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In [15]:

    
import numpy as mp
import pandas as pd
from bokeh.charts import TimeSeries, output_file, show



In [7]:

    
df = pd.read_csv('result_0_1.txt', header=None, names=['Temperature', 'Cost'])
df.head()









    Out[7]:






  
    
      
      Temperature
      Cost
    
  
  
    
      0
      100
      123.299
    
    
      1
      100
      123.394
    
    
      2
      100
      127.153
    
    
      3
      100
      128.125
    
    
      4
      100
      128.407



In [19]:

    
output_file("report.html")

data = dict(Temp = df['Temperature'], Cost=df['Cost'])

# create a new plot (with a title) using figure
p = figure(plot_width=800, plot_height=400, title="SA Progression")

# add a line renderer
p.line(df['Temperature'][::-1], df['Cost'], line_width=2)

show(p) # show the results



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