Hi
I have plotted a time series bar plot with two labels in “y” axis using plotly express. The “color” label is based on a third category. Here is a snapshot of simplified code and output:
import pandas as pd
import datetime
import plotly.express as px
df = pd.DataFrame(dict({
'beginTime': [
datetime.datetime.strptime('1/1/2008 1:00:15', '%m/%d/%Y %H:%M:%S'),
datetime.datetime.strptime('1/1/2008 1:15:15', '%m/%d/%Y %H:%M:%S'),
datetime.datetime.strptime('1/1/2008 2:00:15', '%m/%d/%Y %H:%M:%S'),
datetime.datetime.strptime('1/1/2008 1:00:15', '%m/%d/%Y %H:%M:%S'),
datetime.datetime.strptime('1/1/2008 1:02:15', '%m/%d/%Y %H:%M:%S'),
datetime.datetime.strptime('1/1/2008 1:20:15', '%m/%d/%Y %H:%M:%S'),
],
'endTime': [
datetime.datetime.strptime('1/1/2008 1:10:15', '%m/%d/%Y %H:%M:%S'),
datetime.datetime.strptime('1/1/2008 1:35:15', '%m/%d/%Y %H:%M:%S'),
datetime.datetime.strptime('1/1/2008 2:07:15', '%m/%d/%Y %H:%M:%S'),
datetime.datetime.strptime('1/1/2008 1:8:15', '%m/%d/%Y %H:%M:%S'),
datetime.datetime.strptime('1/1/2008 1:12:15', '%m/%d/%Y %H:%M:%S'),
datetime.datetime.strptime('1/1/2008 1:59:15', '%m/%d/%Y %H:%M:%S'),
],
'type': ['1', '1', '1', '2', '2', '2'],
'activity': ['competition1', 'competition1', 'competition1', 'competition2', 'competition2', 'competition2'],
'label': ['eat', 'sleep', 'write', 'write', 'code', 'sleep']
}
))
fig = px.timeline(df, x_start="beginTime", x_end="endTime", y="type", color='label')
fig.show()
My question is,
- how can I apply two seperate sets of colors for each of the labels in “y” axis (so the colors do not overlap)?
- or how can two sets of “color” map applied into one timeline plot?