从python目录中读取多个csv文件

Question

我无法从目录中读取多个csv文件。

该代码在为第一个文件运行时运行完美，但是在第二个文件上却出现错误。 以下是代码的相关部分。 （但是，对于该问题而言，某些部分是不必要的，我只是将其保留，因此更有意义）：

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

我不确定是什么引起了这个问题。 它似乎不是将函数作为函数读取，而是作为早期的数组读取？ 非常感谢您的任何建议

Answer 1

这很奇怪：

avg_rel_track_nan=avg_rel_track_nan(avg_rel_track)

您可能的意思是：

avg_rel_track_nan=averaged_rel_track_nan(avg_rel_track)

我无法确定发生了什么，因为您的很多代码都依赖于其他代码，但是您正在将（据说）函数调用的结果分配给该函数的名称。 我猜那不是你的本意。

Answer 2

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您从with中返回（而不是关闭文件）