I am trying to convert a csv file to pandas df. The data is of the following type (SROIE dataset) (this is just a small part of total file):
76,50,323,50,323,84,76,84,TAN WOON YANN
110,165,315,165,315,188,110,188,INDAH GIFT & HOME DECO
126,191,297,191,297,214,126,214,27,JALAN DEDAP 13,
129,218,287,218,287,236,129,236,TAMAN JOHOR JAYA,
100,243,324,243,324,261,100,261,81100 JOHOR BAHRU,JOHOR.
70,268,201,268,201,285,70,285,TEL:07-3507405
THE ISSUE LIES ONLY IN THE LAST COLUMN, WHICH DOESN'T DISPLAY THE ENTIRE TEXT INFORMATION I NEED. Based on an answer I found on pandas dataframe read csv with rows that have/not have comma at the end , I used the following code:
pd.read_csv(r'D:\E_Drive\everything else\C2\SROIE2019\0325updated.task1train(626p)\X00016469619.txt',usecols=np.arange(0,9), header=None)
This gave the following output:
The problem is that, for example in line 3 (row labelled 2 in pd dataframe)ie
126,191,297,191,297,214,126,214,27,JALAN DEDAP 13,
I need
27,JALAN DEDAP 13,
but I am getting
27
only. Same is the issue in line 5 (row labelled 4 in pd dataframe):
100,243,324,243,324,261,100,261,81100 JOHOR BAHRU,JOHOR.
I need
81100 JOHOR BAHRU,JOHOR.
but I am getting
81100 JOHOR BAHRU
The following approach might be sufficient? It first reads the rows using a standard CSV reader and rejoins the end columns before loading it into pandas.
import pandas as pd
import csv
with open('X00016469619.txt', newline='') as f_input:
csv_input = csv.reader(f_input)
data = [row[:8] + [', '.join(row[8:])] for row in csv_input]
df = pd.DataFrame(data)
print(df)
Giving you:
0 1 2 3 4 5 6 7 8
0 76 50 323 50 323 84 76 84 TAN WOON YANN
1 110 165 315 165 315 188 110 188 INDAH GIFT & HOME DECO
2 126 191 297 191 297 214 126 214 27, JALAN DEDAP 13,
3 129 218 287 218 287 236 129 236 TAMAN JOHOR JAYA,
4 100 243 324 243 324 261 100 261 81100 JOHOR BAHRU, JOHOR.
5 70 268 201 268 201 285 70 285 TEL:07-3507405
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