On Fri, Oct 4, 2019, at 10:31, Stephen P. Molnar wrote:
> data = np.genfromtxt(files, usecols=(3), dtype=None, skip_header=8,
> skip_footer=1, encoding=None)
This seems like a good use case for `dask.dataframe.read_csv` [0].
Stéfan
[0] https://examples.dask.org/dataframes/01-data-access.html#Re
On 5 Oct 2019, at 12:15 am, Andras Deak wrote:
>
> On Fri, Oct 4, 2019 at 7:31 PM Stephen P. Molnar
> wrote:
>>
>>
>> I have a snippet of code
>>
>> #!/usr/bin/env python3
>> # -*- coding: utf-8 -*-
>> """
>>
>> Created on Tue Sep 24 07:51:11 2019
>>
>> """
>> import numpy as np
>>
>> fil
On Fri, Oct 4, 2019 at 7:31 PM Stephen P. Molnar wrote:
>
>
> I have a snippet of code
>
> #!/usr/bin/env python3
> # -*- coding: utf-8 -*-
> """
>
> Created on Tue Sep 24 07:51:11 2019
>
> """
> import numpy as np
>
> files = []
>
> data = np.genfromtxt(files, usecols=(3), dtype=None, skip_header
I have a snippet of code
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 24 07:51:11 2019
"""
import numpy as np
files = []
data = np.genfromtxt(files, usecols=(3), dtype=None, skip_header=8,
skip_footer=1, encoding=None)
print(data)
If file is a single file the c