CODEWITHSUNDEEP
pythonpandasbar-chartplotly-python
David 54321
David 54321

Reputation: 728

Make Stack Bar Chart Plotly Different Colors

So I'm creating a plotly bar chart that is stacked. Each of my stacks are returning the same color. I'd like them to have different colors. I'd prefer not to use plotly express in this situation. I also don't want to specify the color. I just want a vareity of colors. Here's my code:

  df2 = pd.DataFrame.from_dict({'Country': {0: 'Europe',
  1: 'America',
  2: 'Asia',
  3: 'Europe',
  4: 'America',
  5: 'Asia',
  6: 'Europe',
  7: 'America',
  8: 'Asia',
  9: 'Europe',
  10: 'America',
  11: 'Asia'},
 'Year': {0: 2014,
  1: 2014,
  2: 2014,
  3: 2015,
  4: 2015,
  5: 2015,
  6: 2016,
  7: 2016,
  8: 2016,
  9: 2017,
  10: 2017,
  11: 2017},
 'Amount': {0: 1600,
  1: 410,
  2: 150,
  3: 1300,
  4: 300,
  5: 170,
  6: 1000,
  7: 500,
  8: 200,
  9: 900,
  10: 500,
  11: 210}})

fig = go.Figure()
fig.add_trace(go.Bar(x=df2['Year'], y=df['Amount'], 
                        ))
fig.update_layout(title="Personnel at Work",
                 barmode='stack')
fig.show()

enter image description here

Upvotes: 0

Views: 848

Answers (1)

r-beginners
r-beginners

Reputation: 35135

To create a stacked graph with a graph object, you can specify the graph as the stacking unit.

import pandas as pd
import plotly.graph_objects as go

fig = go.Figure()

x = [str(x) for x in df2['Year'].unique().tolist()]

for c in df2['Country'].unique():
    df3 = df2.query('Country == @c')
    fig.add_trace(go.Bar(x=x, y=df3['Amount'], name=c))
fig.update_layout(title="Personnel at Work", barmode='stack')
fig.show()

enter image description here

Upvotes: 1

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