你应该使用csv模块：

import csv

results = []
with open("input.csv") as csvfile:
    reader = csv.reader(csvfile, quoting=csv.QUOTE_NONNUMERIC) # change contents to floats
    for row in reader: # each row is a list
        results.append(row)

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这给出了：

[[0.000264, 0.000352, 8.7e-05, 0.000549], 
[0.00016, 0.000223, 1.1e-05, 0.000142], 
[0.008853, 0.006519, 0.002043, 0.009819], 
[0.002076, 0.001686, 0.000959, 0.003107], 
[0.000599, 0.000133, 0.000113, 0.000466], 
[0.002264, 0.001927, 0.00079, 0.003815], 
[0.002761, 0.00288, 0.001261, 0.006851], 
[0.000723, 0.000617, 0.000794, 0.002189]]

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如果您的文件不包含括号

with open('input.csv') as f:
    output = [float(s) for line in f.readlines() for s in line[:-1].split(',')]
print(output)

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创建csv模块就是为了完成这个任务。下面的模块实现直接取自Python docs。

import csv 
with open('file.csv','rb') as csvfile: 
    reader = csv.reader(csvfile, delimiter=',', quotechar='|') 
    for row in reader:
        #add data to list or other data structure

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空格是分隔数据条目的字符，引号是引号。

为了更广泛的使用：

#!/usr/bin/env python3

from pprint import pprint

result = []
delim=','
rows=0

for line in open("input_file.csv"):
    line=line.strip()
    row=line.split(delim)
    result.append(row)
    rows=rows+1

cols=len(row)

pprint(result)
print('rows: '+str(rows))
print('cols: '+str(cols))

# you get array of rows consisting of array of columns, all text

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或者如果你想要整数：

#!/usr/bin/env python3

from pprint import pprint

result = []
delim=','
rows=0

for line in open("input_file.csv"):
    line=line.strip()
    row=line.split(delim)
    newrow=[]
    for col in row:
        newrow.append(int(col))
    result.append(newrow)
    rows=rows+1

cols=len(row)

pprint(result)
print('rows: '+str(rows))
print('cols: '+str(cols))

# you get array of rows consisting of array of columns, all integers

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只需将int(col)更改为float(col)即可获得浮点数。
你应该得到：

[[0.000264, 0.000352, 8.7e-05, 0.000549],
 [0.00016, 0.000223, 1.1e-05, 0.000142],
 [0.008853, 0.006519, 0.002043, 0.009819],
 [0.002076, 0.001686, 0.000959, 0.003107],
 [0.000599, 0.000133, 0.000113, 0.000466],
 [0.002264, 0.001927, 0.00079, 0.003815],
 [0.002761, 0.00288, 0.001261, 0.006851],
 [0.000723, 0.000617, 0.000794, 0.002189]]
rows: 8
cols: 4

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