Generate random Colors in Bar chart with Plotly Python
I am using Plotly for Python to generate some stacked bar charts. Since I have 17 objects which are getting stacked, the colour of the bars has started repeating as seen in the image below.
Can someone tell me how to get unique colours for each stack?
Please find my code to generate the bar chart below:
import plotly
plotly.tools.set_credentials_file(username='xxxxxxxx',
api_key='********')
dd =
import plotly.plotly as py
import plotly.graph_objs as go
import numpy as np
for k,v in new_dict.items():
trace = go.Bar(x = x['unique_days'],
y = v,
name = k,
text=v,
textposition = 'auto',
)
dd.append(trace)
layout= go.Layout(
title= 'Daily Cumulative Spend per campaign',
hovermode= 'closest',
autosize= True,
width =5000,
barmode='stack',
xaxis= dict(
title= 'Date',
zeroline= False,
gridwidth= 0,
showticklabels=True,
tickangle=-45,
nticks = 60,
ticklen = 5
),
yaxis=dict(
title= 'Cumulative Spend($)',
ticklen= 5,
gridwidth= 2,
),
showlegend= True
)
fig = dict(data=dd, layout = layout)
py.iplot(fig)
python python-3.x plotly
asked Nov 22 at 18:58
Sumedha Nagpal
226
add a comment |
I am using Plotly for Python to generate some stacked bar charts. Since I have 17 objects which are getting stacked, the colour of the bars has started repeating as seen in the image below.
Can someone tell me how to get unique colours for each stack?
Please find my code to generate the bar chart below:
import plotly
plotly.tools.set_credentials_file(username='xxxxxxxx',
api_key='********')
dd =
import plotly.plotly as py
import plotly.graph_objs as go
import numpy as np
for k,v in new_dict.items():
trace = go.Bar(x = x['unique_days'],
y = v,
name = k,
text=v,
textposition = 'auto',
)
dd.append(trace)
layout= go.Layout(
title= 'Daily Cumulative Spend per campaign',
hovermode= 'closest',
autosize= True,
width =5000,
barmode='stack',
xaxis= dict(
title= 'Date',
zeroline= False,
gridwidth= 0,
showticklabels=True,
tickangle=-45,
nticks = 60,
ticklen = 5
),
yaxis=dict(
title= 'Cumulative Spend($)',
ticklen= 5,
gridwidth= 2,
),
showlegend= True
)
fig = dict(data=dd, layout = layout)
py.iplot(fig)
python python-3.x plotly
asked Nov 22 at 18:58
Sumedha Nagpal
226
add a comment |
I am using Plotly for Python to generate some stacked bar charts. Since I have 17 objects which are getting stacked, the colour of the bars has started repeating as seen in the image below.
Can someone tell me how to get unique colours for each stack?
Please find my code to generate the bar chart below:
import plotly
plotly.tools.set_credentials_file(username='xxxxxxxx',
api_key='********')
dd =
import plotly.plotly as py
import plotly.graph_objs as go
import numpy as np
for k,v in new_dict.items():
trace = go.Bar(x = x['unique_days'],
y = v,
name = k,
text=v,
textposition = 'auto',
)
dd.append(trace)
layout= go.Layout(
title= 'Daily Cumulative Spend per campaign',
hovermode= 'closest',
autosize= True,
width =5000,
barmode='stack',
xaxis= dict(
title= 'Date',
zeroline= False,
gridwidth= 0,
showticklabels=True,
tickangle=-45,
nticks = 60,
ticklen = 5
),
yaxis=dict(
title= 'Cumulative Spend($)',
ticklen= 5,
gridwidth= 2,
),
showlegend= True
)
fig = dict(data=dd, layout = layout)
py.iplot(fig)
python python-3.x plotly
asked Nov 22 at 18:58
Sumedha Nagpal
226
I am using Plotly for Python to generate some stacked bar charts. Since I have 17 objects which are getting stacked, the colour of the bars has started repeating as seen in the image below.
Can someone tell me how to get unique colours for each stack?
Please find my code to generate the bar chart below:
import plotly
plotly.tools.set_credentials_file(username='xxxxxxxx',
api_key='********')
dd =
import plotly.plotly as py
import plotly.graph_objs as go
import numpy as np
for k,v in new_dict.items():
trace = go.Bar(x = x['unique_days'],
y = v,
name = k,
text=v,
textposition = 'auto',
)
dd.append(trace)
layout= go.Layout(
title= 'Daily Cumulative Spend per campaign',
hovermode= 'closest',
autosize= True,
width =5000,
barmode='stack',
xaxis= dict(
title= 'Date',
zeroline= False,
gridwidth= 0,
showticklabels=True,
tickangle=-45,
nticks = 60,
ticklen = 5
),
yaxis=dict(
title= 'Cumulative Spend($)',
ticklen= 5,
gridwidth= 2,
),
showlegend= True
)
fig = dict(data=dd, layout = layout)
py.iplot(fig)
python python-3.x plotly
python python-3.x plotly
asked Nov 22 at 18:58
Sumedha Nagpal
226
asked Nov 22 at 18:58
Sumedha Nagpal
226
asked Nov 22 at 18:58
Sumedha Nagpal
226
asked Nov 22 at 18:58
Sumedha Nagpal
226
asked Nov 22 at 18:58
Sumedha Nagpal
226
226
add a comment |
add a comment |
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