halme commited on
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9643ee9
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1 Parent(s): 483a089

Update DataLoader.py

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Files changed (1) hide show
  1. DataLoader.py +3 -13
DataLoader.py CHANGED
@@ -2,10 +2,7 @@
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  import pandas as pd
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  import numpy as np
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- import requests
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- import matplotlib.pyplot as plt
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  import yfinance as yf
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- from datetime import datetime
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  from pygooglenews import GoogleNews
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  from transformers import pipeline
@@ -29,12 +26,13 @@ class DataLoader:
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  def get_stock_data(self):
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- data = yf.download(self.ticker, period = self.time_period_stock)
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  df = pd.DataFrame()
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  df['Open'] = data['Open']
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  df['Close'] = data['Close']
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  df['High'] = data['High']
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  df['Low'] = data['Low']
 
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  return df
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@@ -108,12 +106,4 @@ class DataLoader:
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  for column in news_columns:
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  if combined_data[column][i] == 0:
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  combined_data[column][i] = combined_data[column][i-1] * decay_rate
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- return combined_data
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-
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-
 
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  import pandas as pd
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  import numpy as np
 
 
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  import yfinance as yf
 
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  from pygooglenews import GoogleNews
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  from transformers import pipeline
 
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  def get_stock_data(self):
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+ data = yf.download(self.ticker , period = self.time_period_stock)
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  df = pd.DataFrame()
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  df['Open'] = data['Open']
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  df['Close'] = data['Close']
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  df['High'] = data['High']
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  df['Low'] = data['Low']
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+ df['Volume'] = data['Volume']
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  return df
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  for column in news_columns:
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  if combined_data[column][i] == 0:
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  combined_data[column][i] = combined_data[column][i-1] * decay_rate
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+ return combined_data