CODEWITHSUNDEEP
pythonpandasbar-chartdata-visualizationbokeh
iNikkz
iNikkz

Reputation: 3829

Specify own colors on each bars respectively in Bokeh

I've a data frame in pandas having x, count and colors columns. 

x   count   colors
1   4      #99d594
1   4      #99d594
2   3      #ffffbf

I want to plot a bar chart having x on x-axis and count on y-axis and colors column define color for x column respectively.

plt = Bar(df, label='count', title="Bar chart", legend='top_left', color="colors")

But Bokeh doesn't uses the given color codes in colors column. It uses their own itself but #99d594 and #ffffbf are different in colors. .

Given in below image. pre-defined colors

Pseudo Code:

df = pd.DataFrame( {"x": [1,1,2],
 "count": [4,4,5],
 "colors": ["#99d594", "#99d594", "#ffffbf"] } )

plt = Bar(df, label='count', title="Bar chart",
          plot_width=700, plot_height=300, legend='top_left', color="colors")

output_file("test.html")

Upvotes: 2

Views: 2923

Answers (1)

alEx
alEx

Reputation: 320

Change for:

palette=[ "#99d594", "#ffffbf"]

plt = Bar(df, label='count', title="Bar chart",
      plot_width=700, plot_height=300, legend='top_left', 
      color=color( columns='colors', palette=palette, sort=False))
output_file("test.html")

Should do what you expect :)

Upvotes: 3

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