Python数据分析与机器学习-Matplot_6

import pandas as pd
import matplotlib.pyplot as plt

women_degrees = pd.read_csv(\'percent-bachelors-degrees-women-usa.csv\')
major_cats = [\'Biology\', \'Computer Science\', \'Engineering\', \'Math and Statistics\']

cb_dark_blue = (0/255, 107/255, 164/255)
cb_orange = (255/255, 128/255, 14/255)

fig = plt.figure(figsize=(12, 12))

for sp in range(0,4):
    ax = fig.add_subplot(2,2,sp+1)
    # The color for each line is assigned here.
    ax.plot(women_degrees[\'Year\'], women_degrees[major_cats[sp]], c=cb_dark_blue, label=\'Women\')
    ax.plot(women_degrees[\'Year\'], 100-women_degrees[major_cats[sp]], c=cb_orange, label=\'Men\')
    #for key,spine in ax.spines.items():
    #    spine.set_visible(False)
    ax.set_xlim(1968, 2011)
    ax.set_ylim(0,100)
    ax.set_title(major_cats[sp])
    ax.tick_params(bottom="off", top="off", left="off", right="off")

plt.legend(loc=\'upper right\')
plt.show()

# Setting Line Width
cb_dark_blue = (0/255, 107/255, 164/255)
cb_orange = (255/255, 128/255, 14/255)

fig = plt.figure(figsize=(12, 12))

for sp in range(0,4):
    ax = fig.add_subplot(2,2,sp+1)
    # Set the line width when specifying how each line should look.
    ax.plot(women_degrees[\'Year\'], women_degrees[major_cats[sp]], c=cb_dark_blue, label=\'Women\', linewidth=10)
    ax.plot(women_degrees[\'Year\'], 100-women_degrees[major_cats[sp]], c=cb_orange, label=\'Men\', linewidth=10)
    # for key,spine in ax.spines.items():
    #    spine.set_visible(False)
    ax.set_xlim(1968, 2011)
    ax.set_ylim(0,100)
    ax.set_title(major_cats[sp])
    ax.tick_params(bottom="off", top="off", left="off", right="off")

plt.legend(loc=\'upper right\')
plt.show()

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)
    for key,spine in ax.spines.items():
        spine.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")

plt.legend(loc=\'upper right\')
plt.show()

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)
    for key,spine in ax.spines.items():
        spine.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")
plt.legend(loc=\'upper right\')
plt.show()

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)
    for key,spine in ax.spines.items():
        spine.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()