To improve the code organization, additional subfolders were added into the pfbudget module. The barebones of renewing the token and downloading transactions directly from the banks through the Nordigen API were also added. Issues #13, #15
223 lines
7.2 KiB
Python
223 lines
7.2 KiB
Python
from __future__ import annotations
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from calendar import monthrange
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from dateutil.rrule import rrule, MONTHLY
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from typing import TYPE_CHECKING
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import datetime as dt
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import matplotlib.pyplot as plt
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import pfbudget.core.categories
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if TYPE_CHECKING:
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from pfbudget.db.manager import DBManager
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groups = pfbudget.core.categories.cfg["Groups"]
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def monthly(
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db: DBManager, args: dict, start: dt.date = dt.date.min, end: dt.date = dt.date.max
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):
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transactions = db.get_daterange(start, end)
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start, end = transactions[0].date, transactions[-1].date
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monthly_transactions = tuple(
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(
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month,
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{
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group: sum(
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transaction.value
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for transaction in transactions
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if transaction.category in categories
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and month
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<= transaction.date
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<= month
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+ dt.timedelta(days=monthrange(month.year, month.month)[1] - 1)
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)
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for group, categories in pfbudget.core.categories.groups.items()
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},
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)
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for month in [
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month.date()
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for month in rrule(
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MONTHLY, dtstart=start.replace(day=1), until=end.replace(day=1)
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)
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]
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)
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plt.figure(tight_layout=True)
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plt.plot(
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list(rrule(MONTHLY, dtstart=start.replace(day=1), until=end.replace(day=1))),
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[
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sum(
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value
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for group, value in groups.items()
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if group == "income-fixed" or group == "income-extra"
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)
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for _, groups in monthly_transactions
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],
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color=groups["income"]["color"],
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linestyle=groups["income"]["linestyle"],
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)
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plt.plot(
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list(rrule(MONTHLY, dtstart=start.replace(day=1), until=end.replace(day=1))),
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[groups["income-fixed"] for _, groups in monthly_transactions],
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color=groups["income-fixed"]["color"],
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linestyle=groups["income-fixed"]["linestyle"],
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)
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plt.stackplot(
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list(rrule(MONTHLY, dtstart=start.replace(day=1), until=end.replace(day=1))),
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[
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[-groups[group] for _, groups in monthly_transactions]
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for group in pfbudget.core.categories.groups
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if group != "income-fixed"
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and group != "income-extra"
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and group != "investment"
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],
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labels=[
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group
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for group in pfbudget.core.categories.groups
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if group != "income-fixed"
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and group != "income-extra"
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and group != "investment"
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],
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colors=[
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groups.get(group, {"color": "gray"})["color"]
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for group in pfbudget.core.categories.groups
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if group != "income-fixed"
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and group != "income-extra"
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and group != "investment"
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],
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)
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plt.legend(loc="upper left")
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if args["save"]:
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plt.savefig("graph.png")
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else:
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plt.show()
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def discrete(
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db: DBManager, args: dict, start: dt.date = dt.date.min, end: dt.date = dt.date.max
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):
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transactions = db.get_daterange(start, end)
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start, end = transactions[0].date, transactions[-1].date
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monthly_transactions = tuple(
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(
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month,
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{
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category: sum(
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transaction.value
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for transaction in transactions
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if transaction.category == category
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and month
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<= transaction.date
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<= month
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+ dt.timedelta(days=monthrange(month.year, month.month)[1] - 1)
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)
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for category in pfbudget.core.categories.categories
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},
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)
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for month in [
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month.date()
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for month in rrule(
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MONTHLY, dtstart=start.replace(day=1), until=end.replace(day=1)
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)
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]
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)
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plt.figure(tight_layout=True)
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plt.plot(
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list(rrule(MONTHLY, dtstart=start.replace(day=1), until=end.replace(day=1))),
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[
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sum(
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value
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for category, value in categories.items()
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if category in pfbudget.core.categories.groups["income-fixed"]
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or category in pfbudget.core.categories.groups["income-extra"]
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)
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for _, categories in monthly_transactions
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],
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color=groups["income"]["color"],
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linestyle=groups["income"]["linestyle"],
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)
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plt.plot(
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list(rrule(MONTHLY, dtstart=start.replace(day=1), until=end.replace(day=1))),
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[
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sum(
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value
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for category, value in categories.items()
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if category in pfbudget.core.categories.groups["income-fixed"]
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)
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for _, categories in monthly_transactions
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],
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color=groups["income-fixed"]["color"],
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linestyle=groups["income-fixed"]["linestyle"],
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)
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plt.stackplot(
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list(rrule(MONTHLY, dtstart=start.replace(day=1), until=end.replace(day=1))),
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[
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[-categories[category] for _, categories in monthly_transactions]
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for category in pfbudget.core.categories.categories
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if category not in pfbudget.core.categories.groups["income-fixed"]
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and category not in pfbudget.core.categories.groups["income-extra"]
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and category not in pfbudget.core.categories.groups["investment"]
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and category != "Null"
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],
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labels=[
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category
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for category in pfbudget.core.categories.categories
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if category not in pfbudget.core.categories.groups["income-fixed"]
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and category not in pfbudget.core.categories.groups["income-extra"]
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and category not in pfbudget.core.categories.groups["investment"]
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and category != "Null"
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],
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)
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plt.grid()
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plt.legend(loc="upper left")
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if args["save"]:
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plt.savefig("graph.png")
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else:
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plt.show()
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def networth(
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db: DBManager, args: dict, start: dt.date = dt.date.min, end: dt.date = dt.date.max
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):
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transactions = db.get_daterange(start, end)
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start, end = transactions[0].date, transactions[-1].date
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accum = 0
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monthly_networth = tuple(
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(
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month,
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accum := sum(
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transaction.value
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for transaction in transactions
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if transaction.original != "No"
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and transaction.category not in pfbudget.core.categories.groups["investment"]
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and month
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<= transaction.date
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<= month + dt.timedelta(days=monthrange(month.year, month.month)[1] - 1)
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)
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+ accum,
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)
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for month in [
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month.date()
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for month in rrule(
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MONTHLY, dtstart=start.replace(day=1), until=end.replace(day=1)
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)
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]
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)
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plt.figure(tight_layout=True)
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plt.plot(
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list(rrule(MONTHLY, dtstart=start.replace(day=1), until=end.replace(day=1))),
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[value for _, value in monthly_networth],
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label="Total networth",
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)
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plt.grid()
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plt.legend(loc="upper left")
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if args["save"]:
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plt.savefig("graph.png")
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else:
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plt.show()
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