I am reading a very Big CSV file from pandas in return when I am checking the output of the file it is throwing some absurd result:
projects=pd.read_csv('Projects.csv', sep='delimiter', header=None,engine='python',encoding='latin-1',skiprows=2)
I have tried many conditions by changing the encoding method and many of the other conditions still, I am receiving the same output
0
0 æ®&ý%|ÈÍêc7*Àòç¯Nãç&ûãßöû3ü·oäAÏ6Å6o£¤...
1 aTݤã[ÓÓ:λq8ÝïJçÝpGÔ¨ñað¢@·-,éD¿¨...
2 nªz¤/Âz?ã·Á|ø0v³¾R?3 CÓë_æàßv...
3 GPÃóNÝHÝèÆ¡Gár#Ý
4 GÍÅ9âÂQ²?8;)MÏ`5ÀôÚL3íºãÒÖõðaßãÂÔ...
5 <ÈÞ-ܹ޽¥Æ£¯»àÏÝ}·ÇÒÃpo»ã¾ë5ÝBù{}~þô...
6 _wü-H|gw¦wò4ÉùÃ5nnÔÃo°ºnn`½³÷¶^...
7 ù4iZÓYU{=ó'ͥ羷xüé¢ÁüURnÂÕ«Ý=nû®...
8 gT:5ݾ,ãC7àzÞÃ)E;îîÙ³'$üÃAÀ
9 F:i¸Í-IÅX¾ÒÃxß)éx{ï`0%¬ì2û70aàÖ±...
10 ^o+=7|5ÊØ`ø~@ýLÀÛ5YSvú÷t<gcxÃpåv»ûÇï...
It would be great help If I get it resolved!
This is probably a binary file ( .xls
or .xlsx
) with a .csv
extension.
There's only one 'field' in each row, so no delimiter is found.
Since you skipped the first 2 rows, I can't check the file signature to be sure.
Looking at the histogram of the small data sample you provided, it looks like this is compressed data and probably a .xlsx
file (which is actually a zip file).
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