Python数据分析与机器学习-Matplotlib

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'] # plt.plot(women_degrees['Year'], women_degrees['Biology']) # plt.show() # plt.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() # ax.plot(women_degrees['Year'], women_degrees['Biology'], label='Women') # ax.plot(women_degrees['Year'], 100 - women_degrees['Biology'], label='Men') # #图像的刻度、标注等部分作不显示设置 # 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) # ax.legend(loc='upper right') # plt.show() # 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') # # # 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() # 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') #在指定位置添加文字 # ax.text(2002, 8, 'Women') # elif sp == 5: # ax.text(2005, 62, 'Men') # ax.text(2001, 35, 'Women') # plt.show()