# -*- coding: utf-8 -*-
"""
Created on Sat Mar  7 10:41:51 2020

@author: Johan Rene van Dorp
"""

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

df = pd.read_csv('SoftwareFailure.csv')
FailTimes = df["FailureTimes"]

# Plotting Boxplot with two panels

plt.rc('font', family='serif', size='10')
plt.figure(figsize=(10, 5))
BoxPlot_Figure = plt.figure()
BoxPlot_Figure.set_figwidth(9)
BoxPlot_Figure.set_figheight(4.5)
BoxPlot_Figure.subplots_adjust(hspace=0.4, wspace=0.4)


# Plotting the left panel box plot

Left_Panel = BoxPlot_Figure.add_subplot(1,1,1)
box_LP=plt.boxplot(FailTimes,notch='True',patch_artist=True)
plt.ylabel('Data',size='12')

# changing the fill color of the box plot
colors = ['LightSalmon']
for patch, color in zip(box_LP['boxes'], colors):
    patch.set_facecolor(color)
    
# changing color and linewidth of # medians
for median in box_LP['medians']:
    median.set(color ='red', linewidth = 2)

# Adding Jitter to the Boxplot
y = FailTimes
jitter = np.random.normal(0.75, 0.04, size=len(y))    
plt.scatter(jitter, y, alpha=0.4, color='gray',s=5)

# Setting the x-axis labels
Left_Panel.set_xticklabels(['Interfailure Times'],size='12')

BoxPlot_Figure.suptitle('Boxplot of Succesive Software Interfailure Times',size='14')
plt.savefig('SofwareFailure_Box.png', dpi=300)