Skip to content

Instantly share code, notes, and snippets.

@amankharwal

amankharwal/covid-19_sentiment.py Secret

Created January 11, 2021 06:30
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save amankharwal/1aac13d576a40bbced36d76e04634446 to your computer and use it in GitHub Desktop.
Save amankharwal/1aac13d576a40bbced36d76e04634446 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
covid-19_sentiment.py
plt.subplot(2,1,1)
plt.title('Distriubtion Of Sentiments Across Our Tweets',fontsize=19,fontweight='bold')
sns.kdeplot(f_data['Negative Sentiment'],bw=0.1)
sns.kdeplot(f_data['Positive Sentiment'],bw=0.1)
sns.kdeplot(f_data['Neutral Sentiment'],bw=0.1)
plt.xlabel('Sentiment Value',fontsize=19)
plt.subplot(2,1,2)
plt.title('CDF Of Sentiments Across Our Tweets',fontsize=19,fontweight='bold')
sns.kdeplot(f_data['Negative Sentiment'],bw=0.1,cumulative=True)
sns.kdeplot(f_data['Positive Sentiment'],bw=0.1,cumulative=True)
sns.kdeplot(f_data['Neutral Sentiment'],bw=0.1,cumulative=True)
plt.xlabel('Sentiment Value',fontsize=19)
plt.show()
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment