In [1]:

    

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn

import minst.model
import minst.taxonomy

%matplotlib inline
seaborn.set()


    

In [2]:

    

dframe = pd.read_csv("/Users/ejhumphrey/data/minst/master_index.csv", index_col=0)
dframe = minst.taxonomy.normalize_instrument_names(dframe)
dframe.sample(5)


    

    
Out[2]:






  

    

      

      
audio_file
      
dataset
      
duration
      
dynamic
      
instrument
      
note_number
      
partition
      
source_index
      
start_time
    
  
  

    

      
092CGAFMd06f21
      
092CGAFM_13.flac
      
rwc
      
4.816327
      
M
      
guitar
      
NaN
      
NaN
      
rwcf6a6e74f
      
71.137642
    
    

      
181CBPCFd2017b
      
181CBPCF_16.flac
      
rwc
      
5.469388
      
F
      
double-bass
      
NaN
      
NaN
      
rwc83f26c00
      
80.443311
    
    

      
173VCNVM93f0dc
      
173VCNVM_45.flac
      
rwc
      
3.950113
      
M
      
cello
      
NaN
      
NaN
      
rwc0a193b22
      
190.457143
    
    

      
221TBC1P57114c
      
221TBC1P_19.flac
      
rwc
      
3.519274
      
P
      
trombone
      
NaN
      
NaN
      
rwc81799527
      
67.568254
    
    

      
211TRW3P0a1368
      
211TRW3P_0.flac
      
rwc
      
3.600907
      
P
      
trumpet
      
NaN
      
NaN
      
rwcae809d4c
      
0.048980
    
  

In [9]:

    

uiowa = dframe[dframe.dataset == 'uiowa']
rwc = dframe[dframe.dataset == 'rwc']
philz = dframe[dframe.dataset == 'philharmonia']


    

In [12]:

    

fig, ax = plt.subplots(figsize=(14, 4))
instruments = sorted(dframe.instrument.unique())

x_axis = np.arange(len(instruments))
datasets = sorted(dframe.dataset.unique())
width = 1. / (len(datasets) + 1)
colors = seaborn.color_palette()
for n, (dset, c) in enumerate(zip(datasets, colors)):
    dset_df = dframe[dframe.dataset == dset]
    print(dset, len(dset_df))
    counts = dset_df.groupby(["instrument"])
    ax.bar(x_axis + n * width, counts.instrument.count().values, 
           width=width, label=dset, fc=c)

ax.set_xticks(x_axis + 0.4)
ax.set_xticklabels(instruments, rotation=20);
ax.set_xlabel("Instrument Class")
ax.set_ylabel("Counts")
ax.set_title("Note Observation Counts")
plt.legend(loc='best')


    

    




('philharmonia', 7923)
('rwc', 27557)
('uiowa', 3417)






    
Out[12]:





<matplotlib.legend.Legend at 0x119328c10>






    

In [21]:

    




    

In [ ]:

    




    

In [ ]: