遍历多个文件以根据其名称合并
Loop over multiple files to merge according their names
我是新来的 python。我有 for 循环功能,给我一个包含 100 个文件的文件夹 "the data inside is numbers and the nuber of raws are the same",如下所示:
A_0.20_1_.txt for example A_0.20_1_ B_0.20_1_
B_0.20_1_.txt 1 4
A_0.20_2_.txt 2 5
B_0.20_2_.txt 3 6
A_0.40_1_.txt
B_0.40_1_.txt
A_0.40_2_.txt
B_0.40_2_.txt
and so on.....
这些文件保存在名为 output 的文件夹中
我需要将输出文件夹中的两个文件合并为一个文件,例如:
merged_A_B_0.20_1_.txt for example merged_A_B_0.20_1_
merged_A_B_0.20_2_.txt 1 4
2 5
merged_A_B_0.40_1_.txt 3 6
merged_A_B_0.40_2_.txt
and so on.....
我尝试使用以下代码:
filename_list = [f for f in os.listdir(r'C:\Users\output\')if os.path.isfile(f)]
columns = []
for filename in filename_list:
f=open(filename)
x = np.array([float(raw) for raw in f.readlines()])
columns.append(x)
columns = np.vstack(columns).T
np.savetxt('filename_out.txt', columns)
但是它不起作用并给我错误
Traceback (most recent call last):
File "<ipython-input-6-5df3067f04e7>", line 1, in <module>
runfile('C:/Users/user/Downloads/combine 2 files new2.py', wdir='C:/Users/user/Downloads')
File "C:\ProgramData\Anaconda3\lib\site-
packages\spyder\utils\site\sitecustomize.py", line 866, in runfile
execfile(filename, namespace)
File "C:\ProgramData\Anaconda3\lib\site-
packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/user/Downloads/combine 2 files new2.py", line 22, in
<module> columns = np.vstack(columns).T
File "C:\ProgramData\Anaconda3\lib\site-
packages\numpy\core\shape_base.py", line 230, in vstack
return _nx.concatenate([atleast_2d(_m) for _m in tup], 0)
ValueError: need at least one array to concatenate
请问有什么帮助吗?
您的代码确实有效,问题是您没有将完整路径传递给 os.path.isfile()
,因此它不会 return True
并且您的文件列表为空
import numpy as np
import os
file_path = r"C:\Users\output"
filename_list = []
for file in os.listdir(file_path):
file = os.path.join(file_path, file)
if os.path.isfile(file):
filename_list.append(file)
columns = []
for filename in filename_list:
with open(filename, 'r') as f:
x = np.array([float(raw) for raw in f.readlines()])
columns.append(x)
columns = np.vstack(columns).T
np.savetxt('filename_out.txt', columns)
这会将所有文件的数据写入一个文件,每个文件一列
我是新来的 python。我有 for 循环功能,给我一个包含 100 个文件的文件夹 "the data inside is numbers and the nuber of raws are the same",如下所示:
A_0.20_1_.txt for example A_0.20_1_ B_0.20_1_
B_0.20_1_.txt 1 4
A_0.20_2_.txt 2 5
B_0.20_2_.txt 3 6
A_0.40_1_.txt
B_0.40_1_.txt
A_0.40_2_.txt
B_0.40_2_.txt
and so on.....
这些文件保存在名为 output 的文件夹中 我需要将输出文件夹中的两个文件合并为一个文件,例如:
merged_A_B_0.20_1_.txt for example merged_A_B_0.20_1_
merged_A_B_0.20_2_.txt 1 4
2 5
merged_A_B_0.40_1_.txt 3 6
merged_A_B_0.40_2_.txt
and so on.....
我尝试使用以下代码:
filename_list = [f for f in os.listdir(r'C:\Users\output\')if os.path.isfile(f)]
columns = []
for filename in filename_list:
f=open(filename)
x = np.array([float(raw) for raw in f.readlines()])
columns.append(x)
columns = np.vstack(columns).T
np.savetxt('filename_out.txt', columns)
但是它不起作用并给我错误
Traceback (most recent call last):
File "<ipython-input-6-5df3067f04e7>", line 1, in <module>
runfile('C:/Users/user/Downloads/combine 2 files new2.py', wdir='C:/Users/user/Downloads')
File "C:\ProgramData\Anaconda3\lib\site-
packages\spyder\utils\site\sitecustomize.py", line 866, in runfile
execfile(filename, namespace)
File "C:\ProgramData\Anaconda3\lib\site-
packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/user/Downloads/combine 2 files new2.py", line 22, in
<module> columns = np.vstack(columns).T
File "C:\ProgramData\Anaconda3\lib\site-
packages\numpy\core\shape_base.py", line 230, in vstack
return _nx.concatenate([atleast_2d(_m) for _m in tup], 0)
ValueError: need at least one array to concatenate
请问有什么帮助吗?
您的代码确实有效,问题是您没有将完整路径传递给 os.path.isfile()
,因此它不会 return True
并且您的文件列表为空
import numpy as np
import os
file_path = r"C:\Users\output"
filename_list = []
for file in os.listdir(file_path):
file = os.path.join(file_path, file)
if os.path.isfile(file):
filename_list.append(file)
columns = []
for filename in filename_list:
with open(filename, 'r') as f:
x = np.array([float(raw) for raw in f.readlines()])
columns.append(x)
columns = np.vstack(columns).T
np.savetxt('filename_out.txt', columns)
这会将所有文件的数据写入一个文件,每个文件一列