Question

我有2个.csv（.tsv）工作表，我将它们加载到数组中。现在，我想通过numpy isclose函数比较这两个数组的每个单元格。

它适用于普通数字，但不适用于我的数组。

with open(filename) as csv_file:
    reader = csv.reader(csv_file, delimiter='\t')
    for row in reader:
        point.append(row[0])

with open(filename2) as csv_file:
    reader = csv.reader(csv_file, delimiter='\t')
    for row in reader:
        point2.append(row[0])

print(numpy.isclose(point,point2, atol=0.01))

错误：

print(numpy.isclose(point,point2, atol=0.01))
  File "C:\Python27\lib\site-packages\numpy\core\numeric.py", line 2306, in isclose
    xfin = isfinite(x)
TypeError: Not implemented for this type

即使我尝试直接从数组中输入数据（例如，point [3]，point2 [3]），我也会出错。

Answer 1

csv.reader读取字符串-您最终得到两个字符串列表。

在阅读这些行时，您可能希望将值转换为float（或者，如果需要更高的精度，则可以使用其他方法）。

with open(filename) as csv_file:
    reader = csv.reader(csv_file, delimiter='\t')
    point1 = [float(row[0]) for row in reader]

with open(filename2) as csv_file:
    reader = csv.reader(csv_file, delimiter='\t')
    point2 = [float(row[0]) for row in reader]

print(numpy.isclose(point1, point2, atol=0.01))

数组的Numpy isclose-TypeError：此类型未实现

1 个答案: