for the time being chip and i talked and i'll ping someone if i see someone who isn't getting the help they need (since i keep gitter open all the time)
Speaking of coffee. I remember an article I read on tracing our coffee from farm to cup by logging such details on a coffee blockchain. With all the supply chain issues we are having now I wonder if projects like this should be implemented with the power of Deephaven. Perhaps that will be my next exploration!
if you are just seeking to run a deephaven client via cron on some schedule, so as to import data into that instance, that should be doable today?
found it - first bulletpoint of deephaven/deephaven-core#1272
hi there. 2 days into Deephaven I'm still having trouble to figure out how do something like a simple moving average and attach that back to the original table.
I had posted an example how to do this in Pandas here: deephaven/deephaven-core#1796
I had posted an example how to do this in Pandas here: deephaven/deephaven-core#1796
8 replies
import numpy as np
from deephaven.TableTools import newTable, doubleCol
def my_function(A):
total = 0
for i in range(0, len(A)):
total = total + A[i]
return total
dh_table = newTable(doubleCol("X", np.random.randn(10,1))).updateView("A= X_.subVector(i-2,i+1)","rolling_mean = avg(A)", "rolling_median =median(A)", "rolling_sum = sum(A)", "FuncX=my_function(A)").dropColumns("A")
@hythloda this is basically what we want
24 replies
I have a table that I want to test if there is enough data before doing calculations.
def verify_series(series: Series, min_length: int = None) -> Series:
"""If a Pandas Series and it meets the min_length of the indicator return it."""
has_length = min_length is not None and isinstance(min_length, int)
if series is not None and isinstance(series, Series):
return None if has_length and series.size < min_length else seriesI have the data as a column as DateTime values, I want to make sure there are like 10 of those times before doing the calc.
Hi, was looking into deephaven. Was wondering what the lifecycle of a job / table / dag is on deephaven. More specifically, if I were to make a session, then make a joined table, then close the session... is the table available still for other users or myself later on? ps: I'm a Data Domain architect at a news publisher in a couple of european countries. For now, I'm mainly interested in checking DH features, and I'll probably take it for a spin when the features match with our in house view on data architecture.
7 replies