try:
print("hogehoge")
except Exception as e:
print(e)
# coding: utf-8
import os
import shutil
ROOT = "/path/to/your/data_folder"
files = os.listdir(ROOT)
for file in files:
try:
if "." not in file:
# サブフォルダの中身にファイルが2つ以上無いなら削除
second_files = os.listdir(ROOT + "/" + file)
if len(second_files) <= 1:
shutil.rmtree(ROOT + "/" + file)
# 2つ以上ある場合は親フォルダに移動
else:
for second_file in second_files:
os.rename(ROOT + "/" + file + "/" + second_file, ROOT + "/" + second_file)
os.rmdir(ROOT + "/" + file)
except Exception as e:
print(e)
print(file)
import os
import glob
for file inglob.glob("hoge.*"):
os.remove(file)
# coding: utf-8
import os
from collections import Counter
ROOT = "/path/to/your/data_folder"
files = os.listdir(ROOT)
people = []
for file in files:
people.append(file[:-9])
people_counter = Counter(people)
people = list(set(people))
os.mkdir(ROOT + "/train")
os.mkdir(ROOT + "/test")
for person, cnt in people_counter.most_common():
# 半分のデータをtrainに、残りをtestに回す
moved_count = 0
for file in files:
if file[:-9] == person:
# 最初の半分はtrainに移動
if moved_count < cnt / 2:
os.rename(ROOT + "/" + file, ROOT + "/train/" + file)
else:
os.rename(ROOT + "/" + file, ROOT + "/test/" + file)
moved_count += 1
#coding: utf-8
import re
RAW_FILE = "raw_text.txt"
OUT_FILE = "urls.csv"
def main():
r = re.compile("\"url\":\"(.+)\",")
urls = []
with open(RAW_FILE, "r") as fi:
for i, line in enumerate(fi):
matched = r.search(line.rstrip())
if matched:
urls.append(matched.group(1))
urls = list(set(urls))
# print(urls)
print(len(urls))
with open(OUT_FILE, "w") as fo:
fo.write("\n".join(urls))
if __name__ == '__main__':
main()
a = [1,2,3,4,5]
a_str = map(str,a)
import argparse
parser = argparse.ArgumentParser(description="他クラスロジスティック回帰")
parser.add_argument("-train", default="train.csv", help="data for train")
parser.add_argument("-test", default="test.csv", help="data for test")
parser.add_argument("-result", default="", help="result output for kaggle")
parser.add_argument("-class_label", default="label", help="識別クラスのカラム名")
parser.add_argument("-id_label", default="id", help="idのカラム名(結果ファイル出力に使用)")
parser.add_argument("-learning_rate", default=0.1, help="学習率")
parser.add_argument("-l2_lambda", default=0.001, help="正則化項の係数")
parser.add_argument("-weights_json_input", default=None, help="重みを記録したファイル(読み込み)")
parser.add_argument("-weights_json_output", default="weights.json", help="重みを記録したファイル(書き出し)")
args = parser.parse_args()