python matplotlib 2

Legend

上一回自己寫了，原來這邊就有XD 正所謂英雄所見略同，就是這意思啦! XDD

• plt.legend(loc = "lower center") # loc = 8(lower center)

• legend 位置 - API

  Location String	Location Code
  best	0
  upper right	1
  upper left	2
  lower left	3
  lower right	4
  right	5
  center left	6
  center right	7
  lower center	8
  upper center	9
  center	10

Annotate

• API

Using Axes

   fig = plt.figure()
   
   # new Figure 的　axes (left, bottom, width, heigh)的比例 介於(0~1)
   axes1 = fig.add_axes([0.05, 0.05, 0.425, 0.8])
   axes2 = fig.add_axes([0.55, 0.05, 0.425, 0.8])
   
   # axes1
   axes1.plot(edu.Year, edu["Physical Sciences"], color="blue")
   axes1.set_xlabel('Year')
   axes1.set_ylabel('Physical Sciences')
   axes1.set_title('Year vs. PS')
   
   # axes2
   axes2.plot(edu.Year, edu["Computer Science"], color="red")
   axes2.set_xlabel('Year')
   axes2.set_ylabel('CS')
   axes2.set_title('Year vs. CS')
   
   #  整張大圖
   fig.suptitle('Comparision', fontsize=16, fontweight="bold")
   plt.show()

Using subplot

   plt.figure()
   
   # ax1
   ax1 = plt.subplot(2,2,1)
   ax1.plot(edu.Year, edu["Physical Sciences"], color="blue")
   ax1.title.set_text("Physical Sciences")
   
   # ax2
   ax2 = plt.subplot(2,2,2)
   ax2.plot(edu.Year, edu["Computer Science"], color="red")
   ax2.title.set_text("Computer Science")
   
   # ax3
   ax3 = plt.subplot(2,2,3)
   ax3.plot(edu.Year, edu["Health Professions"], color="green")
   ax3.title.set_text("Health Professions")
   
   # ax4
   ax4 = plt.subplot(2,2,4)
   ax4.plot(edu.Year, edu["Education"], color="yellow")
   ax4.title.set_text("Education")
   
   # impove the spacing between sublots and display them
   plt.tight_layout()
   plt.show()

Using xlim(), ylim()

   plt.plot(edu.Year, edu['Computer Science'], color='red')
   plt.plot(edu.Year, edu['Physical Sciences'], color='blue')
   
   plt.xlim([1990, 2010])
   plt.ylim([0 , 50])

圖畫風格

• 查詢:
  • plt.style.available

     ['bmh',
      'classic',
      'dark_background',
      'fast',
      'fivethirtyeight',
      'ggplot',
      'grayscale',
      'seaborn-bright',
      'seaborn-colorblind',
      'seaborn-dark-palette',
      'seaborn-dark',
      'seaborn-darkgrid',
      'seaborn-deep',
      'seaborn-muted',
      'seaborn-notebook',
      'seaborn-paper',
      'seaborn-pastel',
      'seaborn-poster',
      'seaborn-talk',
      'seaborn-ticks',
      'seaborn-white',
      'seaborn-whitegrid',
      'seaborn',
      'Solarize_Light2',
      'tableau-colorblind10',
      '_classic_test']
    

• 使用:
  • plt.style.use(“xxx”)