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leotac avatar leotac commented on August 19, 2024

Yes it's possible, there's an option to do that.
Say you have a dataframe with columns ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"] and rows with aggregated counts for each hour of the day.
Then you can plot using the argument kind="values".
Be aware that with that option you currently need to manually handle some stuff about the x axis (xticks and xrange), as follows:

import pandas as pd
import numpy as np
import joypy

#Generate random data
df = pd.DataFrame(np.random.poisson(10,(24,7)))
df.columns = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
Monday Tuesday Wednesday Thursday Friday Saturday Sunday
0 12 8 8 3 9 6 8
1 8 5 15 7 9 11 6
2 15 11 15 3 6 9 9
3 8 7 13 9 13 7 10
4 12 14 6 4 11 11 12
...
#Plot
x_range = list(range(24))
fig, axes = joypy.joyplot(df, kind="values", x_range=x_range)
axes[-1].set_xticks(x_range)
axes[-1].set_xticklabels(x_range)
fig

figure_1-1

Note that, with the "values" option, if you want a smooth plot, you need to smooth the data yourself.

from joypy.

Krp42 avatar Krp42 commented on August 19, 2024

from joypy.

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