Generate table with matrix of all features of all cortex analyzers

analyzers_features_matrix.py

import json
from glob import glob
import pandas as pd

list_json = glob('**/*.json')

all = []

for jj in list_json:
	command = jj.split("/")[-2]
	dict_json = json.loads("".join(open(jj, 'r').readlines()))
	for x in dict_json['dataTypeList']:
		if (command, x, 1) not in all:
			all.append((command, x, 1))

df = pd.DataFrame(all, columns=['analyzer', 'type', 'ok'])
pd.pivot_table(df, values='ok', index='analyzer', columns=['type']).replace(1.0, 'X').to_csv('/tmp/features.csv')