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...
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)
2 Answers
It was the issue which I have been facing in this week and I solved with Matplotlib module. Here is my code:
import matplotlib, random
hex_colors_dic = {}
rgb_colors_dic = {}
hex_colors_only = []
for name, hex in matplotlib.colors.cnames.items():
hex_colors_only.append(hex)
hex_colors_dic[name] = hex
rgb_colors_dic[name] = matplotlib.colors.to_rgb(hex)
print(hex_colors_only)
# getting random color from list of hex colors
print(random.choice(hex_colors_only))
There are 148 colors in the list and you can integrate this list with your wish. Hopefully it is useful for someone :)
the same as above, short version:
import matplotlib, random
colors = dict(matplotlib.colors.cnames.items())
hex_colors = tuple(colors.values())
print(hex_colors)
#getting a random color from the dict
print(random.choice(hex_colors))
Robert Thorne covers electric vehicle innovations, autonomous driving systems, global mobility trends, and automotive engineering developments.
