将列表转换为类字段的pythonic方法

Question

Is there a more pythonic way to distribute the content of multiple lists into fields in multiple structures? Example below using pandas.dataframe

import pandas

# INPUT
files = ['file1.csv','file2.csv','file3.csv','file4.csv', 'file5.csv']
names = ['Cold', 'Hot','Hotter','Hottest','Hottestest']
lines = ['-','-',':','-',':']
colors = ['b','r','r','y','y']
marker = ['','','','o','']

cases = []
for idx,case in enumerate(files):
  cases.append(pandas.read_csv(fname))
  cases[idx].name   = names[idx]
  cases[idx].color  = colors[idx]
  cases[idx].marker = marker[idx]
  cases[idx].lines  = lines[idx]

Answer 1

EDIT: Using Adrian's answer we can simplify this using assign and **kwargs :

import pandas

# INPUT
file_map = {
    'file1.csv': {
        'name': 'Cold',
        'lines': '-',
        'colors': 'b',
        'marker': ''
    },
    # ...etc...
}

cases = []
for filename, attrs in file_map.iteritems():
    cases.append(pandas.read_csv(filename).assign(**attrs))

---

OLD ANSWER:

Seems like a dict of dicts would be better.

import pandas

# INPUT
file_map = {
    'file1.csv': {
        'name': 'Cold',
        'lines': '-',
        'colors': 'b',
        'marker': ''
    },
    # ...etc...
}

cases = []
for filename, attrs in file_map.iteritems():
  case = pandas.read_csv(filename)
  for attr, value in attrs.iteritems():
      setattr(case, attr, value)
  cases.append(case)

You could also potentially make the submaps class or collections.namedtuple instances if you wanted to be more strict about it.

Answer 2

Your code seems good enough to me. But if you want to avoid those assignments at the bottom, try this:

import pandas

# INPUT
files = ['file1.csv','file2.csv','file3.csv','file4.csv', 'file5.csv']
names = ['Cold', 'Hot','Hotter','Hottest','Hottestest']
lines = ['-','-',':','-',':']
colors = ['b','r','r','y','y']
marker = ['','','','o','']

cases = [
    pandas.read_csv(fname)
          .assign(name=names[idx],
                  color=colors[idx],
                  marker=marker[idx],
                  lines=lines[idx])
    for idx,case in enumerate(files)
]