我有一个这样的列表元组：
tup_list = [('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 21.325), ('UL00628', 6.675), ('UL00628', 22.5), ('UL00628', 5.5), ('UL00628', 15.525), ('UL00628', 12.475), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00428', 28.0), ('UL00428', 28.0), ('UL00428', 28.0), ('UL00428', 28.0), ('UL00428', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00428', 28.0), ('UL00428', 28.0), ('UL00428', 28.0), ('UL00428', 28.0), ('UL00428', 28.0), ('UL00428', 28.0), ('UL00428', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00628', 28.0), ('UL00428-OGA', 28.0)]
我想计算每个元组中的相同项目，如UL00628，UL00428？我可以使用什么迭代？
顺便说一下，tup_list来自excel文件。代码如下：
load_all = dict()
file_name ='***.xls'
wb = xlrd.open_workbook('d:\**%s'%file_name)
table = wb.sheet_by_name('***')
date_start_month= int(input('Pls enter the date of start month:'))
date_start_day= int(input('Pls enter the date of start day:'))
date_end_month= int(input('Pls enter the date of end month:'))
date_end_day = int(input('Pls enter the date of end day:'))
count = 0
tup_list = list()
tup = tuple()
nrows = table.nrows
if table.cell(1, 11).value == '****':
for num in range(2,nrows):
date_of_load = table.cell(num,11).value #this is a date value
#print(date_of_load)
year,month,day,hous,minute,second = xlrd.xldate.xldate_as_tuple(date_of_load,0) # date is a tuple, (y,m,d,h,min,second)
if month in range(date_start_month,date_end_month+1) :# the month is OK?
if day in range(date_start_day, date_end_day+1): # find the day
grade_name = table.cell(num,3).value #grade
grade_num = table.cell(num,5).value #quanlity
tup = (grade_name, grade_num)
tup_list.append(tup)
count +=1
^^^^^^^^^这是原始数据
NO Grade quantity Loadday
9 UL00628 28.0000 2018/2/7
10 UL00628 28.0000 2018/2/7
11 UL00628 28.0000 2018/2/7
12 EVA-OGC 28.0000 2018/2/7
13 EVA-OGC 28.0000 2018/2/7
14 UL00628 28.0000 2018/2/8
15 UL00628 28.0000 2018/2/8
16 UL00628 28.0000 2018/2/19
17 UL00628 28.0000 2018/2/19
18 UL00628 28.0000 2018/2/19
19 UL00628 28.0000 2018/2/19
20 UL00628 28.0000 2018/2/19
21 UL00628 28.0000 2018/2/19
22 UL00628 28.0000 2018/2/19
23 UL00628 28.0000 2018/2/19
24 UL00628 28.0000 2018/2/20
25 UL00628 28.0000 2018/2/20
26 UL00628 28.0000 2018/2/20
27 UL00628 28.0000 2018/2/20
28 UL00628 28.0000 2018/2/20
我需要找出正确的装载日，然后得到等级和数量并计算每个等级。
对于数据修改，特别是涉及Excel或CSV文件，我会使用pandas而不是直接openpyxl
除此之外，一旦你有元组列表，你可以使用defaultdict
from collections import defaultdict
results = defaultdict(list)
for grade, quantity in tup_list:
results[grade].append(quantity)
我会做的其他改变是
int值时处理，dict中，所以如果有一天你从另一个脚本或程序的一部分获得所需数据的输入，你可以轻松地重用这个with语句打开资源pathlib.Path处理文件和文件名if __name__ == "__main__"测试
from collections import defaultdict
from pathlib import Path
import xlrd
def get_int_inputs(questions):
for key, msg in questions.items():
answer = None
while not answer:
try:
answer = int(input(msg))
yield key, answer
except ValueError:
pass
def parse_file(filename, inputs):
with xlrd.open_workbook(filename) as wb:
table = wb.sheet_by_name('***')
if table.cell(1, 11).value == '****':
for num in range(2,nrows):
year, month, day, *_ = xlrd.xldate.xldate_as_tuple(date_of_load, 0)
if not inputs['date_start_month'] < month <= inputs['date_end_month']:
continue
if not inputs['date_start_day'] < day <= inputs['date_end_day']:
continue
grade_name = table.cell(num,3).value
grade_num = table.cell(num,5).value
yield grade_name, grade_num
def aggregate(quantities):
results = defaultdict(list)
for grade_name, grade_num in quantities:
results[grade_name].append(grade_num)
return {grade_name: sum(val) for grade_name, val in results.items()}
if __name__ == '__main__':
wanted_input = {
'date_start_month': 'Pls enter the date of start month:',
'date_start_day': 'Pls enter the date of start day:',
'date_end_month': 'Pls enter the date of end month:',
'date_end_day': 'Pls enter the date of end day:',
}
inputs = dict(get_int_inputs(wanted_input))
filename = Path('D:/' , '***.xls')
quantities = parse_file(filename, inputs)
result = aggregate(quantities)
没有样本数据，我无法测试代码，因此可能充满了错误
另一种方法是使用pandas进行数据处理
然后你会得到类似的东西
from pathlib import Path
import pandas as pd
def parse_data(df, inputs):
if df.columns[11] != '****': # index might be different, depending on whether there is an index-col and 0- or 1-based indexing
return None
dates = df[<date_column_label>]
# or if it needs conversion to datetime
# dates = pd.to_datetime(df[<date_column_label>])
date_correct = dates.dt.month.between(
inputs['date_start_month'],
inputs['date_end_month'] + 1,
inclusive = False,
) & dates.dt.day.between(
inputs['date_start_day'],
inputs['date_end_day'] + 1,
inclusive = False,
)
return df[date_correct].groupby(<grade_name_label>)[<quantity_label>].sum()
if __name__ == '__main__':
wanted_input = {
'date_start_month': 'Pls enter the date of start month:',
'date_start_day': 'Pls enter the date of start day:',
'date_end_month': 'Pls enter the date of end month:',
'date_end_day': 'Pls enter the date of end day:',
}
inputs = dict(get_int_inputs(wanted_input))
filename = Path('D:/' , '***.xls')
df = pd.read_excel(filename, sheet_name='', header=0)
result = parse_data(df)