Guided project Review : Visualizing The Gender Gap In College Degrees

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#1

Thanks for the well explained mission :slight_smile: I really enjoyed this one antd the guided project was intresting and not hard. Here it is :slight_smile: maybe is usefull for someone

    %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 = ['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']
fig = plt.figure(figsize=(18,18))

for sp in range(0,6):
    ax = fig.add_subplot(6,3,sp*3+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_yticks([0,100])
    ax.axhline(50, c=(171/255, 171/255, 171/255), alpha=0.3)
    ax.set_title(stem_cats[sp])
    ax.tick_params(bottom="off", top="off", left="off", right="off", labelbottom='off')
    
    if sp == 0:
        ax.text(2005, 87, 'Women')
        ax.text(2002, 8, 'Men')
    elif sp == 5:
        ax.text(2005, 90, 'Men')
        ax.text(2001, 8, 'Women')
        ax.tick_params(labelbottom='on')

for lc in range(0,5):
    ax = fig.add_subplot(6,3,lc*3+2)
    ax.plot(women_degrees['Year'], women_degrees[lib_arts_cats[lc]], c=cb_dark_blue, label='Women', linewidth=3)
    ax.plot(women_degrees['Year'], 100-women_degrees[lib_arts_cats[lc]], 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_yticks([0,100])
    ax.axhline(50, c=(171/255, 171/255, 171/255), alpha=0.3)
    ax.set_title(lib_arts_cats[lc])
    ax.tick_params(bottom="off", top="off", left="off", right="off", labelbottom='off')    
    if lc == 0:
        ax.text(2005, 75, 'Men')
        ax.text(2002, 20, 'Women')
    if lc == 4:    
        ax.tick_params(labelbottom='on')
        
for oc in range(0,6):
    ax = fig.add_subplot(6,3,oc*3+3)
    ax.plot(women_degrees['Year'], women_degrees[other_cats[oc]], c=cb_dark_blue, label='Women', linewidth=3)
    ax.plot(women_degrees['Year'], 100-women_degrees[other_cats[oc]], 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_yticks([0,100])
    ax.axhline(50, c=(171/255, 171/255, 171/255), alpha=0.3)
    ax.set_title(other_cats[oc])
    ax.tick_params(bottom="off", top="off", left="off", right="off", labelbottom='off')    
    if oc == 0:
        ax.text(2005, 87, 'Men')
        ax.text(2002, 8, 'Women')
        
    if oc == 5:
        ax.text(2005, 70, 'Men')
        ax.text(2002, 25, 'Women')
        ax.tick_params(labelbottom='on')
        
plt.show()
plt.savefig('biology_degrees.png')
1 Like
#2

Hi @leikcaro:

Do you mind providing the mission link and tagging this topic using these guidelines so that students can more easily find which mission you are referring to?

Perhaps you could also give a more descriptive topic like which part students may face difficulty in that your code tries to solve. Note that the guidelines not only apply for asking questions, but sharing code too.

Thanks.

1 Like