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