根据包维度：Height，Length，Width和Weight，我创建了3个包类别：Letter，{ {1}}和Parcel-Small。这是python中的代码：
Parcel-Large正如所见，这些维度值是硬编码的。我想从文本文件中获取输入（def category(row):
if(row['Height'] <=0.98 and row['Length'] <= 9.84
and row['Width'] <= 13.89 and row['WEIGHT'] <= 1.65):
val = 'Letter'
elif(row['Height'] <=6.29 and row['Length'] <= 13.77
and row['Width'] <= 17.71 and row['WEIGHT'] <= 4.4):
val = 'Parcel-Small'
elif(row['Height'] <=6.29 and row['Length'] <= 13.77
and row['Width'] <= 17.71 and row['WEIGHT'] <= 4.4):
val = 'Parcel-Large'
return val
，Package Category，Height，Length和Width），格式如下：< / p>
Weight它应该读取用户指定的多个类别，代码应该是这样的：
Package Category : Height, Length, Width, Weight
Small:2,3,4,10
Medium:3,5,7,15
Large:5,7,9,20
有人可以为上面给出的伪代码提供实际代码吗？
答案 0 :(得分：0)
使用小循环，您可以将该文件解析为list dicts之类的... {/ p>
package_types = []
with open('file1', 'rU') as f:
header = next(f)
columns = [x.strip() for x in header.split(':')[1].split(',')]
for line in f:
name, data = line.split(':')
package_types.append(dict(zip(columns,
[float(x) for x in data.split(',')])))
package_types[-1]['type'] = name
for package_type in package_types:
print(package_type)
# if package_type['Height'] <= Height and not ...
{'Width': 4.0, 'Length': 3.0, 'type': 'Small', 'Weight': 10.0, 'Height': 2.0}
{'Width': 7.0, 'Length': 5.0, 'type': 'Medium', 'Weight': 15.0, 'Height': 3.0}
{'Width': 9.0, 'Length': 7.0, 'type': 'Large', 'Weight': 20.0, 'Height': 5.0}
答案 1 :(得分：0)
这是我的解决方案：
Letter : 0.98, 9.84, 13.89, 1.65
Parcel-Small : 3.63, 11.80, 15.80, 3.02
Parcel-Large : 6.29, 13.77, 17.71, 4.4
def parse_file(f):
categories = [] # Create empty list
for line in f:
line = line.strip() # Remove leading and trailing spaces
name, tail = line.split(':') # Separate the name of the category from its specifications
height, length, width, weight = tail.split(',') # Separate each specification
# Convert each specification to a number (float) and put them all in a dictionary
specs = {'height': float(height),
'length': float(length),
'width': float(width),
'weight': float(weight)}
categories.append((name, specs)) # Append the name and the specifications to a list
return categories
with open('categories.txt', 'r') as f:
categories = parse_file(f)
def category(height, length, width, weight):
for name, specs in categories:
if height <= specs['height'] and length <= specs['length'] and width <= specs['width'] and weight <= specs['weight']:
return name
print category(3, 11, 15, 3)
Parcel-Small
答案 2 :(得分：0)
您为包类别定义文件选择的格式有点难以解析它几乎一个csv格式文件，但不完全（它使用多个分隔符和放置其中的空格不一致）。也就是说，这里有处理它的东西，并按照你想要的处理进行处理：
import csv
from collections import namedtuple
def as_csv(filename):
""" Make configuration file look like it's in csv format. """
with open(filename, newline='') as file: # in Python 2 change newline='' to mode='rb'
next(file) # ignore first row
for line in file:
yield line.replace(':', ',')
PackageSpec = namedtuple('PackageSpec', 'category, height, length, width, weight')
DATA_TYPES = str, float, float, float, float
package_specs = [PackageSpec(*(datatype(val) for (datatype, val) in zip(DATA_TYPES, data)))
for data in csv.reader(as_csv('package_categories.txt'))]
def category(row):
for spec in package_specs:
if(row['Height'] <= spec.height and row['Length'] <= spec.length
and row['Width'] <= spec.width and row['Weight'] <= spec.weight):
return spec.category
sample_row = dict(Height=3, Length=5, Width=7, Weight=15)
print(category(sample_row)) # -> Medium
答案 3 :(得分：-1)
好的，我确定发布一个不完整的答案可能是不好的形式，但这确实是找出他所寻找内容的唯一方法。
我们仍然需要知道您使用哪种文件格式作为类别列表和包列表。
# This is the list of actual packages you're trying to categorize
# Codes not ready yet, we still need to open whatever kind of file
# You plan to use
list_of_real_packages = "CSV File?"
# This assumes categories are ordered smallest to largest
# We need to parse a real file, I'm just showing what it might look
# like based on your example
sample_categories_spreadsheet = [
{
'name': 'letter',
'height': 0.98,
'length': 9.84,
'width': 13.89,
'weight': 1.65
},
{
'name': 'parcel-small',
'height': 6.29,
'length': 13.77,
'width': 17.71,
'weight': 4.4
},
{
'name': 'parcel-large',
'height': 12.00,
'length': 20.00,
'width': 25.00,
'weight': 10
},
]
def get_category_per_package_in_list(list_or_file_with_real_package_dimensions):
package_number = 1
package_list_with_categories = []
# Check each package to see if it meets current categories criteria
# Smallest to largest, because a small package will meet multiple criteria
for package in list_or_file_with_real_package_dimensions:
current_package = {}
current_package['package_id'] = package_number,
current_package['height'] = package['height'],
current_package['length'] = package['length'],
current_package['width'] = package['width'],
current_package['weight'] = package['weight'],
for catagory in sample_categories_spreadsheet:
if package['height'] <= category['height']:
if package['length'] <= category['length']:
if package['width'] <= category['width']:
if package['weight'] <= category['weight']:
current_package['category'] = category['name']
# It's possible there is a very long skinny package that doesn't meet
# any criteria, so we'll give it a category so we can look into it
# after we sort the more standard packages
else:
current_package['category'] = 'Outside range of given categories'
package_list_with_categories.append(new_package)
return package_list_with_categories
list_of_packages = get_category_per_package_in_list()