%matplotlib inline
import sys
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()
# Creates categories lists
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']
def remove_spines_and_tick_params(ax):
for spine_key in ax.spines.keys():
ax.spines[spine_key].set_visible(False)
ax.tick_params(labelbottom='off')
ax.tick_params(bottom=False, top=False, left=False, right=False, labelbottom=False)
return ax
def add_horizontal_line(ax):
light_gray = (171/255, 171/255, 171/255)
ax.axhline(50, c=light_gray, alpha=0.3)
return ax
def add_plot_from_categories_list(categories_list, index, sp):
ax = fig.add_subplot(6, 3, sp + 1)
ax.plot(women_degrees['Year'], women_degrees[categories_list[index]],
c=cb_dark_blue, label='Women', linewidth=3)
ax.plot(women_degrees['Year'], 100 - women_degrees[categories_list[index]],
c=cb_orange, label='Men', linewidth=3)
ax = remove_spines_and_tick_params(ax)
ax = add_horizontal_line(ax)
ax.set_xlim(1968, 2011)
ax.set_ylim(0,100)
ax.set_title(categories_list[index])
return ax
fig = plt.figure(figsize=(18, 20))
# Creates charts for steam_cats list
for sp in range(0,18,3):
index = int(sp/3)
ax = add_plot_from_categories_list(stem_cats, index, sp)
if index == 0:
ax.text(2005, 87, 'Men')
ax.text(2002, 8, 'Women')
#ax.legend(loc='best')
elif index == 5:
ax.text(2005, 62, 'Men')
ax.text(2001, 35, 'Women')
ax.tick_params(labelbottom=True)
# Creates charts for lib_arts_cats list
for sp in range(1,16,3):
index = int(sp/3)
ax = add_plot_from_categories_list(lib_arts_cats, index, sp)
if index == 0:
ax.text(2005, 73, 'Men')
ax.text(2002, 14, 'Women')
#ax.legend(loc='best')
elif index == 4:
ax.text(2005, 62, 'Men')
ax.text(2001, 35, 'Women')
ax.tick_params(labelbottom=True)
# Creates charts for lib_arts_cats list
for sp in range(2,18,3):
index = int(sp/3)
ax = add_plot_from_categories_list(other_cats, index, sp)
if index == 0:
ax.text(2005, 87, 'Men')
ax.text(2002, 8, 'Women')
#ax.legend(loc='best')
elif index == 5:
ax.text(2005, 62, 'Men')
ax.text(2001, 35, 'Women')
ax.tick_params(labelbottom=True)
plt.savefig("gender_degrees.png")