In [2]:
%matplotlib inline
import pandas as pd
import matplotlib.pyplot as plt

women_degrees = pd.read_csv('percent-bachelors-degrees-women-usa.csv')
cb_dark_blue = (0/255,107/255,164/255)
cb_orange = (255/255, 128/255, 14/255)
stem_cats = ['Engineering', 'Computer Science', 'Psychology', 'Biology', 'Physical Sciences', 'Math and Statistics']

fig = plt.figure(figsize=(18, 3))

for sp in range(0,6):
    ax = fig.add_subplot(1,6,sp+1)
    ax.plot(women_degrees['Year'], women_degrees[stem_cats[sp]], c=cb_dark_blue, label='Women', linewidth=3)
    ax.plot(women_degrees['Year'], 100-women_degrees[stem_cats[sp]], c=cb_orange, label='Men', linewidth=3)
    ax.spines["right"].set_visible(False)    
    ax.spines["left"].set_visible(False)
    ax.spines["top"].set_visible(False)    
    ax.spines["bottom"].set_visible(False)
    ax.set_xlim(1968, 2011)
    ax.set_ylim(0,100)
    ax.set_title(stem_cats[sp])
    ax.tick_params(bottom="off", top="off", left="off", right="off")
    
    if sp == 0:
        ax.text(2005, 87, 'Men')
        ax.text(2002, 8, 'Women')
    elif sp == 5:
        ax.text(2005, 62, 'Men')
        ax.text(2001, 35, 'Women')
plt.show()
In [34]:
stem_cats = ['Psychology', 'Biology', 'Math and Statistics', 'Physical Sciences', 'Computer Science', 'Engineering']
lib_arts_cats = ['Foreign Languages', 'English', 'Communications and Journalism', 'Art and Performance', 'Social Sciences and History']
other_cats = ['Health Professions', 'Public Administration', 'Education', 'Agriculture','Business', 'Architecture']
all_cats = []
all_cats.append(stem_cats)
all_cats.append(lib_arts_cats)
all_cats.append(other_cats)

fig = plt.figure(figsize=(17, 17))

for sp in range(0,3):
    position = sp+1
    cats_array = all_cats[sp]
    for i in range(0,6):
        if position != 17:
            ax = fig.add_subplot(6,3,position)
            ax.plot(women_degrees['Year'], women_degrees[cats_array[i]], c=cb_dark_blue, label='Women', linewidth=3)
            ax.plot(women_degrees['Year'], 100-women_degrees[cats_array[i]], c=cb_orange, label='Men', linewidth=3)
            ax.spines["right"].set_visible(False)    
            ax.spines["left"].set_visible(False)
            ax.spines["top"].set_visible(False)    
            ax.spines["bottom"].set_visible(False)
            ax.set_xlim(1968, 2011)
            ax.set_ylim(0,100)
            ax.set_title(cats_array[i])
            ax.tick_params(bottom="off", top="off", left="off", right="off", labelbottom='off')
            ax.set_yticks([0,100])
            ax.axhline(50, c=(171/255, 171/255, 171/255), alpha=0.3)
        if position == 1:
            ax.text(2005, 82, 'Women')
            ax.text(2005, 10, 'Men')
        elif position == 2:
            ax.text(2005, 20, 'Men')
            ax.text(2005, 78, 'Women')
        elif position == 3:
            ax.text(2005, 5, 'Men')
            ax.text(2005, 90, 'Women')
        elif position == 14:
            ax.tick_params(labelbottom='on')
        elif position == 16:
            ax.text(2005, 87, 'Men')
            ax.text(2005, 7, 'Women')
            ax.tick_params(labelbottom='on')
        elif position == 18:
            ax.text(2005, 60, 'Men')
            ax.text(2005, 30, 'Women')
            ax.tick_params(labelbottom='on')
        position+=3
plt.savefig("gender_degrees.png")
plt.show()
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