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Thread-Shed.py
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211 lines (186 loc) · 8.25 KB
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daily_sales = \
"""Edith Mcbride ;,;$1.21 ;,; white ;,;
09/15/17 ,Herbert Tran ;,; $7.29;,;
white&blue;,; 09/15/17 ,Paul Clarke ;,;$12.52
;,; white&blue ;,; 09/15/17 ,Lucille Caldwell
;,; $5.13 ;,; white ;,; 09/15/17,
Eduardo George ;,;$20.39;,; white&yellow
;,;09/15/17 , Danny Mclaughlin;,;$30.82;,;
purple ;,;09/15/17 ,Stacy Vargas;,; $1.85 ;,;
purple&yellow ;,;09/15/17, Shaun Brock;,;
$17.98;,;purple&yellow ;,; 09/15/17 ,
Erick Harper ;,;$17.41;,; blue ;,; 09/15/17,
Michelle Howell ;,;$28.59;,; blue;,; 09/15/17 ,
Carroll Boyd;,; $14.51;,; purple&blue ;,;
09/15/17 , Teresa Carter ;,; $19.64 ;,;
white;,;09/15/17 , Jacob Kennedy ;,; $11.40
;,; white&red ;,; 09/15/17, Craig Chambers;,;
$8.79 ;,; white&blue&red ;,;09/15/17 , Peggy Bell;,; $8.65 ;,;blue ;,; 09/15/17, Kenneth Cunningham ;,; $10.53;,; green&blue ;,;
09/15/17 , Marvin Morgan;,; $16.49;,;
green&blue&red ;,; 09/15/17 ,Marjorie Russell
;,; $6.55 ;,; green&blue&red;,; 09/15/17 ,
Israel Cummings;,; $11.86 ;,;black;,;
09/15/17, June Doyle ;,; $22.29 ;,;
black&yellow ;,;09/15/17 , Jaime Buchanan ;,;
$8.35;,; white&black&yellow ;,; 09/15/17,
Rhonda Farmer;,;$2.91 ;,; white&black&yellow
;,;09/15/17, Darren Mckenzie ;,;$22.94;,;green
;,;09/15/17,Rufus Malone;,;$4.70 ;,; green&yellow
;,; 09/15/17 ,Hubert Miles;,; $3.59
;,;green&yellow&blue;,; 09/15/17 , Joseph Bridges ;,;$5.66 ;,; green&yellow&purple&blue
;,; 09/15/17 , Sergio Murphy ;,;$17.51 ;,;
black ;,; 09/15/17 , Audrey Ferguson ;,;
$5.54;,;black&blue ;,;09/15/17 ,Edna Williams ;,;
$17.13;,; black&blue;,; 09/15/17, Randy Fleming;,; $21.13 ;,;black ;,;09/15/17 ,Elisa Hart;,; $0.35 ;,; black&purple;,; 09/15/17 ,
Ernesto Hunt ;,; $13.91 ;,; black&purple ;,;
09/15/17, Shannon Chavez ;,;$19.26 ;,;
yellow;,; 09/15/17 , Sammy Cain;,; $5.45;,;
yellow&red ;,;09/15/17 , Steven Reeves ;,;$5.50
;,; yellow;,; 09/15/17, Ruben Jones ;,;
$14.56 ;,; yellow&blue;,;09/15/17 , Essie Hansen;,; $7.33 ;,; yellow&blue&red
;,; 09/15/17 , Rene Hardy ;,; $20.22 ;,;
black ;,; 09/15/17 , Lucy Snyder ;,; $8.67
;,;black&red ;,; 09/15/17 ,Dallas Obrien ;,;
$8.31;,; black&red ;,; 09/15/17, Stacey Payne
;,; $15.70 ;,; white&black&red ;,;09/15/17
, Tanya Cox ;,; $6.74 ;,;yellow ;,;
09/15/17 , Melody Moran ;,; $30.84
;,;yellow&black;,; 09/15/17 , Louise Becker ;,;
$12.31 ;,; green&yellow&black;,; 09/15/17 ,
Ryan Webster;,;$2.94 ;,; yellow ;,; 09/15/17
,Justin Blake ;,; $22.46 ;,;white&yellow ;,;
09/15/17, Beverly Baldwin ;,; $6.60;,;
white&yellow&black ;,;09/15/17 , Dale Brady
;,; $6.27 ;,; yellow ;,;09/15/17 ,Guadalupe Potter ;,;$21.12 ;,; yellow;,; 09/15/17 ,
Desiree Butler ;,;$2.10 ;,;white;,; 09/15/17
,Sonja Barnett ;,; $14.22 ;,;white&black;,;
09/15/17, Angelica Garza;,;$11.60;,;white&black
;,; 09/15/17 , Jamie Welch ;,; $25.27 ;,;
white&black&red ;,;09/15/17 , Rex Hudson
;,;$8.26;,; purple;,; 09/15/17 , Nadine Gibbs
;,; $30.80 ;,; purple&yellow ;,; 09/15/17 ,
Hannah Pratt;,; $22.61 ;,; purple&yellow
;,;09/15/17,Gayle Richards;,;$22.19 ;,;
green&purple&yellow ;,;09/15/17 ,Stanley Holland
;,; $7.47 ;,; red ;,; 09/15/17 , Anna Dean;,;$5.49 ;,; yellow&red ;,; 09/15/17 ,
Terrance Saunders ;,; $23.70 ;,;green&yellow&red
;,; 09/15/17 , Brandi Zimmerman ;,; $26.66 ;,;
red ;,;09/15/17 ,Guadalupe Freeman ;,; $25.95;,;
green&red ;,; 09/15/17 ,Irving Patterson
;,;$19.55 ;,; green&white&red ;,; 09/15/17 ,Karl Ross;,; $15.68;,; white ;,; 09/15/17 , Brandy Cortez ;,;$23.57;,; white&red ;,;09/15/17,
Mamie Riley ;,;$29.32;,; purple;,;09/15/17 ,Mike Thornton ;,; $26.44 ;,; purple ;,; 09/15/17,
Jamie Vaughn ;,; $17.24;,;green ;,; 09/15/17 ,
Noah Day ;,; $8.49 ;,;green ;,;09/15/17
,Josephine Keller ;,;$13.10 ;,;green;,; 09/15/17 , Tracey Wolfe;,;$20.39 ;,; red ;,; 09/15/17 ,
Ignacio Parks;,;$14.70 ;,; white&red ;,;09/15/17
, Beatrice Newman ;,;$22.45 ;,;white&purple&red
;,; 09/15/17, Andre Norris ;,; $28.46 ;,;
red;,; 09/15/17 , Albert Lewis ;,; $23.89;,;
black&red;,; 09/15/17, Javier Bailey ;,;
$24.49 ;,; black&red ;,; 09/15/17 , Everett Lyons ;,;$1.81;,; black&red ;,; 09/15/17 ,
Abraham Maxwell;,; $6.81 ;,;green;,; 09/15/17
, Traci Craig ;,;$0.65;,; green&yellow;,;
09/15/17 , Jeffrey Jenkins ;,;$26.45;,;
green&yellow&blue ;,; 09/15/17, Merle Wilson
;,; $7.69 ;,; purple;,; 09/15/17,Janis Franklin
;,;$8.74 ;,; purple&black ;,;09/15/17 ,
Leonard Guerrero ;,; $1.86 ;,;yellow
;,;09/15/17,Lana Sanchez;,;$14.75 ;,; yellow;,;
09/15/17 ,Donna Ball ;,; $28.10 ;,;
yellow&blue;,; 09/15/17 , Terrell Barber ;,;
$9.91 ;,; green ;,;09/15/17 ,Jody Flores;,;
$16.34 ;,; green ;,; 09/15/17, Daryl Herrera
;,;$27.57;,; white;,; 09/15/17 , Miguel Mcguire;,;$5.25;,; white&blue ;,; 09/15/17 ,
Rogelio Gonzalez;,; $9.51;,; white&black&blue
;,; 09/15/17 , Lora Hammond ;,;$20.56 ;,;
green;,; 09/15/17,Owen Ward;,; $21.64 ;,;
green&yellow;,;09/15/17,Malcolm Morales ;,;
$24.99 ;,; green&yellow&black;,; 09/15/17 ,
Eric Mcdaniel ;,;$29.70;,; green ;,; 09/15/17
,Madeline Estrada;,; $15.52;,;green;,; 09/15/17
, Leticia Manning;,;$15.70 ;,; green&purple;,;
09/15/17 , Mario Wallace ;,; $12.36 ;,;green ;,;
09/15/17,Lewis Glover;,; $13.66 ;,;
green&white;,;09/15/17, Gail Phelps ;,;$30.52
;,; green&white&blue ;,; 09/15/17 , Myrtle Morris
;,; $22.66 ;,; green&white&blue;,;09/15/17"""
#------------------------------------------------
#split strings at given argument, strip out spaces, string index, convert strings to list collection
#1
daily_sales_replaced = daily_sales.replace(';,;', '|')
#2
#print(daily_sales_replaced)
#3
#.split will convert the string collection to a list(array)
daily_transactions = daily_sales_replaced.split(',')
#4
#print(daily_transactions)
#5
daily_transactions_split = []
#6
for transaction in daily_transactions:
daily_transactions_split.append(transaction.split('|'))
#each transaction is split at '|' & appended to an empty daily_transactions_split list
#7
#print(daily_transactions_split)
#8
transactions_clean = [] #this stores the transact_clean list (makes our data a two dimensional list)
#outer for loop is for the whole list
for daily_transact in daily_transactions_split:
transact_clean = [] #for each daily_transact this list is created
#inner loop is for each data point (in each transaction) separated by comma
for data_point in daily_transact:
transact_clean.append(data_point.replace('\n', '').strip(' '))
transactions_clean.append(transact_clean) #check indentation of this line!!!
#9
#print(transactions_clean) #prints all clean transactions (whitespace stripped)
#10
customers = []
sales = []
thread_sold = []
date = []
#11
for transaction_catagory in transactions_clean:
customers.append(transaction_catagory[0])
sales.append(transaction_catagory[1])
thread_sold.append(transaction_catagory[2])
date.append(transaction_catagory[3])
#12
#print(customers)
#print(sales)
#print(thread_sold)
#print(date)
#--------DETERMINE THE TOTAL VALUE OF THE DAYS SALES.---------
#How much "Thread Shed" made in a day
#13
total_sales = 0
#print(type(sales[0])) #class is a STRING type
#14
for sale in sales:
total_sales += float(sale.strip('$')) #N.B. Study the pattern!
#15
#print(total_sales) #Output: 5994.95999...
#--------HOW MUCH THREAD OF ANY SPECIFIC COLOR WAS SOLD?---------
#16
#print(thread_sold)
#17
thread_sold_split = []
#18
for thread in thread_sold: #loops for each sale in thread_sold
for color in thread.split('&'):
thread_sold_split.append(color)
#19
def color_count(color):
color_total = 0
for thread_color in thread_sold_split:
if color == thread_color:
color_total += 1
return color_total #Make sure to step out of loop to get the value
#20
#print(color_count('white'))
#21
colors = ['red','yellow','green','white','black','blue','purple']
#22
for color in colors:
daily_sell = "Thread Shed sold {} threads of {} thread today.".format(color_count(color), color.upper())
print(daily_sell)