Numpy - ValueError:无法使用序列设置数组元素

时间:2013-01-31 21:08:42

标签: python csv numpy

所以,我编写了一个小测试代码,用于计算文件夹中所有csv文件的平均值。

parser = argparse.ArgumentParser(description='avg data from csv to csv')
parser.add_argument('--input', required = True)
parser.add_argument('--output', required = True)
args = parser.parse_args()

# Get command arguments
input_files_path = args.input
output = args.output

avg = []
for infile in glob.glob(input_files_path+"*.csv"):
        a = np.loadtxt(infile, delimiter=",")
        mean = np.mean(a, axis=0)
        avg.append((mean))
        print infile
np.savetxt(output,(avg), fmt = "%.1f", delimiter=", ")

但现在问题是,当我试图在csv文件中保存文件名时,如下所示:

parser = argparse.ArgumentParser(description='avg data from csv to csv')
parser.add_argument('--input', required = True)
parser.add_argument('--output', required = True)
args = parser.parse_args()

# Get command arguments
input_files_path = args.input
output = args.output

avg = []
for infile in glob.glob(input_files_path+"*.csv"):
        a = np.loadtxt(infile, delimiter=",")
        mean = np.mean(a, axis=0)
        avg.append((infile,(mean)))
        print infile
np.savetxt(output,(avg), fmt = "%.1f", delimiter=", ")

它会抛出错误:

    np.savetxt(output,(avg), fmt = "%.1f", delimiter=", ")
  File "/usr/lib/python2.7/dist-packages/numpy/lib/npyio.py", line 963, in savetxt
    X = np.asarray(X)
  File "/usr/lib/python2.7/dist-packages/numpy/core/numeric.py", line 235, in asarray
    return array(a, dtype, copy=False, order=order)
ValueError: cannot set an array element with a sequence

我似乎不明白这是什么问题。也许是因为我试图将字符串附加到浮点数?我检查了fmt s numpy ..但我没有找到任何有趣的东西。

/usr/lib/python2.7/dist-packages/numpy/lib/npyio.py:773: UserWarning: loadtxt: Empty input file: "../robalo-31.1/op.csv"
  warnings.warn('loadtxt: Empty input file: "%s"' % fname)
/usr/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2374: RuntimeWarning: invalid value encountered in double_scalars
  return mean(axis, dtype, out)

1 个答案:

答案 0 :(得分:1)

我猜你使用np.savetxt提供的格式字符存在问题。 (你有一个字符串浮点元组,你的分隔符意味着你只使用浮点数)。我建议csv代替:

>>> import csv
>>> import StringIO
>>> g = StringIO.StringIO()
>>> writer = csv.writer(g,delimiter=',')  #this is the part that is applicable
>>> writer.writerows(lst)
>>> g.seek(0)
>>> print g.read()
foo,2
bar,4

所以我猜你的代码可能很简单:

with open(output,'wb') as fout:
    writer = csv.writer(fout,delimiter=',') 
    writer.writerows(avg)

而不是

np.savetxt(output,(avg), fmt = "%.1f", delimiter=", ")