I would like to make a word frequency distribution, with the words on the x-axis and the frequency count on the y-axis.
I have the following list:
example_list = [('dhr', 17838), ('mw', 13675), ('wel', 5499), ('goed', 5080),
('contact', 4506), ('medicatie', 3797), ('uur', 3792),
('gaan', 3473), ('kwam', 3463), ('kamer', 3447),
('mee', 3278), ('gesprek', 2978)]
I tried to first convert it into a pandas DataFrame and then use the pd.hist() as in the example below, but I just can't figure it out and think it is actually straight forward but probably I'm missing something.
import numpy as np
import matplotlib.pyplot as plt
word = []
frequency = []
for i in range(len(example_list)):
word.append(example_list[i][0])
frequency.append(example_list[i][1])
plt.bar(word, frequency, color='r')
plt.show()