Comments (3)
Thank you for the reply.
works just like you've shown. :)
i will wait until this month end for mplfinance then would raise an issue. if the promised matplotlib method of plotting downst help :)
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Hello @strikar21,
Volume Profile
Volume Profile is rather tricky, not just for plotting but also where to start the calculation and how many observations aka width: int = 10
(default) to use. So you can not just pass it to mpf.make_addplot(stck.VP,color='y',type = 'line', panel = 1)
. There is some post processing required.
Volume Profile and Matplotlib Finance Charting
Currently Matplotlib Finance does not have Volume Profile Charting, though it is a proposed feature request mplfinance Issue #162. If you want Matplotlib Finance to support Pandas TA Volume Profile, please let them know by adding onto Issue #162.
Volume Profile, Post Processing and Matplotlib Charting
Here is the code I use to visually verify Volume Profile with Matplotlib.
vpdf = df.tail(30) # Take the last 30 Daily Bars
vp = vpdf.ta.vp() # Run Volume Profile
print("Returns unsorted close\n", vp, "\n") # Visual Table Check
# Set the index to mean_close and in ascending order
vp['mean_close'] = round(vp['mean_close'], 2)
vp.set_index('mean_close', inplace=True)
vp.sort_index(ascending=True, inplace=True)
print("Sorted by mean_close\n", vp, "\n") # Visual Table Check
# Take the last three columns and plot them with horizontal bars
vp[vp.columns[-3:]].plot(
kind='barh',
figsize=(5, 8),
title="SPY VP (Recent 30 Days)",
color=['green', 'red', 'silver'],
alpha=0.45,
stacked=True,
)
Visual Table Check
Volume Profile Chart
Thoughts? Suggestions? Solutions? Anything to make this better?
Don't forget to ⭐ if you find the library useful.
Hope this helps!
KJ
from pandas-ta.
Is there an easier way to plot this with Matplotlib yet?
from pandas-ta.
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