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amankharwal/US Elections Secret

Created October 1, 2020 14:53
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US Elections
count_1 = df_subset_trump.groupby('Expression Label').count()
print(count_1)
negative_per1 = (count_1['Sentiment Polarity'][0]/1000)*10
positive_per1 = (count_1['Sentiment Polarity'][1]/1000)*100
count_2 = df_subset_biden.groupby('Expression Label').count()
print(count_2)
negative_per2 = (count_2['Sentiment Polarity'][0]/1000)*100
positive_per2 = (count_2['Sentiment Polarity'][1]/1000)*100
Politicians = ['Joe Biden', 'Donald Trump']
lis_pos = [positive_per1, positive_per2]
lis_neg = [negative_per1, negative_per2]
fig = go.Figure(data=[
go.Bar(name='Positive', x=Politicians, y=lis_pos),
go.Bar(name='Negative', x=Politicians, y=lis_neg)
])
# Change the bar mode
fig.update_layout(barmode='group')
fig.show()
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