从python中的目录中读取多个csv文件

时间:2013-09-09 14:35:09

标签: python csv

我无法从目录中读取多个csv文件。

代码在第一个文件运行时运行良好,但是我在第二个文件上出错了。以下是相关的代码部分。 (但是对于这个问题,一些是不必要的,我只是把它留在了所以它更有意义):

def get_data(filename):
    '''function to read the data form the input csv file to use in the analysis'''
    with open(filename, 'r') as f:
        reader = csv.reader(f,delimiter=',')                      
        #returns all the data from the csv file in list form
        return list(reader)   

path='C:\Users\AClayton\Desktop\AW189 Data' 
for infile in glob.glob(os.path.join(path, '*.csv')):

    # infile stores the complete path of the file
    print "Current File Being Processed is:  " + infile 
    #use split to seperate the path and name of the file
    (PATH, FILENAME) = os.path.split(infile)
    print " PATH is " + PATH
    print " FILENAME is " + FILENAME
    all_data=[]
    #adds the data from the csv file to a blank list so it can be operated on
    all_data.extend(get_data(infile))
    #Create array so numerical operations may be performed
    arrdata=np.array(all_data)
    current_tracks=establish_current_tacks(arrdata,nb)
    rel_values=relative_track(current_tracks,nb)
    avg_rel_track=averaged_rel_track(navg, rel_values, nb)
    avg_rel_track_nan=avg_rel_track_nan(avg_rel_track)
    sd_rel_track_sum=sd_of_rel_track(navg, rel_values, nb)
    sd_index=sd_index(sd_rel_track_sum)

这是我的错误:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
C:\Users\AClayton\AppData\Local\Enthought\Canopy\App\appdata\canopy-1.0.3.1262.win-x86_64\lib\site-packages\IPython\utils\py3compat.pyc in execfile(fname, glob, loc)
    174             else:
    175                 filename = fname
--> 176             exec compile(scripttext, filename, 'exec') in glob, loc
    177     else:
    178         def execfile(fname, *where):

C:\Users\AClayton\Desktop\currentmethod06_09_2013work-1.py in <module>()
    204     rel_values=relative_track(current_tracks,nb)
    205     avg_rel_track=averaged_rel_track(navg, rel_values, nb)
--> 206     avg_rel_track_nan=avg_rel_track_nan(avg_rel_track)
    207     sd_rel_track_sum=sd_of_rel_track(navg, rel_values, nb)
    208     sd_index=sd_index(sd_rel_track_sum)

TypeError: 'numpy.ndarray' object is not callable

我不确定导致此问题的原因。它似乎不是将函数作为函数读取,而是作为早期的数组? 非常感谢任何建议

2 个答案:

答案 0 :(得分:1)

这很奇怪:

avg_rel_track_nan=avg_rel_track_nan(avg_rel_track)

你可能意味着:

avg_rel_track_nan=averaged_rel_track_nan(avg_rel_track)

我无法确定发生了什么,因为很多代码依赖于其他一些代码,但是您将(假设的)函数调用的结果分配给此函数的名称。我猜这不是你的意思。

答案 1 :(得分:0)

尝试:

def get_data(filename):
    '''function to read the data form the input csv file to use in the analysis'''
    reader = [] # Just in case the file open fails
    with open(filename, 'r') as f:
        reader = csv.reader(f,delimiter=',')                      
        #returns all the data from the csv file in list form
    #f.close() # May need to close the file when done
    return list(reader)  # only return the reader when you have finished.

我认为问题的一部分是你从with,(并没有关闭文件)中返回