From c6c4a0f9282ea1fd10009fa1706253dbed9c58be Mon Sep 17 00:00:00 2001 From: Robert Monnet Date: Sat, 1 Apr 2023 14:13:12 -0400 Subject: [PATCH 1/4] Snapshot from lesson 1 --- Work/bounce.py | 12 +++++++++--- Work/hello.py | 1 + Work/mortgage.py | 27 ++++++++++++++++++++++++--- Work/sears.py | 17 +++++++++++++++++ Work/variable_mortgage.py | 33 +++++++++++++++++++++++++++++++++ 5 files changed, 84 insertions(+), 6 deletions(-) create mode 100644 Work/hello.py create mode 100644 Work/sears.py create mode 100644 Work/variable_mortgage.py diff --git a/Work/bounce.py b/Work/bounce.py index 3660ddd82..1e5b2e5e6 100644 --- a/Work/bounce.py +++ b/Work/bounce.py @@ -1,3 +1,9 @@ -# bounce.py -# -# Exercise 1.5 +# A rubber ball is dropped from a height of 100m and each time it hits the ground, it bounces +# back to 3/5 the height it fell. +# Print a table showing the height of the first 10 bounces. + +height = 100 + +for i in range(10): + height = height * 3 / 5 + print(i+1, round(height, ndigits=4)) diff --git a/Work/hello.py b/Work/hello.py new file mode 100644 index 000000000..0ab9637cd --- /dev/null +++ b/Work/hello.py @@ -0,0 +1 @@ +print('hello world!') diff --git a/Work/mortgage.py b/Work/mortgage.py index d527314e3..a6fe83674 100644 --- a/Work/mortgage.py +++ b/Work/mortgage.py @@ -1,3 +1,24 @@ -# mortgage.py -# -# Exercise 1.7 +# Dave has decided to take out a 30 years mortgage of $500,000. +# The interest rate is 5%, the monthly payment is $2684.11 +# Calculate the total amount that Dave will have to pay over the +# life of the mortgage + +# Suppose Dave has an extra payment of $1000/month for the first 12 months +# of the mortgage. + +principal = 500000.0 +rate = 0.05 +payment = 2684.11 +total_paid = 0 +number_months = 0 + +while principal > 0: + principal = principal * (1+rate/12) - payment + total_paid = total_paid + payment + if number_months < 12: + total_paid = total_paid + 1000 + principal = principal - 1000 + number_months = number_months + 1 + +print('Total paid', round(total_paid, ndigits=2)) +print('Number of Months', number_months) diff --git a/Work/sears.py b/Work/sears.py new file mode 100644 index 000000000..c822b09d4 --- /dev/null +++ b/Work/sears.py @@ -0,0 +1,17 @@ +# On day one you deposit one bill on the ground in front of Sears tower. +# Every day you go out and double the number of bills. +# How many days will it take for the height of the bill stack to exceed the height of the tower? + +bill_thickness = 0.11 * 0.001 # meters +sears_height = 442 # height in meters +num_bills = 1 +day = 1 + +while num_bills * bill_thickness < sears_height: + print(day, num_bills, num_bills * bill_thickness) + day = day + 1 + num_bills = num_bills * 2 + +print('Number of days', day) +print('Number of bills', num_bills) +print('Final height', num_bills * bill_thickness) diff --git a/Work/variable_mortgage.py b/Work/variable_mortgage.py new file mode 100644 index 000000000..efb1c658f --- /dev/null +++ b/Work/variable_mortgage.py @@ -0,0 +1,33 @@ +# Dave has decided to take out a 30 years mortgage of $500,000. +# The interest rate is 5%, the monthly payment is $2684.11 +# Calculate the total amount that Dave will have to pay over the +# life of the mortgage + +# User input is used to set custom payments + +principal = 500000.0 +rate = 0.05 +payment = 2684.11 +total_paid = 0 +number_months = 0 +extra_payment_start_month = 1000000000 +extra_payment_end_month = extra_payment_start_month +extra_payment = 0 + +extra_payment = int(input('Extra payment / month: ')) +if extra_payment > 0: + extra_payment_start_month = int(input('Extra payment start month: ')) + extra_payment_end_month = int(input('Extrapoayment end month: ')) + +while principal > 0: + principal = principal * (1+rate/12) - payment + total_paid = total_paid + payment + number_months = number_months + 1 + if number_months >= extra_payment_start_month and number_months <= extra_payment_end_month: + total_paid = total_paid + extra_payment + principal = principal - extra_payment + print(number_months, round(total_paid, 2), round(principal, 2)) + + +print('Total paid', round(total_paid, ndigits=2)) +print('Number of Months', number_months) From a5a39b6677f3fffdc424bad50750ff507d44ae5a Mon Sep 17 00:00:00 2001 From: Robert Monnet Date: Mon, 3 Apr 2023 11:12:09 -0400 Subject: [PATCH 2/4] Completed chapter 1 --- Work/compressed_portfolio.py | 10 ++++++++++ Work/pcost.py | 15 ++++++++++++--- Work/pcost_cli.py | 28 ++++++++++++++++++++++++++++ Work/pcost_csv.py | 15 +++++++++++++++ Work/pcost_fun.py | 20 ++++++++++++++++++++ Work/portfolio.py | 8 ++++++++ Work/sumcount.py | 15 +++++++++++++++ Work/variable_mortgage.py | 4 ++++ 8 files changed, 112 insertions(+), 3 deletions(-) create mode 100644 Work/compressed_portfolio.py create mode 100644 Work/pcost_cli.py create mode 100644 Work/pcost_csv.py create mode 100644 Work/pcost_fun.py create mode 100644 Work/portfolio.py create mode 100644 Work/sumcount.py diff --git a/Work/compressed_portfolio.py b/Work/compressed_portfolio.py new file mode 100644 index 000000000..02c60e5c3 --- /dev/null +++ b/Work/compressed_portfolio.py @@ -0,0 +1,10 @@ +# Manipulate the Data/portfolio.csv CSV file + +import gzip + +with gzip.open('Data/portfolio.csv.gz', 'rt') as f: + headers = next(f).upper().strip() + print(headers) + for line in f: + stats = line.strip() + print(stats) diff --git a/Work/pcost.py b/Work/pcost.py index e68aa20b4..4a21061df 100644 --- a/Work/pcost.py +++ b/Work/pcost.py @@ -1,3 +1,12 @@ -# pcost.py -# -# Exercise 1.27 +# Manipulate the Data/portfolio.csv CSV file +# Compute the cost of all the stocks + +with open('Data/portfolio.csv', 'rt') as f: + headers = next(f).strip().split(',') + total_cost = 0 + for line in f: + stock = line.strip().split(',') + shares = int(stock[1]) + share_cost = float(stock[2]) + total_cost = total_cost + shares * share_cost +print('Total cost', total_cost) diff --git a/Work/pcost_cli.py b/Work/pcost_cli.py new file mode 100644 index 000000000..89b7c4786 --- /dev/null +++ b/Work/pcost_cli.py @@ -0,0 +1,28 @@ +# Manipulate the Data/portfolio.csv CSV file +# Compute the cost of all the stocks + +import sys + + +def portfolio_cost(filename): + with open(filename, 'rt') as f: + headers = next(f).strip().split(',') + total_cost = 0 + for line in f: + stock = line.strip().split(',') + try: + shares = int(stock[1]) + share_cost = float(stock[2]) + total_cost = total_cost + shares * share_cost + except ValueError: + print(f"Warning: skipping invalid entry '{line.strip()}'") + return total_cost + + +if len(sys.argv) == 2: + filename = sys.argv[1] +else: + filename = 'Data/portfolio.csv' + +total_cost = portfolio_cost(filename) +print('Total cost', total_cost) diff --git a/Work/pcost_csv.py b/Work/pcost_csv.py new file mode 100644 index 000000000..7669d45f5 --- /dev/null +++ b/Work/pcost_csv.py @@ -0,0 +1,15 @@ +# Manipulate the Data/portfolio.csv CSV file +# Compute the cost of all the stocks +# Use the csv module + +import csv + +with open('Data/portfolio.csv', 'rt') as f: + rows = csv.reader(f) + headers = next(rows) + total_cost = 0 + for row in rows: + shares = int(row[1]) + share_cost = float(row[2]) + total_cost = total_cost + shares * share_cost +print('Total cost', total_cost) diff --git a/Work/pcost_fun.py b/Work/pcost_fun.py new file mode 100644 index 000000000..3cc21d610 --- /dev/null +++ b/Work/pcost_fun.py @@ -0,0 +1,20 @@ +# Manipulate the Data/portfolio.csv CSV file +# Compute the cost of all the stocks + +def portfolio_cost(filename): + with open(filename, 'rt') as f: + headers = next(f).strip().split(',') + total_cost = 0 + for line in f: + stock = line.strip().split(',') + try: + shares = int(stock[1]) + share_cost = float(stock[2]) + total_cost = total_cost + shares * share_cost + except ValueError: + print(f"Warning: skipping invalid entry '{line.strip()}'") + return total_cost + + +total_cost = portfolio_cost('Data/portfolio.csv') +print('Total cost', total_cost) diff --git a/Work/portfolio.py b/Work/portfolio.py new file mode 100644 index 000000000..8df2bb529 --- /dev/null +++ b/Work/portfolio.py @@ -0,0 +1,8 @@ +# Manipulate the Data/portfolio.csv CSV file + +with open('Data/portfolio.csv', 'rt') as f: + headers = next(f).upper().strip() + print(headers) + for line in f: + stats = line.strip() + print(stats) diff --git a/Work/sumcount.py b/Work/sumcount.py new file mode 100644 index 000000000..30af1f2ea --- /dev/null +++ b/Work/sumcount.py @@ -0,0 +1,15 @@ +# use functions for reusable code + +def sumcount(n): + ''' + Returns the sum of the first n integers + ''' + total = 0 + while n > 0: + total += n + n -= 1 + return total + + +print('sum of 1 to 3 = ', sumcount(3)) +print('sum of 1 to 10 = ', sumcount(10)) diff --git a/Work/variable_mortgage.py b/Work/variable_mortgage.py index efb1c658f..8bf6cd1cd 100644 --- a/Work/variable_mortgage.py +++ b/Work/variable_mortgage.py @@ -26,6 +26,10 @@ if number_months >= extra_payment_start_month and number_months <= extra_payment_end_month: total_paid = total_paid + extra_payment principal = principal - extra_payment + # correct for over-payment + if principal < 0: + total_paid = total_paid + principal + principal = 0 print(number_months, round(total_paid, 2), round(principal, 2)) From 8a7ef57d602dc15733472337377801922736fe74 Mon Sep 17 00:00:00 2001 From: Robert Monnet Date: Tue, 4 Apr 2023 16:58:28 -0400 Subject: [PATCH 3/4] Completed chapter 3 --- Work/fileparse.py | 56 +++++++++++++- Work/pcost_cli.py | 10 ++- Work/portfolio_with_indices.py | 19 +++++ Work/report.py | 132 ++++++++++++++++++++++++++++++++- Work/report2.py | 120 ++++++++++++++++++++++++++++++ 5 files changed, 327 insertions(+), 10 deletions(-) create mode 100644 Work/portfolio_with_indices.py create mode 100755 Work/report2.py diff --git a/Work/fileparse.py b/Work/fileparse.py index 1d499e733..48f4b5e8c 100644 --- a/Work/fileparse.py +++ b/Work/fileparse.py @@ -1,3 +1,53 @@ -# fileparse.py -# -# Exercise 3.3 + +import csv +from pprint import pprint + + +def parse_csv(filename, select=None, headers=None): + """ + Parse a CSV file into a list of records + """ + with open(filename, 'rt') as f: + rows = csv.reader(f) + + # read the headers + if not headers: + headers = next(rows) + + if select: + indices = [(headers.index(name), cvt) for name, cvt in select] + headers = [headers[index] for index, cvt in indices] + else: + indices = [] + + records = [] + for row in rows: + # skip rows with no data + if not row: + continue + # if we selected a subset of column, filter the row down to this subset + if indices: + try: + row = [cvt(row[index]) for index, cvt in indices] + record = dict(zip(headers, row)) + except ValueError: + print(f'Warning: skipping invalid entry {row}') + else: + record = dict(zip(headers, row)) + + records.append(record) + + return records + + +if __name__ == '__main__': + + portfolio = parse_csv('Data/portfolio.csv', + select=[('name', str), ('shares', int), ('price', float)]) + print('Portfolio:') + pprint(portfolio) + + prices = parse_csv('Data/prices.csv', + select=[('name', str), ('price', float)], headers=['name', 'price']) + print('Prices:') + pprint(prices) diff --git a/Work/pcost_cli.py b/Work/pcost_cli.py index 89b7c4786..c3e80649a 100644 --- a/Work/pcost_cli.py +++ b/Work/pcost_cli.py @@ -2,20 +2,22 @@ # Compute the cost of all the stocks import sys +import csv def portfolio_cost(filename): with open(filename, 'rt') as f: - headers = next(f).strip().split(',') + rows = csv.reader(f) + headers = next(rows) total_cost = 0 - for line in f: - stock = line.strip().split(',') + for lineno, stock in enumerate(rows, start=1): try: shares = int(stock[1]) share_cost = float(stock[2]) total_cost = total_cost + shares * share_cost except ValueError: - print(f"Warning: skipping invalid entry '{line.strip()}'") + print( + f"Warning: skipping invalid entry '{stock} on line {lineno}") return total_cost diff --git a/Work/portfolio_with_indices.py b/Work/portfolio_with_indices.py new file mode 100644 index 000000000..e18d1c145 --- /dev/null +++ b/Work/portfolio_with_indices.py @@ -0,0 +1,19 @@ +# Read from a CSV file and extract fields names 'name', 'shares', and 'price'. +# At the same time convert the extracted fields to the types str, int and float. + +import csv +from pprint import pprint + +with open('Data/portfoliodate.csv') as f: + rows = csv.reader(f) + headers = next(rows) + # specify the field names and types for extraction/conversion + select = ['name', 'shares', 'price'] + types = [str, int, float] + indices = [headers.index(colname) for colname in select] + portfolio = [] + for row in rows: + portfolio.append({colname: totype(row[index]) + for colname, index, totype in zip(select, indices, types)}) + +pprint(portfolio) diff --git a/Work/report.py b/Work/report.py index 47d5da7b1..207522b48 100644 --- a/Work/report.py +++ b/Work/report.py @@ -1,3 +1,129 @@ -# report.py -# -# Exercise 2.4 +# Read the data from a portfolio file and populate a list of tuples + +import csv +import sys +from pprint import pprint + + +def read_portfolio(filename): + """ + Read a file of portfolio data and return as a list of dictionaries. + + The keys to each stock dictionary are 'name', 'shares' and 'price'. + """ + # Using zip to pair headers and values and build a dictionary + portfolio = [] + + with open(filename, 'rt') as f: + rows = csv.reader(f) + headers = next(rows) + for lineno, row in enumerate(rows, start=1): + try: + portfolio.append(dict(zip(headers, row))) + except ValueError: + print(f'Warning: skipped invalid entry {row} on line {lineno}') + return portfolio + + +def read_prices(filename): + """ + Read a file of stock prices and return as a dictionary of [name, price]. + """ + prices = [] + + with open(filename, 'rt') as f: + # the price database file has no headers + rows = csv.reader(f) + for row in rows: + if len(row) < 2: + continue + try: + prices.append(row) + except ValueError: + print(f'Warning: skipped invalid entry {row}') + return dict(prices) + + +def portfolio_initial_cost(portfolio): + """ + Compute the initial cost of a stock portfolio represented as a list + of dictionary with keys 'name', 'shares' and 'price'. + """ + total_cost = 0 + for stock in portfolio: + total_cost += int(stock['shares']) * float(stock['price']) + return total_cost + + +def portfolio_current_value(portfolio, prices): + """ + Compute the current value of a stock protfolio using a database of current stock prices. + + The portfolio is a list of stock dictionaries with the keys being 'name', 'shares', and price'. + The price database is a dictionary of stocks with k/v being 'name'/'price'. + """ + total_value = 0 + for stock in portfolio: + total_value += int(stock['shares']) * float(prices[stock['name']]) + return total_value + + +def make_report(portfolio, prices): + """ + Produce a report on the portfolio as a list of tuples (name, shares, price, change). + + The price is the original price, the change is the different between the current and the + original price. + """ + report = [] + for stock in portfolio: + name = stock['name'] + shares = int(stock['shares']) + price = float(prices[name]) + original_price = float(stock['price']) + report.append((name, shares, price, price-original_price)) + return report + + +def print_report(report): + """ + Print a tabulated version of the report. + The table columns are Name, Shares, Price and Change. + Each column is 10 characters wide. + """ + print('Stock report:') + print(' Name Shares Price Change') + print('---------- ---------- ---------- ----------') + for name, shares, price, change in report: + dollar_price = f'${price:0.2f}' + print( + f"{name:>10s} {shares:>10d} {dollar_price:>10s} {change:10.2f}") + +# portfolio = read_portfolio_as_tuples('Data/portfolio.csv') +# print('Portfolio as tuple:') +# pprint(portfolio) + + +def portfolio_report(portfolio_filename, prices_filename): + portfolio = read_portfolio(portfolio_filename) + + prices = read_prices(prices_filename) + + initial_cost = portfolio_initial_cost(portfolio) + print(f'Initial cost : {initial_cost:12.2f}') + + current_value = portfolio_current_value(portfolio, prices) + print(f'Current value: {current_value:12.2f}') + + print(f'Gain : {current_value - initial_cost:12.2f}') + + report = make_report(portfolio, prices) + print_report(report) + + +if len(sys.argv) == 2: + filename = sys.argv[1] +else: + filename = 'Data/portfolio.csv' + +portfolio_report(filename, 'Data/prices.csv') diff --git a/Work/report2.py b/Work/report2.py new file mode 100755 index 000000000..6e38b6f94 --- /dev/null +++ b/Work/report2.py @@ -0,0 +1,120 @@ +#! /usr/bin/env python3 + +# Read the data from a portfolio file and populate a list of tuples +# Same as report but import the parse_csv function from fileparse module. + +import csv +import sys +from pprint import pprint +from fileparse import parse_csv + + +def read_portfolio(filename): + """ + Read a file of portfolio data and return as a list of dictionaries. + + The keys to each stock dictionary are 'name', 'shares' and 'price'. + """ + return parse_csv(filename, select=[('name', str), ('shares', int), ('price', float)]) + + +def read_prices(filename): + """ + Read a file of stock prices and return as a dictionary of [name, price]. + """ + prices = parse_csv(filename, select=[ + ('name', str), ('price', float)], headers=['name', 'price']) + return {entry['name']: entry['price'] for entry in prices} + + +def portfolio_initial_cost(portfolio): + """ + Compute the initial cost of a stock portfolio represented as a list + of dictionary with keys 'name', 'shares' and 'price'. + """ + total_cost = 0 + for stock in portfolio: + total_cost += stock['shares'] * stock['price'] + return total_cost + + +def portfolio_current_value(portfolio, prices): + """ + Compute the current value of a stock protfolio using a database of current stock prices. + + The portfolio is a list of stock dictionaries with the keys being 'name', 'shares', and price'. + The price database is a dictionary of stocks with k/v being 'name'/'price'. + """ + total_value = 0 + for stock in portfolio: + total_value += stock['shares'] * prices[stock['name']] + return total_value + + +def make_report(portfolio, prices): + """ + Produce a report on the portfolio as a list of tuples (name, shares, price, change). + + The price is the original price, the change is the different between the current and the + original price. + """ + report = [] + for stock in portfolio: + name = stock['name'] + shares = stock['shares'] + price = prices[name] + original_price = stock['price'] + report.append((name, shares, price, price-original_price)) + return report + + +def print_report(report): + """ + Print a tabulated version of the report. + The table columns are Name, Shares, Price and Change. + Each column is 10 characters wide. + """ + print('Stock report:') + print(' Name Shares Price Change') + print('---------- ---------- ---------- ----------') + for name, shares, price, change in report: + dollar_price = f'${price:0.2f}' + print( + f"{name:>10s} {shares:>10d} {dollar_price:>10s} {change:10.2f}") + +# portfolio = read_portfolio_as_tuples('Data/portfolio.csv') +# print('Portfolio as tuple:') +# pprint(portfolio) + + +def portfolio_report(portfolio_filename, prices_filename): + portfolio = read_portfolio(portfolio_filename) + + prices = read_prices(prices_filename) + + initial_cost = portfolio_initial_cost(portfolio) + print(f'Initial cost : {initial_cost:12.2f}') + + current_value = portfolio_current_value(portfolio, prices) + print(f'Current value: {current_value:12.2f}') + + print(f'Gain : {current_value - initial_cost:12.2f}') + + report = make_report(portfolio, prices) + print_report(report) + + +def main(cli_options=[]): + + if len(cli_options) == 3: + portfolio = cli_options[1] + prices = cli_options[2] + else: + portfolio = 'Data/portfolio.csv' + prices = 'Data/prices.csv' + + portfolio_report(portfolio, prices) + + +if __name__ == '__main__': + main(sys.argv) From e58a4af3c90b5c17f7643166e69821e6747f2897 Mon Sep 17 00:00:00 2001 From: Robert Monnet Date: Mon, 10 Apr 2023 10:33:15 -0400 Subject: [PATCH 4/4] Completed chapter 9 --- Work/Data/stocklog.csv | 5786 ++++++++++++++++++++++++++++++++++++++ Work/countdown.py | 11 + Work/decorator-ex.py | 34 + Work/filematch.py | 18 + Work/fileparse.py | 16 +- Work/follow.py | 38 + Work/follow_one_stock.py | 30 + Work/player.py | 21 + Work/report3.py | 139 + Work/stock.py | 90 + Work/stock2.py | 51 + Work/tableformat.py | 88 + Work/test_stock.py | 26 + Work/ticker.py | 61 + 14 files changed, 6407 insertions(+), 2 deletions(-) create mode 100644 Work/Data/stocklog.csv create mode 100644 Work/countdown.py create mode 100644 Work/decorator-ex.py create mode 100644 Work/filematch.py create mode 100644 Work/follow.py create mode 100644 Work/follow_one_stock.py create mode 100644 Work/player.py create mode 100644 Work/report3.py create mode 100644 Work/stock.py create mode 100644 Work/stock2.py create mode 100644 Work/tableformat.py create mode 100644 Work/test_stock.py create mode 100644 Work/ticker.py diff --git a/Work/Data/stocklog.csv b/Work/Data/stocklog.csv new file mode 100644 index 000000000..63c388617 --- /dev/null +++ b/Work/Data/stocklog.csv @@ -0,0 +1,5786 @@ +"AA",39.31,"6/11/2007","09:30.00",-0.35,39.67,39.31,39.31,75600 +"AIG",71.26,"6/11/2007","09:30.00",-0.27,71.29,71.26,71.26,73400 +"AXP",62.38,"6/11/2007","09:30.00",-0.66,62.79,62.38,62.38,834350 +"BA",98.31,"6/11/2007","09:30.00",0.12,98.25,98.31,98.31,37450 +"C",52.99,"6/11/2007","09:30.00",-0.34,53.20,52.99,52.99,82500 +"CAT",77.99,"6/11/2007","09:30.00",-0.53,78.32,77.99,77.99,169282 +"DD",50.60,"6/11/2007","09:30.00",-0.53,51.13,50.60,50.60,9750 +"DIS",34.04,"6/11/2007","09:30.00",-0.16,34.28,34.04,34.04,105100 +"GE",37.12,"6/11/2007","09:30.00",-0.20,37.07,37.12,37.12,175900 +"GM",31.50,"6/11/2007","09:30.00",0.50,31.00,31.50,31.50,177454 +"HD",37.62,"6/11/2007","09:30.00",-0.33,37.78,37.62,37.62,114969 +"HON",57.02,"6/11/2007","09:30.00",-0.36,57.25,57.02,57.02,111800 +"HPQ",45.59,"6/11/2007","09:30.00",-0.11,45.80,45.59,45.59,121100 +"IBM",102.77,"6/11/2007","09:30.00",-0.30,102.87,102.77,102.77,73900 +"INTC",21.82,"6/11/2007","09:30.00",-0.01,21.70,21.82,21.82,1796393 +"JNJ",62.08,"6/11/2007","09:30.00",-0.05,62.89,62.08,62.08,253400 +"JPM",50.25,"6/11/2007","09:30.00",-0.16,50.41,50.25,50.25,185650 +"KO",51.63,"6/11/2007","09:30.00",-0.04,51.67,51.63,51.63,3952150 +"MCD",50.80,"6/11/2007","09:30.00",-0.61,51.47,50.80,50.80,92400 +"MMM",85.75,"6/11/2007","09:30.00",-0.19,85.94,85.75,85.75,156100 +"MO",70.30,"6/11/2007","09:30.00",0.00,70.25,70.30,70.30,362600 +"MRK",49.66,"6/11/2007","09:30.00",-0.48,50.30,49.66,49.66,1254100 +"MSFT",29.95,"6/11/2007","09:30.00",-0.10,30.05,29.95,29.95,4861715 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+"MRK",50.97,"6/11/2007","13:06.27",0.83,50.30,51.06,49.66,5795249 +"AIG",71.70,"6/11/2007","13:06.31",0.17,71.29,71.74,71.26,2283414 +"CAT",79.10,"6/11/2007","13:06.31",0.58,78.32,79.14,77.99,1556281 +"GE",37.49,"6/11/2007","13:06.31",0.17,37.07,37.49,37.12,11949861 +"IBM",103.79,"6/11/2007","13:06.31",0.72,102.87,103.97,102.77,2512089 +"HON",57.01,"6/11/2007","13:06.33",-0.37,57.25,57.33,56.93,2011402 +"XOM",83.55,"6/11/2007","13:06.35",0.87,82.68,83.67,82.41,6400476 +"MMM",85.44,"6/11/2007","13:06.37",-0.50,85.94,85.78,85.28,1123721 +"MO",70.31,"6/11/2007","13:06.38",0.01,70.25,70.47,69.85,4517057 +"VZ",43.30,"6/11/2007","13:06.43",0.23,42.95,43.32,42.78,4328527 +"JPM",50.66,"6/11/2007","13:06.44",0.25,50.41,50.66,50.13,4168275 +"AXP",62.98,"6/11/2007","13:06.45",-0.06,62.79,63.14,62.38,2068539 +"MRK",50.98,"6/11/2007","13:06.45",0.84,50.30,51.06,49.66,5802149 +"BA",97.67,"6/11/2007","13:06.46",-0.52,98.25,98.73,97.65,1520154 +"C",53.59,"6/11/2007","13:06.46",0.26,53.20,53.59,52.89,5907893 +"HD",37.76,"6/11/2007","13:06.51",-0.19,37.78,37.77,37.62,5573417 +"INTC",22.02,"6/11/2007","13:06.51",0.19,21.70,22.02,21.82,22111080 +"PG",63.08,"6/11/2007","13:06.51",0.01,62.80,63.10,62.61,3199150 +"HON",57.02,"6/11/2007","13:06.54",-0.36,57.25,57.33,56.93,2013859 +"PFE",26.51,"6/11/2007","13:06.55",-0.01,26.50,26.51,26.31,11671274 +"GM",31.36,"6/11/2007","13:06.57",0.36,31.00,31.50,31.06,7437550 +"XOM",83.56,"6/11/2007","13:06.58",0.88,82.68,83.67,82.41,6408281 diff --git a/Work/countdown.py b/Work/countdown.py new file mode 100644 index 000000000..03df44827 --- /dev/null +++ b/Work/countdown.py @@ -0,0 +1,11 @@ +# How to define generators + +def countdown(n): + while n > 0: + yield n + n -= 1 + + +for x in countdown(10): + print(x, end=' ') +print() diff --git a/Work/decorator-ex.py b/Work/decorator-ex.py new file mode 100644 index 000000000..fd0e80fdf --- /dev/null +++ b/Work/decorator-ex.py @@ -0,0 +1,34 @@ + +import time + + +def timed(func): + def wrapper(*args, **kwargs): + start = time.time() + res = func(*args, **kwargs) + end = time.time() + print(f'{func.__module__}.{func.__name__}: {end - start:0.3f}s') + return res + return wrapper + + +def logged(func): + def wrapper(*args, **kwargs): + print('>> Calling', func.__name__) + return func(*args, **kwargs) + return wrapper + + +@timed +def add(x, y): + time.sleep(1) + return x + y + + +@logged +def sub(x, y): + return x - y + + +print('add(1,2) = ', add(1, 2)) +print('sub(1,2) = ', sub(1, 2)) diff --git a/Work/filematch.py b/Work/filematch.py new file mode 100644 index 000000000..e6bf1612d --- /dev/null +++ b/Work/filematch.py @@ -0,0 +1,18 @@ + +def filematch(filename, substr): + with open(filename, 'tr') as f: + for line in f: + if substr in line: + yield line + + +print('List all lines in the portfolio.csv:') +with open('Data/portfolio.csv', 'tr') as f: + for line in f: + print(line, end='') +print('\n') + +print('List all lines in portfolio with IBM stock:') +for line in filematch('Data/portfolio.csv', 'IBM'): + print(line, end='') +print() diff --git a/Work/fileparse.py b/Work/fileparse.py index 48f4b5e8c..297bbd340 100644 --- a/Work/fileparse.py +++ b/Work/fileparse.py @@ -1,6 +1,10 @@ import csv from pprint import pprint +import logging + +log = logging.getLogger(__name__) +print('>>>', __name__) def parse_csv(filename, select=None, headers=None): @@ -30,8 +34,9 @@ def parse_csv(filename, select=None, headers=None): try: row = [cvt(row[index]) for index, cvt in indices] record = dict(zip(headers, row)) - except ValueError: - print(f'Warning: skipping invalid entry {row}') + except ValueError as error: + log.warning('Skipping invalid entry %s', row) + log.debug('Exception is %s', error) else: record = dict(zip(headers, row)) @@ -42,6 +47,8 @@ def parse_csv(filename, select=None, headers=None): if __name__ == '__main__': + logging.basicConfig(level=logging.DEBUG) + portfolio = parse_csv('Data/portfolio.csv', select=[('name', str), ('shares', int), ('price', float)]) print('Portfolio:') @@ -51,3 +58,8 @@ def parse_csv(filename, select=None, headers=None): select=[('name', str), ('price', float)], headers=['name', 'price']) print('Prices:') pprint(prices) + + portfolio2 = parse_csv('Data/missing.csv', + select=[('name', str), ('shares', int), ('price', float)]) + print('Portfolio2:') + pprint(portfolio2) diff --git a/Work/follow.py b/Work/follow.py new file mode 100644 index 000000000..3b85173a7 --- /dev/null +++ b/Work/follow.py @@ -0,0 +1,38 @@ +# follow the stock data generated in 'Data/stocklog.csv' + +import os +import time + + +def follow(filename): + + f = open(filename) + # move file pointer 0 bytes from end of file + f.seek(0, os.SEEK_END) + + while True: + line = f.readline() + if len(line) > 0: + yield line + + +def filematch(lines, substr): + for line in lines: + if substr in line: + yield line + + +if __name__ == '__main__': + + import report3 + portfolio = report3.read_portfolio('Data/portfolio.csv') + stock_names = {s.name for s in portfolio} + print(f'stock names to watch: {stock_names}') + + for line in follow('Data/stocklog.csv'): + fields = line.split(',') + name = fields[0].strip('"') + price = float(fields[1]) + change = float(fields[4]) + if name in portfolio: + print(f'{name:>10s} {price:>10.2f} {change:>10.2f}') diff --git a/Work/follow_one_stock.py b/Work/follow_one_stock.py new file mode 100644 index 000000000..3406823c9 --- /dev/null +++ b/Work/follow_one_stock.py @@ -0,0 +1,30 @@ +# follow the stock data generated in 'Data/stocklog.csv' + +import os +import time + + +def follow(filename): + + f = open(filename) + # move file pointer 0 bytes from end of file + # f.seek(0, os.SEEK_END) + + while True: + line = f.readline() + if len(line) > 0: + yield line + + +def filematch(lines, substr): + for line in lines: + if substr in line: + yield line + + +if __name__ == '__main__': + + lines = follow('Data/stocklog.csv') + ibm = filematch(lines, 'IBM') + for line in ibm: + print(line, end='') diff --git a/Work/player.py b/Work/player.py new file mode 100644 index 000000000..4e79b8c8f --- /dev/null +++ b/Work/player.py @@ -0,0 +1,21 @@ +# An example of python class + +class Player: + + def __init__(self, x, y): + self.x = x + self.y = y + self.health = 100 + + def move(self, dx, dy): + self.x += dx + self.y += dy + + def damage(self, points): + self.health -= points + + +a = Player(2, 3) +b = Player(10, 20) + +print(f'a.x={a.x}') diff --git a/Work/report3.py b/Work/report3.py new file mode 100644 index 000000000..e7abbd541 --- /dev/null +++ b/Work/report3.py @@ -0,0 +1,139 @@ +#! /usr/bin/env python3 + +# Read the data from a portfolio file and populate a list of tuples +# Same as report but import the parse_csv function from fileparse module. +# Use the Stock data type instead of a dictionary for stocks. + +import csv +import sys +from pprint import pprint +from fileparse import parse_csv +from stock import Stock, Portfolio +import tableformat + + +def read_portfolio(filename): + """ + Read a file of portfolio data and return as a list of dictionaries. + + The keys to each stock dictionary are 'name', 'shares' and 'price'. + """ + port_dict = parse_csv( + filename, select=[('name', str), ('shares', int), ('price', float)]) + return Portfolio([Stock(**d) for d in port_dict]) + + +def read_prices(filename): + """ + Read a file of stock prices and return as a dictionary of [name, price]. + """ + prices = parse_csv(filename, select=[ + ('name', str), ('price', float)], headers=['name', 'price']) + return {entry['name']: entry['price'] for entry in prices} + + +def portfolio_initial_cost(portfolio): + """ + Compute the initial cost of a stock portfolio represented as a list + of dictionary with keys 'name', 'shares' and 'price'. + """ + total_cost = 0 + for stock in portfolio: + total_cost += stock.cost + return total_cost + + +def portfolio_current_value(portfolio, prices): + """ + Compute the current value of a stock protfolio using a database of current stock prices. + + The portfolio is a list of stock dictionaries with the keys being 'name', 'shares', and price'. + The price database is a dictionary of stocks with k/v being 'name'/'price'. + """ + total_value = 0 + for stock in portfolio: + total_value += stock.shares * prices[stock.name] + return total_value + + +def make_report(portfolio, prices): + """ + Produce a report on the portfolio as a list of tuples (name, shares, price, change). + + The price is the original price, the change is the different between the current and the + original price. + """ + report = [] + for stock in portfolio: + price = prices[stock.name] + original_price = stock.price + report.append((stock.name, stock.shares, + original_price, price-original_price)) + return report + + +def print_report(report, formatter): + """ + Print a tabulated version of the report. + The table columns are Name, Shares, Price and Change. + Each column is 10 characters wide. + """ + print('Stock report:') + # print(' Name Shares Price Change') + # print('---------- ---------- ---------- ----------') + formatter.headings(['Name', 'Shares', 'Price', 'Change']) + for name, shares, price, change in report: + dollar_price = f'${price:0.2f}' + rowdata = [name, str(shares), dollar_price, f'{change:0.2f}'] + formatter.row(rowdata) + + +def print_report2(report, formatter): + tableformat.print_table(report, ['name', 'shares'], formatter) + +# portfolio = read_portfolio_as_tuples('Data/portfolio.csv') +# print('Portfolio as tuple:') +# pprint(portfolio) + + +def portfolio_report(portfolio_filename, prices_filename, fmt='txt'): + portfolio = read_portfolio(portfolio_filename) + + prices = read_prices(prices_filename) + + initial_cost = portfolio_initial_cost(portfolio) + print(f'Initial cost : {initial_cost:12.2f}') + + current_value = portfolio_current_value(portfolio, prices) + print(f'Current value: {current_value:12.2f}') + + print(f'Gain : {current_value - initial_cost:12.2f}') + + print('Portfolio report:') + report = make_report(portfolio, prices) + print_report(report, tableformat.create_formatter(fmt)) + + print('Stock Report') + tableformat.print_table( + portfolio, ['name', 'shares', 'cost', 'price'], tableformat.create_formatter(fmt)) + + +def main(cli_options=[]): + + if len(cli_options) in [3, 4]: + portfolio = cli_options[1] + prices = cli_options[2] + else: + portfolio = 'Data/portfolio.csv' + prices = 'Data/prices.csv' + + if len(cli_options) == 4: + fmt = sys.argv[3] + else: + fmt = 'txt' + + portfolio_report(portfolio, prices, fmt) + + +if __name__ == '__main__': + main(sys.argv) diff --git a/Work/stock.py b/Work/stock.py new file mode 100644 index 000000000..f228cd6fb --- /dev/null +++ b/Work/stock.py @@ -0,0 +1,90 @@ +# Definition of a stock object for portfolio computations + +class Stock: + + def __init__(self, name, shares, price): + self.name = name + self.shares = int(shares) + self.price = float(price) + + @property + def cost(self): + return self.shares * self.price + + def sell(self, shares): + self.shares -= shares + + def __repr__(self): + return f'{self.name:<10s} {self.shares:>10d} {self.price:>10.2f} {self.cost:>10.2f}' + +# Example of using inheritance + + +class MyStock(Stock): + + def __init__(self, name, shares, price, factor): + super().__init__(name, shares, price) + self.factor = factor + + def panic(self): + self.sell(self.shares) + + # example of overriding a method using the original method via 'super' + @property + def cost(self): + return self.factor * super().cost() + + +class Portfolio: + + def __init__(self, holdings): + self._holdings = holdings + + def __iter__(self): + return self._holdings.__iter__() + + # Other useful functions for a container + def __len__(self): + return len(self._holdings) + + def __getitem__(self, index): + return self._holdings[index] + + def __contains__(self, name): + return any([s.name == name for s in self._holdings]) + + @property + def total_cost(self): + return sum([s.cost for s in self._holdings]) + + def tabulate_shares(self): + from collections import Counter + total_shares = Counter() + for s in self._holdings: + total_shares[s.name] += s.shares + return total_shares + + +if __name__ == '__main__': + + from pprint import pprint + + import fileparse + portdicts = fileparse.parse_csv('Data/portfolio.csv') + pprint(portdicts) + + # portfolio = [Stock(d['name'], d['shares'], d['price']) for d in portdicts] + portfolio = [Stock(**d) for d in portdicts] + for s in portfolio: + print(s) + + print('Showing inheritance...') + s = MyStock('GOOG', 100, 490.1, 1.1) + print(s) + s.sell(25) + print(s) + s.panic() + print(s) + + print(f's is instance of MyStock {isinstance(s, MyStock)}') + print(f's is instance of Stock {isinstance(s, Stock)}') diff --git a/Work/stock2.py b/Work/stock2.py new file mode 100644 index 000000000..22a3bfa82 --- /dev/null +++ b/Work/stock2.py @@ -0,0 +1,51 @@ + +def typedproperty(name, expected_type): + + private_name = '_' + name + + @property + def prop(self): + # print('>>> in getter') + return getattr(self, private_name) + + @prop.setter + def prop(self, value): + # print('>>> in setter') + if not isinstance(value, expected_type): + raise TypeError(f'Expected {expected_type}') + setattr(self, private_name, value) + + return prop + + +def String(name): return typedproperty(name, str) +def Integer(name): return typedproperty(name, int) +def Float(name): return typedproperty(name, float) + + +class Stock: + + name = String('name') + shares = Integer('shares') + price = Float('price') + + def __init__(self, name, shares, price): + self.name = name + self.shares = shares + self.price = price + + @property + def cost(self): + return self.shares * self.price + + def sell(self, shares): + self.shares -= shares + + def __repr__(self): + return f'{self.name:<10s} {self.shares:>10d} {self.price:>10.2f} {self.cost:>10.2f}' + + +if __name__ == '__main__': + + s = Stock('IBM', 10, 9.99) + print(s.name) diff --git a/Work/tableformat.py b/Work/tableformat.py new file mode 100644 index 000000000..aba384bf5 --- /dev/null +++ b/Work/tableformat.py @@ -0,0 +1,88 @@ +# Provides classes to format tables in different ways + +class TableFormatter: + + def headings(self, headers): + """ + Emit the table headings. + """ + raise NotImplementedError() + + def row(self, rowdata): + """ + Emit a single row of table data. + """ + raise NotImplementedError() + + +class TextTableFormatter(TableFormatter): + + def headings(self, headers): + for h in headers: + print(f'{h:>10s}', end=' ') + print() + print(('-'*10 + ' ')*len(headers)) + + def row(self, rowdata): + for d in rowdata: + print(f'{d:>10s}', end=' ') + print() + + +class CSVTableFormatter(TableFormatter): + + def headings(self, headers): + print(','.join(headers)) + + def row(self, rowdata): + print(','.join(rowdata)) + + +class HTMLTableFormatter(TableFormatter): + + def headings(self, headers): + print('', end='') + for h in headers: + print(f'{h}', end='') + print('') + + def row(self, rowdata): + print('', end='') + for d in rowdata: + print(f'{d}', end='') + print('') + + +def create_formatter(fmt): + + if fmt == 'txt': + return TextTableFormatter() + + if fmt == 'csv': + return CSVTableFormatter() + + if fmt == 'html': + return HTMLTableFormatter() + + raise FormatError(f'Unknown format {fmt}') + + +class FormatError(Exception): + pass + + +def print_table(data, colnames, formatter): + cap_colnames = [colname.capitalize() for colname in colnames] + formatter.headings(cap_colnames) + for row in data: + rowdata = [] + for colname in colnames: + value = getattr(row, colname) + if isinstance(value, str): + pass + elif isinstance(value, float): + value = f'{value:0.2f}' + else: + value = str(value) + rowdata.append(value) + formatter.row(rowdata) diff --git a/Work/test_stock.py b/Work/test_stock.py new file mode 100644 index 000000000..cc429a823 --- /dev/null +++ b/Work/test_stock.py @@ -0,0 +1,26 @@ +# unit tests for stock.py + +import unittest +from stock2 import Stock + + +class TestStock(unittest.TestCase): + + def test_create(self): + s = Stock('GOOG', 100, 490.1) + self.assertEqual(s.name, 'GOOG') + self.assertEqual(s.shares, 100) + self.assertEqual(s.price, 490.1) + + def test_cost(self): + s = Stock('GOOG', 100, 490.1) + self.assertEqual(s.cost, 49010.0) + + def test_bad_shares(self): + s = Stock('GOOG', 100, 490.1) + with self.assertRaises(TypeError): + s.shares = '100' + + +if __name__ == '__main__': + unittest.main() diff --git a/Work/ticker.py b/Work/ticker.py new file mode 100644 index 000000000..96a1637ab --- /dev/null +++ b/Work/ticker.py @@ -0,0 +1,61 @@ + +from follow import follow +from tableformat import create_formatter +import csv + + +def parse_stock_data(lines): + rows = csv.reader(lines) + return rows + + +def select_columns(rows, indices): + # use a list comprehension like generator + return ([row[index] for index in indices] for row in rows) + + +def convert_types(rows, types): + # use a list comprehension like generator + return ([cvt(val) for cvt, val in zip(types, row)] for row in rows) + + +def make_dicts(rows, headers): + # use a list comprehension like generator + return (dict(zip(headers, row)) for row in rows) + + +def filter_symbols(rows, names): + # use a list comprehension like generator + return (row for row in rows if row['name'] in names) + + +def stock_names(filename): + with open(filename, 'rt') as f: + headers = next(f) + rows = csv.reader(f) + return {stock[0] for stock in rows} + + +def print_stocks(rows, colnames, fmt): + formatter = create_formatter(fmt) + cap_colnames = [colname.capitalize() for colname in colnames] + formatter.headings(cap_colnames) + for row in rows: + fields = [str(row[key]) for key in colnames] + formatter.row(fields) + + +def ticker(portfile, logfile, fmt): + colnames = ['name', 'price', 'change'] + names = stock_names(portfile) + lines = follow(logfile) + rows = parse_stock_data(lines) + rows = select_columns(rows, [0, 1, 4]) + rows = convert_types(rows, [str, float, float]) + rows = make_dicts(rows, colnames) + rows = filter_symbols(rows, names) + print_stocks(rows, colnames, 'txt') + + +if __name__ == '__main__': + ticker('Data/portfolio.csv', 'Data/stocklog.csv', create_formatter('txt'))