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November 6, 2016 03:06
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import numpy as np | |
file_paths = glob('/b/*.csv') # /b/*.csv ファイル | |
for offset in [1, 11]: | |
col3_avgs = [] | |
col2_avgs = [] | |
for i in range(10): | |
file_path = '/b/a{}.csv'.format(offset+i) | |
data = np.load.text(file_path, comments='#', delimiter=',', skiprows=1) | |
avg_col3 = np.mean(data[:, 2]) | |
avg_col2 = np.mean(data[500001:750001, 1]) | |
print('Average of col #3 in {} is {}'.format(file_path, avg_col3)) | |
print('Average of col #2, row (500001, 750001) in {} is {}'.format(file_path, avg_col2)) | |
col3_avgs.append(avg_col3) | |
col2_avgs.append(avg_col2) | |
col3_avg_avg = np.mean(np.array(col3_avgs)) | |
col2_avg_avg = np.mean(np.array(col2_avgs)) | |
print('Col3 average over files a{}~ is {}'.format(offset, col3_avg_avg)) | |
print('Col2 average over files a{}~ is {}'.format(offset, col2_avg_avg)) |
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