Loop reading csv file problem

[faustineaiden]

Read 1 csv file data code, it works well

import csv
import pandas as pd
import numpy as np
import torch

data = []
fname = 'C:/Users/faustineljc/Desktop/dia0_utt0.csv'  
with open(fname,'r+',encoding='utf-8') as f:
    for line in f.readlines():  
        mfcc = line.split(';')
        data.append(mfcc)
   
print(type(data))
data = np.array(data[0:100])
data = np.delete(data, 0, axis = 0)
data = np.delete(data, 0, axis = 1)
data = np.delete(data, 0, axis = 1)
data = np.array(data, dtype="float64").tolist()
#data type
print(type(data))
#list >>> tensor [sample, T, dimenstion]
mfcc = torch.tensor(data).unsqueeze(1).permute(1,0,2)
print(type(mfcc))
print(mfcc.shape)
print(mfcc)

however, An error occurs when operating on the data in the entire folder. It only read one file data.
the coding as follows:

import csv
import pandas as pd
import numpy as np
import os
import torch

csv_path_train = 'C:/Users/faustineljc/Desktop/d'
csv_files_train = os.listdir(csv_path_train)
csv_files_train.sort(key=lambda x: (int(x.split('_')[0][3:]), int(x.split('_')[1][3:-4])))
print(csv_files_train)

data = []
mfcc = []
for csv_file in csv_files_train:
    with open(csv_path_train + '/' + csv_file) as f:
        for line in f.readlines(): 
            mfcc = line.split(';')
            data.append(mfcc)
            
         
data = np.array(data[1:100])
data = np.delete(data, 0, axis=1)
data = np.delete(data, 0, axis=1)
data = np.array(data, dtype="float64").tolist()

mfcc = torch.tensor(data)
mfcc = mfcc.unsqueeze(1)
mfcc = mfcc.permute(1,0,2)

print(type(mfcc))
print(mfcc.shape)
print(mfcc)

Larz60+ write Dec-10-2021, 11:17 PM:
Please post all code, output and errors (it it's entirety) between their respective tags. Refer to BBCode help topic on how to post. Use the "Preview Post" button to make sure the code is presented as you expect before hitting the "Post Reply/Thread" button.
Fixed for you this time. Please use bbcode tags on future posts.

[ibreeden]

You forgot to show us the error. Please show the complete error message and use the correct tags as Larz60+ wrote.