根据值更改条形图颜色

Question

I have the following data: 8,518,000 27,525,000 20,532,000 12,897,000 (27,858,000) (5,266,000) (18,442,000) (78,850,000) (43,813,000) (26,920,000) (4,501,000) (19,619,000) (12,938,000) The first four years positive and the last 9 years is negative.

For my plotly barchart, I want the color to be black when positive and red when negative. What is the easiest way to color this?

Right now I have everything set to red with marker_color='red' but marker_color[0:3]='black' causes an error.

Answer 1

Your question is a bit unclear but if I understand you correctly, you can make a list of colors for each data point, then pass a dictionary of this colors list to the marker parameter.

import plotly.graph_objects as go

y = [8510000, 27525000, 20532000, 12897000, 
27858000, 5266000, 18442000, 78850000, 43813000, 26920000, 4501000, 19619000, 12938000]
# colors list with first 4 set to 'black', last 9 set to 'red'
colors = ['black']*4 + ['red']*9

data = [dict(type='bar',
    y=y,
    marker=dict(color=colors)
)]

fig = go.Figure(data=data)
fig.show()