In [35]:
%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, 28))

for sp in range(0,6):
    ax = fig.add_subplot(6,3,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")
    ax.set_xticks([])
    ax.set_yticks([0,100])
    ax.axhline(50, c=(171/255, 171/255, 171/255), alpha=0.3)
    
    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')
        
        

        
other_cats=['Health Professions','Public Administration','Education', 'Agriculture', 'Business','Architecture']
fig = plt.figure(figsize=(18, 28))
for sp in range(0,6):
    ax = fig.add_subplot(6,3,sp+1)
    ax.plot(women_degrees['Year'], women_degrees[other_cats[sp]], c=cb_dark_blue, label='Women', linewidth=3)
    ax.plot(women_degrees['Year'], 100-women_degrees[other_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(other_cats[sp])
    ax.tick_params(bottom="off", top="off", left="off", right="off")
    ax.set_xticks([])
    ax.set_yticks([0,100])
    ax.axhline(50, c=(171/255, 171/255, 171/255), alpha=0.3)
    
    if sp == 0:
        ax.text(2005, 90, 'Men')
        ax.text(2005, 8, 'Women')
    elif sp == 5:
        ax.text(2006, 60, 'Men')
        ax.text(2005, 35, 'Women')        
        
        

lib_arts_cats=['Foreign Languages','English','Communications and Journalism', 'Art and Performance', 'Social Sciences and History']
fig = plt.figure(figsize=(18, 28))
for sp in range(0,5):
    ax = fig.add_subplot(6,3,sp+1)
    ax.plot(women_degrees['Year'], women_degrees[lib_arts_cats[sp]], c=cb_dark_blue, label='Women', linewidth=3)
    ax.plot(women_degrees['Year'], 100-women_degrees[lib_arts_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(lib_arts_cats[sp])
    ax.tick_params(bottom="off", top="off", left="off", right="off")
    ax.set_yticks([0,100])
    ax.axhline(50, c=(171/255, 171/255, 171/255), alpha=0.3)
    
    if sp == 0:
        ax.text(2005, 75, 'Men')
        ax.text(2005, 22, 'Women')
        ax.set_xticks([])
    if sp==1:
        ax.set_xticks([])
        
        

plt.show()
plt.savefig('degrees_degrees.png')
<matplotlib.figure.Figure at 0x7f304f6215f8>
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