dsutil 0.2.1

Collection of utils for making your life easier when using the Python data science stack

python-ds-util

Installation

The library is available on pip:

pip install dsutil

Examples

For full usage examples see notebooks under the examples directory.

Plotting

Full examples for plotting here

• add_grid(): reasonable default grid settings, with weak grey lines, light alpha, etc.

  import numpy as np
  import matplotlib.pyplot as plt
  from dsutil.plotting import add_grid
  
  x = np.linspace(0.0,100,10)
  y = np.random.uniform(low=0,high=10,size=10)
  
  plt.bar(x,y)
  
  add_grid()
  

• add_value_labels() annotates barplots, line plots and scatter plots with values for the coordinates

  import numpy as np
  import matplotlib.pyplot as plt
  from dsutil.plotting import add_value_labels
  
  x = np.linspace(0.0,100,10)
  y = np.random.uniform(low=0,high=10,size=10)
  
  plt.bar(x,y)
  
  add_value_labels()
  

• format_yaxis_percentage(): turns values between 0 and 1 in y-axis into percentages

  import numpy as np
  import matplotlib.pyplot as plt
  from dsutil.plotting import format_yaxis_percentage
  
  x = np.linspace(0.0,100,10)
  y = np.random.uniform(low=0,high=1,size=10)
  
  plt.bar(x,y)
  plt.yticks(np.arange(0,1.01,0.1))
  
  format_yaxis_percentage()
  

• format_yaxis_thousands(): uses commas as thousands separator in the y-axis labels

  import numpy as np
  import matplotlib.pyplot as plt
  from dsutil.plotting import format_yaxis_thousands
  
  x = np.linspace(0.0,100,10)
  y = np.random.uniform(low=10000,high=100000,size=10)
  
  plt.bar(x,y)
  plt.yticks(np.arange(0,100001,10000))
  
  format_yaxis_thousands()