccccc"]

plt.pie(slices, labels=labels, colors=colors, autopct="%1.2f%%")

plt.title("Size of departments at Company A")
plt.tight_layout()

Ze1598

from matplotlib import pyplot as plt

x_coords = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
fav_nums = [9, 37, 45, 32, 46, 56, 28, 9, 16, 68, 64, 100, 25, 1, 59, 50, 31, 96, 13, 76]

plt.scatter(x_coords, fav_nums, marker="x", color="red")

plt.ylabel("Favorite number")
plt.xticks([])
plt.title("Favorite number of twenty individuals")

Ze1598

from matplotlib import pyplot as plt

nums = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
doubles = [2, 4, 6, 8, 10, 12, 14, 16, 18, 20]
squares = [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]

plt.plot(nums, doubles, label="Doubles", color="red")
plt.plot(nums, squares, label="Squares", color="blue")

plt.xlabel("Number")