Python-Matplotlib(4) 基于真实数据集的可视化分析

import pandas as pdimport matplotlib.pyplot as pltwomen_degrees = pd.read_csv('percent-bachelors-degrees-women-usa.csv')plt.plot(women_degrees['Year'], women_degrees['Biology'])plt.show()

#100-women_degrees means menplt.plot(women_degrees['Year'], women_degrees['Biology'], c='blue', label='Women')plt.plot(women_degrees['Year'], 100-women_degrees['Biology'], c='green', label='Men')plt.legend(loc='upper right')plt.title('Percentage of Biology Degrees Awarded By Gender')plt.show()

fig, ax = plt.subplots()# Add your code here.fig, ax = plt.subplots()ax.plot(women_degrees['Year'], women_degrees['Biology'], label='Women')ax.plot(women_degrees['Year'], 100-women_degrees['Biology'], label='Men')ax.tick_params(bottom="off", top="off", left="off", right="off")ax.set_title('Percentage of Biology Degrees Awarded By Gender')ax.legend(loc="upper right")plt.show()

fig, ax = plt.subplots()ax.plot(women_degrees['Year'], women_degrees['Biology'], c='blue', label='Women')ax.plot(women_degrees['Year'], 100-women_degrees['Biology'], c='green', label='Men')ax.tick_params(bottom="off", top="off", left="off", right="off")for key,spine in ax.spines.items():    spine.set_visible(False)# End solution code.ax.legend(loc='upper right')plt.show()

major_cats = ['Biology', 'Computer Science', 'Engineering', 'Math and Statistics']fig = plt.figure(figsize=(12, 12))for sp in range(0,4):    ax = fig.add_subplot(2,2,sp+1)    ax.plot(women_degrees['Year'], women_degrees[major_cats[sp]], c='blue', label='Women')    ax.plot(women_degrees['Year'], 100-women_degrees[major_cats[sp]], c='green', label='Men')    # Add your code here.# Calling pyplot.legend() here will add the legend to the last subplot that was created.plt.legend(loc='upper right')plt.show()major_cats = ['Biology', 'Computer Science', 'Engineering', 'Math and Statistics']fig = plt.figure(figsize=(12, 12))for sp in range(0,4):    ax = fig.add_subplot(2,2,sp+1)    ax.plot(women_degrees['Year'], women_degrees[major_cats[sp]], c='blue', label='Women')    ax.plot(women_degrees['Year'], 100-women_degrees[major_cats[sp]], c='green', 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")# Calling pyplot.legend() here will add the legend to the last subplot that was created.plt.legend(loc='upper right')plt.show()