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59 lines
2.0 KiB
59 lines
2.0 KiB
import os
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import sys
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import json
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import pandas as pd
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import time
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from tqdm import tqdm
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class CountInvalidData(object):
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def __init__(self, end_date="20140101"):
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const_path = sys.path[0].replace("\\clean_data", "")
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f = open(const_path + "\\const.json", "r", encoding="utf8")
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self.consts = json.loads(f.read())
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self.end_date = end_date
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self.day_line_file_prefix = self.consts["day_line_file_prefix"]["netease"]
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self.COUNT_INVALID_DATA = 0
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self.COUNT_INVALID_CODE = 0
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def handle_one(self, code):
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try:
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df = pd.read_csv("%s%s.csv" % (self.day_line_file_prefix, code), encoding="gbk", error_bad_lines=False)
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except:
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print("ERROR While Opening Code %s" % code )
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return
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all_right = True
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for index,row in df.iterrows():
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if row['日期'] < self.end_date: break
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flag = True # 标记是否有效
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# 遍历行中的每一项
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for i,val in row.items():
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if val == "None" or val == "NaN" or (val == 0 and (i[:2] != '涨跌')):
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flag = False
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all_right = False
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self.COUNT_INVALID_DATA += 1
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break
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if not all_right:
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self.COUNT_INVALID_CODE += 1
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def handle_all(self):
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time_start = time.time()
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file_list = os.listdir(self.day_line_file_prefix)
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file_count = len(file_list)
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for i in tqdm(range(file_count)):
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file = file_list[i]
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code = file[0:6]
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self.handle_one(code)
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# time.sleep(1)
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print("无效的数据数量：", self.COUNT_INVALID_DATA)
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print("有无效数据的股票数量：", self.COUNT_INVALID_CODE)
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time_end = time.time()
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time_c= time_end - time_start #运行所花时间
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print('time cost:', time_c, 's')
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if __name__ == "__main__":
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cid = CountInvalidData()
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cid.handle_all() |