Comments (2)
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
Note that, with the "values" option, if you want a smooth plot, you need to smooth the data yourself.
from joypy.
from joypy.
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from joypy.