Read multiple *.txt files into Pandas Dataframe with filename as column header - python-2.7

Question

I am trying to import a set of *.txt files. I need to import the files into successive columns of a Pandas DataFrame in Python.
Requirements and Background information:
Each file has one column of numbers
No headers are present in the files
Positive and negative integers are possible
The size of all the *.txt files is the same
The columns of the DataFrame must have the name of file (without extension) as the header
The number of files is not known ahead of time
Here is one sample *.txt file. All the others have the same format.
16
54
-314
1
15
4
153
86
4
64
373
3
434
31
93
53
873
43
11
533
46
Here is my attempt:
import pandas as pd
import os
import glob
# Step 1: get a list of all csv files in target directory
my_dir = "C:\\Python27\Files\\"
filelist = []
filesList = []
os.chdir( my_dir )
# Step 2: Build up list of files:
for files in glob.glob("*.txt"):
fileName, fileExtension = os.path.splitext(files)
filelist.append(fileName) #filename without extension
filesList.append(files) #filename with extension
# Step 3: Build up DataFrame:
df = pd.DataFrame()
for ijk in filelist:
frame = pd.read_csv(filesList[ijk])
df = df.append(frame)
print df
Steps 1 and 2 work. I am having problems with step 3. I get the following error message:
Traceback (most recent call last):
File "C:\Python27\TextFile.py", line 26, in <module>
frame = pd.read_csv(filesList[ijk])
TypeError: list indices must be integers, not str
Question:
Is there a better way to load these *.txt files into a Pandas dataframe? Why does read_csv not accept strings for file names?

Answer 1

You can read them into multiple dataframes and concat them together afterwards. Suppose you have two of those files, containing the data shown.
In [6]:
filelist = ['val1.txt', 'val2.txt']
print pd.concat([pd.read_csv(item, names=[item[:-4]]) for item in filelist], axis=1)
val1 val2
0 16 16
1 54 54
2 -314 -314
3 1 1
4 15 15
5 4 4
6 153 153
7 86 86
8 4 4
9 64 64
10 373 373
11 3 3
12 434 434
13 31 31
14 93 93
15 53 53
16 873 873
17 43 43
18 11 11
19 533 533
20 46 46

Answer 2

You're very close. ijk is the filename already, you don't need to access the list:
# Step 3: Build up DataFrame:
df = pd.DataFrame()
for ijk in filelist:
frame = pd.read_csv(ijk)
df = df.append(frame)
print df
In the future, please provide working code exactly as is. You import from pandas import * yet then refer to pandas as pd, implying the import import pandas as pd.
You also want to be careful with variable names. files is actually a single file path, and filelist and filesList have no discernible difference from the variable name. It also seems like a bad idea to keep personal documents in your python directory.