FrontPage/Python/Scipy+Numpy

Pandas †

ipython: 表示する行数を設定 †

pd.options.display.max_rows=5

信号データの呼び出し †

https://gist.github.com/peace098beat/76005a2eb8448dea008c

	# In[4]:

	import pandas as pd
	import numpy as np

	# In[39]:

	import os
	import sys

	# In[40]:

	pd.options.display.max_rows=5

	# In[41]:

	# カレントパスの取得
	BASE_DIR = os.path.dirname(sys.argv[0])
	# パスの追加
	sys.path.append('E:\Python\GolfClassification/')

	# In[42]:

	from FiSig.AudioManager import AudioManager

	# In[82]:

	audiofile_path_s = ['./wav/audio1.wav', './wav/audio2.wav', './wav/audio3.wav']
	audiofile_path_s

	# In[84]:

	audiofile_basename_s = [os.path.basename(path) for path in audiofile_path_s]
	audiofile_basename_s

	# In[86]:

	audioname_s = [os.path.splitext(basename)[0] for basename in audiofile_basename_s]
	audioname_s

	# In[87]:

	audio_manager_s = [AudioManager(f) for f in audiofile_path_s]

	# In[88]:

	audio_data_s = [am.getData(mode='norm') for am in audio_manager_s]
	audio_data_s

	# In[89]:

	fs = audio_manager_s[0].getFs()

	# In[90]:

	N = audio_data_s[0].shape[0]
	N

	# ## PandasのDataFrameを使ってみる

	# In[94]:

	table_dict = dict(zip(audioname_s, audio_data_s))
	table_dict

	# In[95]:

	trange = np.linspace(0, N/float(fs), N)
	trange.shape

	# In[96]:

	df = pd.DataFrame(table_dict, trange)
	df

	# In[98]:

	df[[1]]