On 4/6/2020 8:51 PM, Reto wrote:
out = df.to_csv(None)
new = pd.read_csv(io.StringIO(out), index_col=0)
Thank you, brother. It works
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On Mon, Apr 06, 2020 at 06:29:01PM -0400, Luca wrote:
> so, given a dataframe, how do I make it print itself out as CSV?
read the docs of to_csv...
> And given CSV data in my clipboard, how do I paste it into a Jupiter cell
> (possibly along with a line or two of code) that will create a datafram
> On Apr 6, 2020, at 12:19 PM, David Raymond wrote:
>
> Attempting reply as much for my own understanding.
>
> Are you on Mac? I think this is the pertinent bit for you:
> Changed in version 3.8: On macOS, the spawn start method is now the default.
> The fork start method should be considered u
On 4/6/2020 3:03 PM, Christian Gollwitzer wrote:
CSV is the most sensible option here. It is widely supported by
spreadsheets etc. and easily copy/pasteable.
Thank you Christian.
so, given a dataframe, how do I make it print itself out as CSV?
And given CSV data in my clipboard, how do I
> On Apr 6, 2020, at 12:27 PM, David Raymond wrote:
>
> Looks like this will get what you need.
>
>
> def some_complex_function(x):
>global q
>#stuff using q
>
> def pool_init(q2):
>global q
>q = q2
>
> def main():
>#initalize the Queue
>mp_comm_queue = mp.Queue()
>
>
Looks like this will get what you need.
def some_complex_function(x):
global q
#stuff using q
def pool_init(q2):
global q
q = q2
def main():
#initalize the Queue
mp_comm_queue = mp.Queue()
#Set up a pool to process a bunch of stuff in parallel
pool = mp.Pool
Attempting reply as much for my own understanding.
Are you on Mac? I think this is the pertinent bit for you:
Changed in version 3.8: On macOS, the spawn start method is now the default.
The fork start method should be considered unsafe as it can lead to crashes of
the subprocess. See bpo-33725.
Am 06.04.20 um 17:17 schrieb Luca:
On 4/6/2020 4:08 AM, Reto wrote:
Does this help?
Thank you, but not really. What I am trying to achieve is to have a way
to copy and paste small yet complete dataframes (which may be the result
of previous calculations) between a document (TXT, Word, Google
Hi everyone,
I would like to introduce PyLiveUpdate
(https://github.com/devopspp/pyliveupdate),
a tool that helps you modify your running python code without stopping and
restarting it. This is helpful when you want to add some code (like print for
debug)
or modify a function definition (like
Under python 3.7 (and all previous versions I have used), the following code
works properly, and produces the expected output:
import multiprocessing as mp
mp_comm_queue = None #Will be initalized in the main function
mp_comm_queue2=mp.Queue() #Test pre-initalized as well
def some_complex_funct
On 4/6/2020 4:08 AM, Reto wrote:
Does this help?
Thank you, but not really. What I am trying to achieve is to have a way
to copy and paste small yet complete dataframes (which may be the result
of previous calculations) between a document (TXT, Word, GoogleDoc) and
Jupiter/IPython.
Did I m
Greetings,
2.7.18 release candidate 1, a testing release for the last release of the
Python 2.7 series, is now available for download. The CPython core developers
stopped applying routine bugfixes to the 2.7 branch on January 1. 2.7.18 will
includes fixes that were made between the release of 2.
Thanks, Eryk - this is very helpful.
Stephen.
On Mon, Apr 6, 2020 at 6:43 AM Eryk Sun wrote:
> On 4/3/20, Stephen Tucker wrote:
> >
> > Does an exception raised by a Python 3.x program on a Windows machine set
> > ERRORLEVEL?
>
> ERRORLEVEL is an internal state of the CMD shell. It has nothing
On Mon, Apr 6, 2020 at 6:36 PM ast wrote:
>
> Hello
>
> I wrote a decorator to add a cache to functions.
> I realized that cache dictionnary could be defined
> as an object attribute or as a local variable in
> method __call__.
> Both seems to work properly.
> Can you see any differences between t
Hello
I wrote a decorator to add a cache to functions.
I realized that cache dictionnary could be defined
as an object attribute or as a local variable in
method __call__.
Both seems to work properly.
Can you see any differences between the two variants ?
from collection import OrderedDict
clas
On Sat, Apr 04, 2020 at 07:00:23PM -0400, Luca wrote:
> dframe.to_string
>
> gives:
>
> 0 a0 b0 c0 d0
> 1 a1 b1 c1 d1
> 2 a2 b2 c2 d2
> 3 a3 b3 c3 d3>
That's not the output of to_string.
to_string is a method, not an attribute which is apparent by the
>
comment in your output
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