cleaning up repo

README.txt

@@ -13,11 +13,9 @@ Python subdirectory: Contains the files used for our final Python analysis
 	-topvariables.py: Computes the least unique variable names.
 	-topvariables_intersection.py: Checks which variable files have the largest mean number of common variables with other files.
 
-histogram.py: Used to construct the histograms for the report.
-
 index.py: Creates the index file of tuples for the MapReduce jobs. Methodology detailed in the report.
 
-plot_graph.py: Used to create the distance plot in the report.
+plot_graph.py: Used to create the distance plot and histograms for the report.
 
 runsim.sh: Used to send specific files for subset testing when there are other files in the directory so sending the entire directory is inefficient.
 

histograms.py

-import matplotlib.pyplot as plt
-import numpy as np
-import plotly.plotly as py  # tools to communicate with Plotly's server
-import plotly
-plotly.tools.set_credentials_file(username='ravibakhai', api_key='IBBKlxSe6zkg0osw8RFz')
-'''
-Takes a list of integers and outputs a histogram
-'''
-
-numpy_hist = plt.figure()
-
-plt.hist([1, 2, 1], bins=[0, 1, 2, 3])
-
-plot_url = py.plot_mpl(numpy_hist, filename='numpy-bins')
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