Plotify

A simple class to give plots some styling. It is a very light skin over matplotlib.pyplot.

Installation

pip install pyplotify

Once you have it installed in your root directory:

from pyplotify import Plotify

plotify = Plotify()

Then use the available methods. So far we have boxplot(), scatter_plot(), histogram().

Examples

A few examples using the Plotify class

Boxplot

plotify.boxplot(
  data=[smokers_FEV1, nonsmokers_FEV1],
  labels=['Smokers', 'Non-smokers'],
  ylabel='FEV1 score',
  title='FEV1 scores for smokers\nand non-smokers'
)

Scatter Plot

plotify.scatter_plot(
  x_list=[nonsmokers_x, smokers_x],
  y_list=[nonsmokers_y, smokers_y],
  linewidth = 0.25,
  alpha = 0.5,
  xlabel = 'Age',
  ylabel = 'FEV1 score',
  title='FEV1 scores among different agegroups',
  legend_labels = ('Non-smokers', 'Smokers')
)

Histogram

plotify.histogram(
  x_list = [nonsmokers_x, smokers_x],
  ylabel = 'Number of People',
  xlabel = 'Age',
  title = 'Numbeer of datapoints in different agegroups',
  labels = ('Non-smokers', 'Smokers')
)