some python functions and conda related environment
n = 50
(tokens
.iloc[:50]
.plot
.bar(figsize=(14, 4), title=f'Most frequent {n} of {len(tokens):,d} tokens'))
sns.despine()
plt.tight_layout();
train_result.groupby(level='Category').mean().plot.bar(figsize=(14, 5), rot=0);
pd.melt function
w = WordCloud()
# to find the environment where you are running
import sys
print(sys.executable)
# after create a new enivronment
conda install pip
#to launch jupyter in certain conda
conda install jupyter notebook
jupyter notebook