Hello,
We develop a measurement evaluation tool, and we'd like to use
pytables/hdf5 as a middle layer for signal accessing.
We have to deal with the silly structure of the recorder device
measurement format.
The signals can be accessed via two identifiers:
* device name: source of the
Hi Pytables users and developers:
I have a few questions to which I could not find the answer in the
documentation. Thank you in advance for any help.
1. If I store dates in Pytables, does it mean I could write queries like
table.where('date.month == 5')? Is there a common way to pass from
On Mon, Aug 5, 2013 at 1:38 PM, Oleksandr Huziy guziy.sa...@gmail.comwrote:
Hi Pytables users and developers:
I have a few questions to which I could not find the answer in the
documentation. Thank you in advance for any help.
1. If I store dates in Pytables, does it mean I could write
Here is a pandas solution for doing just this (which uses PyTables under the
hood):
# create a frame
In [45]: df = DataFrame(randn(1000,2),index=date_range('2101',periods=1000))
In [53]: df
Out[53]:
class 'pandas.core.frame.DataFrame'
DatetimeIndex: 1000 entries, 2000-01-01 00:00:00 to
Hello Giovanni,
I think you may need to del that slice and then possibly repack. Hope this
helps.
Be Well
Anthony
On Mon, Aug 5, 2013 at 2:09 PM, Giovanni Luca Ciampaglia
glciamp...@gmail.com wrote:
Hello all,
is there a way to clear out a chunk from a CArray? I noticed that setting
the
Hi Anthony,
what do you mean precisely? I tried
del ca[:,:]
but CArray does not support __delitem__. Looking in the documentation I could
only find a method called remove_rows, but it's in Table, not CArray. Maybe I
am
missing something?
Thank,
Giovanni
On Mon 05 Aug 2013 03:43:42 PM EDT,
On Mon, Aug 5, 2013 at 3:14 PM, Giovanni Luca Ciampaglia
glciamp...@gmail.com wrote:
Hi Anthony,
what do you mean precisely? I tried
del ca[:,:]
but CArray does not support __delitem__. Looking in the documentation I
could
only find a method called remove_rows, but it's in Table, not
