Question

嘿伙计们，所以我设置了两个词典，它们具有相同的键但两者的值都不同。我试图让代码像这样打印出来

Digit     Count     % 
1         
2
3
4
5
6
7
8
9

count是countList，％是numFreq值，它们的数字也分别在Count和％中下降。

好的，所以数据文件看起来像这样（只做一些数字，因为文件非常大

Census Data
Alabama Winfield    4534
Alabama Woodland    208
Alabama Woodstock   1081
Alabama Woodville   743
Alabama Yellow Bluff    175
Alabama York    2477
Alaska  Adak    361

计数是该数字的第一个数字的出现次数。我基本上将每一行转换为一个列表，并将列表的最后一个值（数字）附加到一个新列表中。那么我做了一次计数，看出1,2,3,4,5,6,7,8,9出现多少次。这就是countList所代表的。所以我将它存储在字典中，其中键是数字，计数是值。％是计数的相对频率。所以我设置了一个新的列表并计算了相对频率，它基本上是计数+所有计数的总和，并将其四舍五入为一位数。％列具有每个数字的相对计数。我把它放入字典中，其中键是数字1,2,3,4,5,6,7,8,9。所以现在我只需要将这些数字打印到3列中，

到目前为止，这是我的代码

def main():
  num_freq = {}
  pop_num = []
  inFile = open ("Census__2008.txt", "r")
  count = 0
  for line in inFile:
    if (count == 0):
      count += 1
      continue
    else:
      count += 1
      line = line.strip()
      word_list = line.split()
      pop_num.append (word_list[-1])
  counts = {}
  for x in pop_num:
    k = str(x)[0]
    counts.setdefault(k, 0)
    counts[k] += 1
  countList = [counts[str(i)] for i in range(1,10)]
  sumList = sum(countList)

  dictCount = {}
  dictCount[1] = countList[0]
  dictCount[2] = countList[1]
  dictCount[3] = countList[2]
  dictCount[4] = countList[3]
  dictCount[5] = countList[4]
  dictCount[6] = countList[5]
  dictCount[7] = countList[6]
  dictCount[8] = countList[7]
  dictCount[9] = countList[8]
  num_Freq = []
  for elm in countList:
    rel_Freq = 0
    rel_Freq = rel_Freq + ((elm / sumList) * 100.0)
    rel_Freq = round(rel_Freq, 1)
    num_Freq.append(rel_Freq)
  freqCount = {}
  freqCount[1] = num_Freq[0]
  freqCount[2] = num_Freq[1]
  freqCount[3] = num_Freq[2]
  freqCount[4] = num_Freq[3]
  freqCount[5] = num_Freq[4]
  freqCount[6] = num_Freq[5]
  freqCount[7] = num_Freq[6]
  freqCount[8] = num_Freq[7]
  freqCount[9] = num_Freq[8]

  print ("Digit" "  ", "Count", "   ", "%")
  print (

main()

Answer 1

使用您的代码，您只需要：

for i in range(1, 10):
    print (i, dictCount[i], freqCount[i])

但你可以简化它：

import collections

data = []

with open("Census__2008.txt") as fh:
    fh.readline()    # skip first line
    for line in fh:
        value = line.split()[-1]
        data.append(value)

c = collections.Counter([x[0] for x in data])
total = sum(c.values())
print("Digit", "Count", "%")
for k, v in sorted(c.iteritems()):
    freq = v / total * 100
    round_freq = round(freq, 1)
    print(k, v, round_freq)

如何在3列中打印2个词典

1 个答案: