Hi Vish,
there are two things I can spot.
1) You actually do have a header in the .csv file, so header=false is not a
good option.
2) Something probably has gone wrong with the formatting of the second line
in your .csv file.
It contains stuff like: *.1.739873170852661133e.00* which cannot be
interpreted as a number
(note the dot in front of 1)
if I remove the second line of your .csv file I can read it in with
df = readtable("sample.csv")
So you might check the script producing your .csv file to get a nicely
formatted
first line of the data.
Hope this helps.
Andre
On Tuesday, December 8, 2015 at 11:27:34 PM UTC-5, Vishnu Raj wrote:
>
> This is my sample CSV. It is an extract from UCI SUSY dataset, only first
> few were saved using an R script.
>
>
> On Wednesday, December 9, 2015 at 3:26:19 AM UTC+5:30, Andre Bieler wrote:
>>
>> I cannot reproduce this.
>> Can you provide your data file?
>>
>> I attached a .cvs file and a .jl file to
>> read out the data. Seems all good to me
>> and the values are stored as Float64.
>>
>>
>>
>>
>>
>> On Tuesday, December 8, 2015 at 7:24:26 AM UTC-5, Vishnu Raj wrote:
>>>
>>> Hi,
>>> I have a CSV file with values represented as 2.345 and 1.23e2 (say) and
>>> no header
>>> When I try readtable( "file", header=false ), I'm getting all the cell
>>> values as "UTF8String". How can I properly read it as Float64??
>>>
>>> - vish
>>>
>>
