I have DF that looks like this:
0 1 2 3 4 5 6 7 8 9 10 11 12 13
0 row-a49t-ihm3.rpap 00000000-0000-0000-05D6-978893D301BF 0 1604696511 None 1604696511 None { } 2002 JAN 31106 49927 755015820 386481929
1 row-njtn_crc8_qawh 00000000-0000-0000-3211-E4A718B8A756 0 1604696511 None 1604696511 None { } 2002 FEB 27520 50982 664454223 361353242
2 row-tn8d-5xax-gcqz 00000000-0000-0000-9FC0-AB50DEE551EE 0 1604696511 None 1604696511 None { } 2002 MAR 34225 58794 805666244 419385387
3 row-bjnm-jnr7.7rbw 00000000-0000-0000-FE23-E2E416AC13DB 0 1604696511 None 1604696511 None { } 2002 APR 36452 59817 846368297 433061150
0 1 2 3 4 5 6 7 8 9 10 11 12 13
are column names according to:
for col in df.columns:
print(col)
Loop prints this:
0
1
2
3
4
5
6
7
8
9
10
11
12
13
However i can't delete them using this:
df.drop(columns=['0','1','2','3','4','5','6','7'], inplace=True)
If it changes anything DataFrame was imported from Json file. What is causing the issue - column names are correct?
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