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Added Stat Calculation

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Cal.W 2020-06-28 21:44:52 +10:00
parent cb97f13a2b
commit ee0367b495
1 changed files with 58 additions and 3 deletions
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61
bankView.py
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@ -1,7 +1,7 @@
#BankView - Calculate and Build Banking Stats
#Cal.W 2020
import csv
import csv, statistics
from datetime import datetime
TRANSACTION_TYPES = ['Other', "Tap and Pay", "Card", "Deposit"]
@ -30,6 +30,7 @@ def transDetails(transDetails):
return transDetails, transDate, transType, transAcc
#Return a list of transactions in the form:
# 0 1 2 3 4 5 6
#(date(Transaction Date), date(Initialized), float(Amount), str(Details), float(Acc Balance), str(Payment Type), str(Acc))
def importTransactionData(fileName="import.csv", transactions=list(), delimiter=',', newline=''):
rawTransactions = list()
@ -115,7 +116,61 @@ def saveTransactionData(transactions, fileName="transData.csv"):
return
def calculateStats(transactions, yearRangeVal=None, monthRangeVal=None, otherFelid=None):
yearRange = lambda x: True
if isinstance(yearRangeVal, type(yearRange)): yearRange = yearRangeVal
if isinstance(yearRangeVal, list) or isinstance(yearRangeVal, tuple): yearRange = lambda x: x[1].year in yearRangeVal
if isinstance(yearRangeVal, int) or isinstance(yearRangeVal, float): yearRange = lambda x: x[1].year == int(yearRangeVal)
monthRange = lambda x: True
if isinstance(monthRangeVal, type(monthRange)): monthRange = monthRangeVal
if isinstance(monthRangeVal, list) or isinstance(monthRangeVal, tuple): monthRange = lambda x: x[1].month in monthRangeVal
if isinstance(monthRangeVal, int) or isinstance(monthRangeVal, float): monthRange = lambda x: x[1].month == int(monthRangeVal)
if not isinstance(yearRangeVal, type(monthRangeVal)): otherFelid = lambda x: True
periodTransactions = [x for x in transactions if yearRange(x) and monthRange(x) and otherFelid(x)]
print(periodTransactions)
print("*"*70)
periodTransactions = sorted(periodTransactions, reverse = True, key = lambda x: x[1])
print(periodTransactions)
input("$"*70)
stats = {
"credits" : round(sum([abs(x[2]) for x in periodTransactions if x[2] > 0]), 2) if len([abs(x[2]) for x in periodTransactions if x[2] > 0]) > 0 else float(0),
"debits" : round(sum([abs(x[2]) for x in periodTransactions if x[2] < 0]), 2) if len([abs(x[2]) for x in periodTransactions if x[2] < 0]) > 0 else float(0),
"largestCredit" : max(periodTransactions, key=lambda x: x[2]) if len(periodTransactions) > 0 else (datetime.now(), datetime.now(), 0, "", 0, "", ""),
"largestDebit" : min(periodTransactions, key=lambda x: x[2]) if len(periodTransactions) > 0 else (datetime.now(), datetime.now(), 0, "", 0, "", ""),
"averageCredit" : round(statistics.fmean([abs(x[2]) for x in periodTransactions if x[2] > 0]), 2) if len([abs(x[2]) for x in periodTransactions if x[2] > 0]) > 0 else float(0),
"averageDebit" : round(statistics.fmean([abs(x[2]) for x in periodTransactions if x[2] < 0]), 2) if len([abs(x[2]) for x in periodTransactions if x[2] < 0]) > 0 else float(0),
"netBalance" : round(sum([x[4] for x in periodTransactions]), 2) if len(periodTransactions) > 0 else float(0),
"averageBalance" : round(statistics.fmean([x[4] for x in periodTransactions]), 2) if len(periodTransactions) > 0 else float(0),
"highestBalance" : float(max(periodTransactions, key=lambda x: x[4])[4]) if len(periodTransactions) > 0 else float(0),
"lowestBalance" : float(min(periodTransactions, key=lambda x: x[4])[4]) if len(periodTransactions) > 0 else float(0),
}
return stats
def foo(transactions):
years = []
for trans in transactions:
if trans[1].year not in years:
years.append(trans[1].year)
for year in years:
pass
if __name__ == "__main__":
trans = importTransactionData() #importTransactionData("./Raw Transaction Data.csv")
[print(x) for x in trans if x[-2] == TRANSACTION_TYPES[-1]]
trans = loadTransactionData()
y = lambda x: x[-2] == TRANSACTION_TYPES[0]
print(calculateStats(trans, otherFelid=y))
#calculateStats(trans)
#[print(x) for x in trans if x[-2] == TRANSACTION_TYPES[-1]]