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https://github.com/andrewkdinh/fund-indicators.git
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67 lines
1.4 KiB
Python
67 lines
1.4 KiB
Python
# Python file for general functions
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def getNearest(items, pivot):
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return min(items, key=lambda x: abs(x - pivot))
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def stringToDate(date):
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from datetime import datetime
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#datetime_object = datetime.strptime('Jun 1 2005 1:33PM', '%b %d %Y %I:%M%p')
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datetime_object = datetime.strptime(date, '%Y-%m-%d').date()
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return(datetime_object)
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def removeExtraDatesAndCloseValues(list1, list2):
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# Returns the two lists but with the extra dates and corresponding close values removed
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# list = [[dates], [close values]]
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newList1 = [[], []]
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newList2 = [[], []]
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for i in range(0, len(list1[0]), 1):
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for j in range(0, len(list2[0]), 1):
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if list1[0][i] == list2[0][j]:
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newList1[0].append(list1[0][i])
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newList2[0].append(list1[0][i])
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newList1[1].append(list1[1][i])
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newList2[1].append(list2[1][j])
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break
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returnList = []
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returnList.append(newList1)
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returnList.append(newList2)
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return returnList
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def stringIsInt(s):
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try:
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int(s)
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return True
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except ValueError:
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return False
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def strintIsFloat(s):
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try:
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float(s)
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return True
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except ValueError:
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return False
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def fromCache(r):
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import requests_cache
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if r.from_cache == True:
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print('(Response taken from cache)')
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return
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def main():
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exit()
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if __name__ == "__main__":
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main()
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