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boxplot_distancwords.py

+import numpy as np
+import pandas as pd
+from os import path
+from PIL import Image
+import wordcloud
+import matplotlib.pyplot as plt
+import string
+import datetime
+from nltk.corpus import stopwords
+import glob
+from os.path import basename
+import matplotlib.pyplot as plt
+
+def gen_boxplot(input_f,outname):
+    df = pd.read_csv(input_f, sep=';')
+    vals = df.iloc[:,1]
+
+    # Create a figure instance
+    fig = plt.figure(1, figsize=(9, 6))
+
+    # Create an axes instance
+    ax = fig.add_subplot(111)
+
+    # Create the boxplot
+    bp = ax.boxplot(vals)
+
+    # Save the figure
+    fig.savefig(outname, bbox_inches='tight')
+    fig.clear()
+
+files=glob.glob('./distance_words_*.csv')
+
+for f in files:
+    print(f)
+    gen_boxplot(f,basename(f).split('.')[0]+'.png')