I have the following Dataframe: Dataframe
I want to plot it into a bar chart. With 3 bars, 1 for Positive, 1 for Neutral and 1 for Negative. Im trying this:
fig = px.bar(senti_df, x=senti_df.index, y=['Positive', 'Neutral', 'Negative'])
fig.show()
But all I get as a result is this: Output
How can I plot them side by side? And is there a possibility to plot it into a pie chart? Thank you so much for your help, I'm a beginner :(
I'd like to use raw-like data, therefore, we have some transformation via melt()
df = pd.DataFrame({'Positive':[17], 'Neutral':[26], 'Negative':[7], 'Währung':['Bitcoin(BTC)']})
df2 = df.melt(value_vars=['Positive','Neutral','Negative'], id_vars=['Währung'], var_name='connotation')
print(df2)
Währung connotation value
0 Bitcoin(BTC) Positive 17
1 Bitcoin(BTC) Neutral 26
2 Bitcoin(BTC) Negative 7
Plot bar chart
fig_bar = px.bar(df2, x='Währung', y='value', color='connotation', barmode='group')
fig_bar.show()
Plot pie chart
fig_pie = px.pie(df2, values='value', names='connotation')
fig_pie.show()
You can do this by adding the parameter barmode='group':
fig = px.bar(senti_df, x='Währung', y=['Positive', 'Neutral', 'Negative'], barmode='group')
Output:
barmode (str (default 'relative')) – One of 'group', 'overlay' or 'relative' In 'relative' mode, bars are stacked above zero for positive values and below zero for negative values. In 'overlay' mode, bars are drawn on top of one another. In 'group' mode, bars are placed beside each other.
