将具有负数的字符串转换为float列表

时间:2019-10-22 17:03:12

标签: python type-conversion

我正在努力将具有数字(其中一些为负)的字符串转换为浮点数列表。

我正在从每行包含许多数字的文件中读取数据。我想列出这些数字的浮点数,以便以后使用它们。我正在努力使负数正确读取。为了使情况更清楚,我在输入文件的每一行上运行一个函数,我希望返回列表中的浮点数。

我尝试过isdigit(),float()和许多正则表达式。到目前为止没有成功。提供的代码显示了我尝试过的一些方法。

def find_float(input):
    temp_list = []
    print("line just now being read is: {} ".format(input))
    #1[DIDN'T WORK] number = re.findall(r"-?\d*\.\d+|\d+", input)
    #2[DIDN'T WORK] number = re.findall("([+-](?=\.?\d))?(\d+)?(\.\d+)", input)
    #3[DIDN'T WORK] number = re.findall(r"[-]?([1-9]{1}[0-9]{0,}(\.[0-9]{0,2})?|0(\.[0-9]{0,2})?|\.[0-9]{1,2})", input)
    #4[DIDN'T WORK] number = re.findall(r"\-?(\d+\.?\d*|\d*\.?\d+)", input)

    #5[DIDN'T WORK]for item in input:
    #                   try: 
    #                  number = float(item) 
    #                  extracted_numbers.append(number)

    print("Found number is: {}".format(number))
    temp_list.append(number) 
    return temp_list

上面所有的正则表达式都省略负号:他们将neagitve数读为正数。其他方法使我完全没有任何负数。

Input_file.txt :(请注意,每行末尾都有空格)

0         8.42           43     -1.5
-259  0.832       
  522                   -32       
                     -3.33       
      12 -3 -45

我希望能够获得每行这样的列表

[0,8.42,43,-1.5]

[-259,0.832]

[522,-32]

[-3.33]

[12,-3,-45]

-提前感谢您的任何建议:)

2 个答案:

答案 0 :(得分:2)

带有示例数据:

with open('Input_file.txt') as f:
  for line in f:
    data = [float(n) for n in line.split()]
    print(data)

输出:

[0.0, 8.42, 43.0, -1.5]
[-259.0, 0.832]
[522.0, -32.0]
[-3.33]
[12.0, -3.0, -45.0]

答案 1 :(得分:0)

尝试一下:

In [1]: with open('test.txt', 'r') as f: 
   ...:     data = f.readlines()

In [2]: results = []

In [3]: for line in data: 
    ...:     entry = [] 
    ...:     for num in line.split(' '): 
    ...:         if num.replace('-', '').strip().isdigit(): 
    ...:             entry.append(int(num)) 
    ...:         else: 
    ...:             try: 
    ...:                 entry.append(float(num)) 
    ...:             except Exception: 
    ...:                 pass 
    ...:     results.append(entry) 

In [4]: results                                                                                                                                                                         
Out[4]: 
[[0, 8.42, 43, -1.5],
 [-259, 0.832],
 [522, -32],
 [-3.33],
 [12, -3, -45]]