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2024.03.19

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2024-03-19 19:58:41 -04:00
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doc/midistats.1
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@@ -182,7 +182,26 @@ multiple number of options.
If you run midistats with the -CSV option, it will return the If you run midistats with the -CSV option, it will return the
results in a form of comma separated values that can be loaded results in a form of comma separated values that can be loaded
into a Python panda dataframe. Each line refers to one of the into a Python panda dataframe. Each line refers to one of the
16 midi channels. 16 midi channels. The following Python 3 code illustrates
how you would load the midistats output into a dataframe.
.br
import pandas as pd
.br
import io
.br
import subprocess
.br
cmd = ("midistats", "-CSV" , inputmidifilepath)
.br
process = subprocess.Popen(cmd, stdout=subprocess.PIPE)
.br
csv = io.StringIO(process.stdout.read().decode())
.br
df = pd.read_csv(csv)
where inputmidifilepath is the path to the midi file that
you are using. (eg. 'clean_midi/Zero/Chi sei.mid')
.PP .PP
The MIDI file devotes channel 9 to the percussion instruments The MIDI file devotes channel 9 to the percussion instruments