Memory Profiler is an open-source module that uses the psutil module, to monitor the memory consumption of Python functions. It performs a line-by-line memory consumption analysis.
Installation:
Install Memory Profiler from PyPl using:
pip install -U memory_profiler
After you have configured memory_profiler, you can use a decorator to track the memory consumption of the function. The @profile decorator can be used before every function that needs to be tracked. This will track the memory consumption line-by-line.
After decorating all the functions with @profile execute the python script with a specific set of arguments.
import yfinance as yf
from memory_profiler import profile
tickers = ['^AORD', '^DJI']
@profile
def isupdown(x):
if x > 0:
return ' up '
else:
return ' down '
@profile
def GetStock(stocks):
stock = yf.Ticker(stocks)
price = stock.info['regularMarketPrice']
marketopen = stock.info['regularMarketOpen']
myval = (((price - marketopen)/marketopen))*100
points = (price - marketopen)
stock = stocks + ' - Stock opened at ' + str(marketopen) + ' Currently ' + str(price) + isupdown(
myval) + str(round(myval, 2)) + '% ' + isupdown(myval) + str(round(points)) + ' points'
return stock
print(GetStock('^AORD'))
print(GetStock('^DJI'))
Filename: get_stocks.py
Line # Mem usage Increment Occurrences Line Contents
=============================================================
20 91.6 MiB 91.6 MiB 1 @profile
21 def isupdown(x):
22 91.6 MiB 0.0 MiB 1 if x > 0:
23 91.6 MiB 0.0 MiB 1 return ' up '
24 else:
25 return ' down '
Filename: get_stocks.py
Line # Mem usage Increment Occurrences Line Contents
=============================================================
20 91.6 MiB 91.6 MiB 1 @profile
21 def isupdown(x):
22 91.6 MiB 0.0 MiB 1 if x > 0:
23 91.6 MiB 0.0 MiB 1 return ' up '
24 else:
25 return ' down '
Filename: get_stocks.py
Line # Mem usage Increment Occurrences Line Contents
=============================================================
28 77.1 MiB 77.1 MiB 1 @profile
29 def GetStock(stocks):
30 77.3 MiB 0.2 MiB 1 stock = yf.Ticker(stocks)
31 91.5 MiB 14.3 MiB 1 price = stock.info['regularMarketPrice']
32 91.5 MiB 0.0 MiB 1 marketopen = stock.info['regularMarketOpen']
33 91.5 MiB 0.0 MiB 1 myval = (((price - marketopen)/marketopen))*100
34 91.5 MiB 0.0 MiB 1 points = (price - marketopen)
35 91.6 MiB 0.1 MiB 7 stock = stocks + ' - Stock opened at ' + str(marketopen) + ' Currently ' + str(price) + isupdown(
36 91.6 MiB 0.0 MiB 6 myval) + str(round(myval, 2)) + '% ' + isupdown(myval) + str(round(points)) + ' points'
37 91.6 MiB 0.0 MiB 1 return stock
^AORD - Stock opened at 7356.1 Currently 7427.9 up 0.98% up 72 points
Filename: get_stocks.py
Line # Mem usage Increment Occurrences Line Contents
=============================================================
20 95.9 MiB 95.9 MiB 1 @profile
21 def isupdown(x):
22 95.9 MiB 0.0 MiB 1 if x > 0:
23 95.9 MiB 0.0 MiB 1 return ' up '
24 else:
25 return ' down '
Filename: get_stocks.py
Line # Mem usage Increment Occurrences Line Contents
=============================================================
20 95.9 MiB 95.9 MiB 1 @profile
21 def isupdown(x):
22 95.9 MiB 0.0 MiB 1 if x > 0:
23 95.9 MiB 0.0 MiB 1 return ' up '
24 else:
25 return ' down '
Filename: get_stocks.py
Line # Mem usage Increment Occurrences Line Contents
=============================================================
28 91.3 MiB 91.3 MiB 1 @profile
29 def GetStock(stocks):
30 91.3 MiB 0.0 MiB 1 stock = yf.Ticker(stocks)
31 95.9 MiB 4.5 MiB 1 price = stock.info['regularMarketPrice']
32 95.9 MiB 0.0 MiB 1 marketopen = stock.info['regularMarketOpen']
33 95.9 MiB 0.0 MiB 1 myval = (((price - marketopen)/marketopen))*100
34 95.9 MiB 0.0 MiB 1 points = (price - marketopen)
35 95.9 MiB 0.0 MiB 7 stock = stocks + ' - Stock opened at ' + str(marketopen) + ' Currently ' + str(price) + isupdown(
36 95.9 MiB 0.0 MiB 6 myval) + str(round(myval, 2)) + '% ' + isupdown(myval) + str(round(points)) + ' points'
37 95.9 MiB 0.0 MiB 1 return stock
^DJI - Stock opened at 32989.27 Currently 33544.34 up 1.68% up 555 points