Matplotlib

Example Template

• Setting for Jupyter Notebook

  import numpy as np 
  
  # Ploting Configuration
  import matplotlib.pyplot as plt  
  import matplotlib.ticker as ticker
  
  #-----------------------------------------------
  # Reference:
  # https://matplotlib.org/stable/tutorials/introductory/customizing.html
  #-----------------------------------------------
  
  # For axes (outer box)
  plt.rc('axes', labelsize='medium')  # fontsize of the x any y labels
  plt.rc('axes', linewidth=0.5) 
  plt.rc('axes', labelpad=4) 
  # For ticks and grid
  plt.rc('xtick.major', width=0.5, pad=7)
  plt.rc('ytick.major', width=0.5, pad=4)
  plt.rc('xtick.minor', width=0.5)
  plt.rc('ytick.minor', width=0.5)
  plt.rc('xtick', labelsize='small', direction='in', top='True')
  plt.rc('ytick', labelsize='small', direction='in', right='True')
  plt.rc('grid', linewidth=0.5, color='0.9') 
  # Text and others
  plt.rc('text', usetex=True)     # Latex support
  plt.rc('font', family='serif')
  plt.rc('lines', linewidth=0.5)  # Linewidth of data
  plt.rc('savefig', dpi=300)
  
  # Setting for Jupyter Notebook
  %matplotlib inline
  %config InlineBackend.figure_format = 'retina'
  

• Ploting

  # Functions for example plot
  def db(x):
      return 20.*np.log10(x)
  def model(f):
      return 10./(f-1.j*10)
  
  # figsize=(x, y), change x and y by yourself!!!
  fig = plt.figure(figsize=(5, 3.5)) 
  
  
  # Magnitude
  plt.subplot(2, 1, 1)    # subplot(nrows, ncols, index)
  plt.title("Low Pass Filter")
  f = np.logspace(0, 3, 1000)
  plt.semilogx(f, db(np.abs(model(f))), "b", label="LFP")
  
  plt.xlim(1e0, 1e3)
  plt.ylabel('Magnitude(dB)')
  plt.grid(True, which='major')
  plt.grid(True, which='minor', linestyle=':')
  plt.legend(loc=1, fontsize=8, fancybox=False)
  
  
  # Phase
  plt.subplot(2, 1, 2)
  plt.semilogx(f, np.angle(model(f), deg=True), "b", label="LPF")
  
  plt.xlim(1e0, 1e3)
  plt.ylim(0, 90)
  plt.xlabel('Frequency (Hz)')
  plt.ylabel('Phase (deg) ')
  plt.grid(True, which='major')
  plt.grid(True, which='minor', linestyle=':')
  plt.legend(loc=1, fontsize=8, fancybox=False)
  
  
  plt.tight_layout()
  fig.savefig('plot.pdf')
  fig.savefig('plot@2x.png')