Error: TypeError: unhashable type: 'list'

[csantanaes]

Can i help?

import nltk
a = nltk.FreqDist(HT_regular)
d = pd.DataFrame({'Hashtag': list(a.keys()),
'Count': list(a.values())})

selecting top 20 most frequent hashtags

d = d.nlargest(columns="Count", n = 20)
plt.figure(figsize=(16,5))
ax = sns.barplot(data=d, x= "Hashtag", y = "Count")
ax.set(ylabel = 'Count')
plt.show()

---

TypeError Traceback (most recent call last)
in ()
1 import nltk
----> 2 a = nltk.FreqDist(HT_regular)
3 d = pd.DataFrame({'Hashtag': list(a.keys()),
4 'Count': list(a.values())})
5

3 frames
/usr/lib/python3.7/collections/init.py in update(*args, **kwds)
653 super(Counter, self).update(iterable) # fast path when counter is empty
654 else:
--> 655 _count_elements(self, iterable)
656 if kwds:
657 self.update(kwds)

TypeError: unhashable type: 'list'

[Naztanzila]

you can try this for unhashable type : 'list'

import nltk

Convert the list into a tuple

HT_regular_tuples = [tuple(tag) for tag in HT_regular]

Create a frequency distribution

a = nltk.FreqDist(HT_regular_tuples)

Create a DataFrame from the frequency distribution

d = pd.DataFrame({'Hashtag': list(a.keys()), 'Count': list(a.values())})