text: 
  import csv
  import pandas as pd
  import numpy as np
  
  currencies = ["ETH", "BNB", "BTC", "LTC", "NEO"]
  
  with open("data/" + currencies[0] + ".csv") as csv_file:
      csv_reader = csv.reader(csv_file, delimiter=",")
      df = pd.DataFrame(list(csv_reader)[2:])
      df.columns = ["unix", "date", "symbol", "open", "high", "low", "close", "Volume", "Volume USDT", "tradecount"]
      df.dropna()
      df = df[df.tradecount != 'NULL']
      df.drop(["unix", "symbol"], 1, inplace = True)
  
      df['high'] = df['high'].map(lambda x: float(x))
      df['low'] = df['low'].map(lambda x: float(x))
      df['open'] = df['open'].map(lambda x: float(x))
      df['close'] = df['close'].map(lambda x: float(x))
      df['Volume'] = df['Volume'].map(lambda x: float(x))
      df['Volume USDT'] = df['Volume USDT'].map(lambda x: float(x))
      df['tradecount'] = df['tradecount'].map(lambda x: float(x))
  
  
      print(df)
      