Add python script to plot frequency profile

plot_freq_profile.py

@@ -0,0 +1,35 @@
+import matplotlib
+import matplotlib.pyplot as plt
+import sys
+import operator
+import argparse
+import pandas as pd
+import numpy as np
+
+filename = "ml.vocabfreq.tsv"
+data=pd.read_csv(filename,sep='\t')
+data.columns=['word', 'frequency']
+data.head()
+data['rank'] = np.arange(len(data))+1
+data.head()
+
+
+fig1, ax1 = plt.subplots(figsize=(40,20))
+ax1.set_title("Frequency Profile of IndicNLP Corpus ",  fontsize=80)
+ax1.set_ylabel("Token Frequency", fontsize=70)
+ax1.set_xlabel("Rank in the frequency list", fontsize=70)
+goldrank=data['rank'][0:999]
+goldfreq=data['frequency'][0:999]
+
+ax1.loglog(data['rank'], data['frequency'],color='#00629B', linewidth=7.0,label='Token frequency')
+ax1.fill_between(goldrank, goldfreq, color='#D5E8D4', alpha=0.9,label='Coverage of gold standard lexicon' )
+ax1.legend(fontsize=60)
+# ax1.set_yticks([1,3, 10,100,1000,10000])
+# ax1.set_xticks([1, 400000])
+ax1.tick_params(axis='both', labelsize=50)
+# ax1.get_xaxis().set_major_formatter(matplotlib.ticker.ScalarFormatter())
+# ax1.get_yaxis().set_major_formatter(matplotlib.ticker.ScalarFormatter())
+ax1.grid(linewidth=3)
+
+plt.savefig("rank.png")
+# plt.show()