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下面顯示的代碼正在輸出我CSV文件中的所有內容。這不是假設要這樣做。相反,目標是匹配Year
和data_location
,最終打印該行中的信息。代碼輸出不正確
Example if I input:
Year=1
data_location=1
-
Desired OUTPUT should be: Bus #:126688 Area Station:B New Load:125
Bus #:126695 Area Station:m New Load:85
Bus #:126696 Area Station:O New Load:77
-
import csv
LOAD_GEN_DATAFILE = 'C:\Users\RoszkowskiM\Desktop\Data_2017.csv' # CSV File to Read
# read the entire CSV into Python.
# CSV has columns starting with Year,busnum,busname,scaled_power,tla,location
# read the entire CSV into Python.
# CSV has columns starting with Year,busnum,busname,scaled_power,tla,location
year = raw_input("Please Select Year of Study: ")
location=raw_input(" \n The list above show the TLA Pockets as well as the ID numbers assigned to them()\n\n Please enter the ID #: ")
Year=year
data_location=location
data = list(csv.reader(open(LOAD_GEN_DATAFILE)))
mydict = {}
for row in data:
Year,busnum,busname,scaled_power,tla,data_location,empty,year_link,from_,to,digit,name2,tla_2,min_value,max_value,last_bus = row[0:16]
#If this is a year not seen before, add it to the dictionary
if Year not in mydict:
mydict[Year] = {}
busses_in_year = mydict[Year]
if data_location not in busses_in_year:
busses_in_year[data_location] = []
#Add the bus to the list of busses that stop at this location
busses_in_year[data_location].append((busnum,busname,scaled_power))
if Year in mydict and data_location in mydict[Year]:
busses_in_year = mydict[Year]
#print("Here are all the busses at that location for that year and the new LOAD TOTAL: ")
#print("\n")
#Busnum, busname,scaled_power read from excel sheet matching year and location
for busnum,busname,scaled_power in busses_in_year[data_location]:
scaled_power= float(scaled_power)
busnum = int(busnum)
output='Bus #: {}\t Area Station: {}\t New Load Total: {} MW\t'
print(output.format(busnum,busname,scaled_power))
else:
exit
os.remove(LOAD_GEN_DATAFILE)
我不熟悉'set default'。你能舉一個例子說明如何將它應用到我的代碼中。 –
這是否解決了您的問題? –
其實現在沒有什麼東西在輸出 –