problem loading winwcp file

[patriciorojasm]

Hi
I normally load WinWCP files, with no problem. But this year I installed anaconda in win 7, win 11 and linux mint, and raises an error in date format.
Any idea how to fix this? I dont know if the problem is with winwcp , Anaconda or Neo.
The problem happens in Visual Code in win 7 and win 11.
The minimal code is below, and also the long error output.

file_name = "251112_030.wcp" #   list_baselines_2[0]
r_5pb = io.WinWcpIO(filename=file_name)
bl_5pb = r_5pb.read_block(lazy = False)  #blks = reader.read(lazy=False)
np_time_5pb = bl_5pb.segments[0].analogsignals[0].times.rescale('ms').magnitude

Environment:

• OS: Linux Mint , Windows 7, Windows 11
• Python version
• Neo version
• NumPy version

Output:

ValueError                                Traceback (most recent call last)
Cell In[8], line 2
      1 file_name = "251112_030.wcp" #   list_baselines_2[0]
----> 2 r_5pb = io.WinWcpIO(filename=file_name)
      3 bl_5pb = r_5pb.read_block(lazy = False)  #blks = reader.read(lazy=False)
      4 np_time_5pb = bl_5pb.segments[0].analogsignals[0].times.rescale('ms').magnitude

File [~/anaconda3/lib/python3.13/site-packages/neo/io/winwcpio.py:18](http://localhost:8888/lab/tree/Carla%20datos/Trenes%20Experimentos/12_11_25/~/anaconda3/lib/python3.13/site-packages/neo/io/winwcpio.py#line=17), in WinWcpIO.__init__(self, filename)
     16 def __init__(self, filename):
     17     WinWcpRawIO.__init__(self, filename=filename)
---> 18     BaseFromRaw.__init__(self, filename)

File [~/anaconda3/lib/python3.13/site-packages/neo/io/basefromrawio.py:77](http://localhost:8888/lab/tree/Carla%20datos/Trenes%20Experimentos/12_11_25/~/anaconda3/lib/python3.13/site-packages/neo/io/basefromrawio.py#line=76), in BaseFromRaw.__init__(self, *args, **kargs)
     75 def __init__(self, *args, **kargs):
     76     BaseIO.__init__(self, *args, **kargs)
---> 77     self.parse_header()

File [~/anaconda3/lib/python3.13/site-packages/neo/rawio/baserawio.py:211](http://localhost:8888/lab/tree/Carla%20datos/Trenes%20Experimentos/12_11_25/~/anaconda3/lib/python3.13/site-packages/neo/rawio/baserawio.py#line=210), in BaseRawIO.parse_header(self)
    197 """
    198 Parses the header of the file(s) to allow for faster computations
    199 for all other functions
    200 
    201 """
    202 # this must create
    203 # self.header['nb_block']
    204 # self.header['nb_segment']
   (...)    208 # self.header['spike_channels']
    209 # self.header['event_channels']
--> 211 self._parse_header()
    212 self._check_stream_signal_channel_characteristics()
    213 self.is_header_parsed = True

File [~/anaconda3/lib/python3.13/site-packages/neo/rawio/winwcprawio.py:88](http://localhost:8888/lab/tree/Carla%20datos/Trenes%20Experimentos/12_11_25/~/anaconda3/lib/python3.13/site-packages/neo/rawio/winwcprawio.py#line=87), in WinWcpRawIO._parse_header(self)
     86 # get rec_datetime when WCP data file version is later than 8
     87 if header["VER"] > 8:
---> 88     rec_datetime = datetime.datetime.strptime(header["RTIME"], "%d[/](http://localhost:8888/)%m[/](http://localhost:8888/)%Y %H:%M:%S")
     89 else:
     90     rec_datetime = None

File [~/anaconda3/lib/python3.13/_strptime.py:789](http://localhost:8888/lab/tree/Carla%20datos/Trenes%20Experimentos/12_11_25/~/anaconda3/lib/python3.13/_strptime.py#line=788), in _strptime_datetime(cls, data_string, format)
    786 def _strptime_datetime(cls, data_string, format="%a %b %d %H:%M:%S %Y"):
    787     """Return a class cls instance based on the input string and the
    788     format string."""
--> 789     tt, fraction, gmtoff_fraction = _strptime(data_string, format)
    790     tzname, gmtoff = tt[-2:]
    791     args = tt[:6] + (fraction,)

File [~/anaconda3/lib/python3.13/_strptime.py:555](http://localhost:8888/lab/tree/Carla%20datos/Trenes%20Experimentos/12_11_25/~/anaconda3/lib/python3.13/_strptime.py#line=554), in _strptime(data_string, format)
    553 found = format_regex.match(data_string)
    554 if not found:
--> 555     raise ValueError("time data %r does not match format %r" %
    556                      (data_string, format))
    557 if len(data_string) != found.end():
    558     raise ValueError("unconverted data remains: %s" %
    559                       data_string[found.end():])

ValueError: time data '21:35:56.41' does not match format '%d[/](http://localhost:8888/)%m[/](http://localhost:8888/)%Y %H:%M:%S'

#file_name = "251112_030.wcp" # list_baselines_2[0]
"""
r_5pb = io.WinWcpIO(filename=file_name)
bl_5pb = r_5pb.read_block(lazy = False) #blks = reader.read(lazy=False)
np_time_5pb = bl_5pb.segments[0].analogsignals[0].times.rescale('ms').magnitude
dat_r_5pb = bl_5pb.segments[0].analogsignals[0][:,2].rescale('mV').magnitude
dat_r_5pb = dat_r_5pb.ravel()
dat_f_5pb = signal.filtfilt(b,a,dat_r_5pb)
n_rec=np.size(bl_5pb.segments)"""
#fc =2000; w = fc /(20000/2); b, a = signal.bessel(8,w,"low") #, analog="True")
f5, ax = plt.subplots(1,4, figsize=(16,4))
#np_time_5pp = bl_5pb.segments[0].analogsignals[0].times.rescale('ms').magnitude
slp5b, slp5pb = [],[]
x1,x2,x3,x4 = 10,30,60,73 # tiempos para biscar el P1 (x1,x2) y el P2(x3,x4)
l = np.argmin(np.abs(np_time_5pp- x1)); m = np.argmin(np.abs(np_time_5pp- x2))
j = np.argmin(np.abs(np_time_5pp- x3)); k = np.argmin(np.abs(np_time_5pp- x4))
for i in range(n_rec):
dat_5pb = bl_5pb.segments[i].analogsignals[0][:,2].rescale('mV').magnitude
dat_5pb = dat_5pb.ravel()
dat = signal.filtfilt(b,a,dat_5pb)
ax[0].plot(np_time_5pb, dat, label=i) #ax[0].plot(np_time_5pp, dat_5pp, label=i)
ax[1].plot(np_time_5pb, dat, label=i)
#----find neg peaks------
peaksp_5b, _ = find_peaks(-dat[l:m], height=.05, distance =100)
i_p = np.argmin( dat [ peaksp_5b +l ]) #print(i, peaksp_5b +l, dat_f_5pb [ peaksp_5b +l ])
#pp5b.append(dat_f_5pb[peaksp_5b[i_p]+l]) # [0]
ax[0].plot(np_time_5pb[peaksp_5b[i_p]+l],dat[peaksp_5b[i_p]+l],"or") # [0]
#---- baseline ----
base = np.mean(dat[0:150])
dat = dat - base
amp = dat[peaksp_5b[i_p]+l] - base
thr_20 = .2amp; thr_80 = .8amp
#i_20 = np.where(dat_f_5pb >= thr_20)[0] ; idx_20 = i_20[0]
#i_80 = np.where(dat_f_5pb >= thr_80)[0] ; idx_80 = i_80[0]
idx20 = np.interp(thr_20, dat, np.arange(len(dat)))
idx80 = np.interp(thr_80, dat, np.arange(len(dat)))

# Calculate rise (y-axis) and run (x-axis)
rise = thr_80 - thr_20
run = (idx80 - idx20) * (np_time_5pb[1] - np_time_5pb[0]) # Assuming uniform time sampling

slope = rise / run
print(i, slope)

"""
peaksp_5_pb, _ = find_peaks(-dat_f_5pb[j:k], height=.05, distance =100)    
i_p = np.argmin( dat_f_5pb [ peaksp_5_pb +j ])
pp5pb.append(dat_f_5pb[peaksp_5_pb[i_p]+j]) # [0]
ax[1].plot(np_time_5pb[peaksp_5_pb[i_p] +j],dat_f_5pb[peaksp_5_pb[i_p] +j],"ob")  # [0]  

pp5b = np.asarray((pp5b))
pp5pb = np.asarray((pp5pb))

ax[0].set_ylabel("Peak 1 (mV)"); ax[1].set_ylabel("Peak 2 (mV)");
ax[0].set_xlabel("Time (ms)");ax[1].set_xlabel("Time (ms)");
ax[2].plot(-pp5b, "ro-", mec="r", mfc="w", ms=8, label="1st")
ax[2].plot(-pp5pb, "bo-", mec="b", mfc="w", ms=8, label="2nd")
ax[2].legend()
ax[2].set_xlabel("Pulse number"); ax[2].set_ylabel("Peak voltage (mV)")
p5b_rat = pp5pb/pp5b
ax[3].plot(p5b_rat, "ko-", mec="k", mfc="w", ms=8)
ax[3].set_xlabel("Pulse number"); ax[3].set_ylabel("PPR")
ax[3].axhline(1, ls="--", color="gray")

ax[0].axvline(np_time_5pb[l], ls="--", color="gray")
ax[0].axvline(np_time_5pb[m], ls="--", color="gray")
ax[1].axvline(np_time_5pb[j], ls="--", color="gray")
ax[1].axvline(np_time_5pb[k], ls="--", color="gray")
"""
ax[0].set_ylim(-.6,.3); ax[0].set_xlim(5,30); #ax[0].legend()
ax[1].set_ylim(-.6,.3); ax[1].set_xlim(55,92); #ax[1].legend()

plt.tight_layout()
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Python 3 (ipykernel) | Idle
Mode: Command
Ln 2, Col 40
251112_slice_2_time course PPR.ipynb
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[zm711]

@patriciorojasm Thanks for the report. I reformatted the error trace to make it easier to read, but could you reformat the rest of your issue so I can parse it in code. From the error trace it seems like the time format is not formatted correctly anymore. If this worked before then I would guess it is a change more recent. Few questions to start with:

What version of python and neo are you using?
Have you opened this same file in the past?
Has there been a format update we need to work on?
Could you share the file with us? Either here with a link or private via email?

[patriciorojasm]

Hi Zach
Thanks a lot. Below are my answers.
And yes, it looks like a time format error.
What do you mean by I reformatted the error trace to make it easier to read, but could you reformat the rest of your issue so I can parse it in code.? Do you want me to put the error code in code format?

What version of python and neo are you using?
Name: neo Version: 0.14.3

Python 3.13.9

Have you opened this same file in the past?
Yes, in a computer with older versions of neo and python
Name: neo Version: 0.11.1
Python 3.8.5

Has there been a format update we need to work on?
Not sure, but we are using Winwcp 5.8.3 and in the past 5.1.6 and older

Could you share the file with us? Either here with a link or private via email?
Here is the link
https://drive.google.com/file/d/1hCTmd5R2B3NLxsjyjfkdAlAjQIlxWf5S/view?usp=sharing

Thanks a lot

Patricio

[zm711]

Thanks for all that info. Could I ask for one other favor. Could you try numpy 14.3 with python 3.10 or 3.11? It would be helpful to know if something changed recently with python that we may be missing in our current testing.

What do you mean by I reformatted the error trace to make it easier to read, but could you reformat the rest of your issue so I can parse it in code.? Do you want me to put the error code in code format?

Sorry I wasn't being clear. I just meant whenever you have any code use the ticks with python like this:

sample code

Just to make it easier to read. You had some code in the ticks and some in plain text. It's not super crucial just easier on the eyes :)

I do promise I will try to work on this soon. I'm currently working shifts in the hospital so have minimal coding time, but this is on my todo list. The only other issue is that my personal computer is a Mac, so if this ends up being a windows issue it might also take me a little longer to get my hands on Windows machine to test this on. I'll see what I can do!