dt | DNS tool - display information about your domain | DNS library
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kandi X-RAY | dt Summary
DNS tool that displays information about your domain.
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dt Examples and Code Snippets
def _parse_variant_shapes_and_types(t):
"""Extracts shape and dtype information from a variant tensor `t`."""
shapes_and_types = _variant_handle_data(t)
if shapes_and_types is None or not shapes_and_types:
raise ValueError("Required handle
def _largest_integer_by_dtype(dt):
"""Helper returning the largest integer exactly representable by dtype."""
if not _is_known_dtype(dt):
raise TypeError("Unrecognized dtype: {}".format(dt.name))
if dt.is_floating:
return int(2**(np.fin
def _is_known_signed_by_dtype(dt):
"""Helper returning True if dtype is known to be signed."""
return {
dtypes.float16: True,
dtypes.float32: True,
dtypes.float64: True,
dtypes.int8: True,
dtypes.int16: True,
d
Community Discussions
Trending Discussions on dt
QUESTION
I have a dataframe that identifies a set of values with an id:
...ANSWER
Answered 2022-Mar-22 at 21:24How about reshaping wider and using paste0()
?
QUESTION
I generate a line chart in Altair. I'd like to control which lines are "on top" of the stack of lines. In my example here, I wish for the red line to be on top (newest date) and then descend down to the yellow (oldest date) to be on the bottom.
I tried to control this with the sort
parameter of of alt.Color
but regardless of sort='ascending'
or sort='descending'
the order of the line overlap will not change.
How can I control this? Was hoping I can do this without sorting my source dataframe itself.
...ANSWER
Answered 2022-Mar-08 at 02:17By default, graphical marks are plotted in the order they occur in the dataframe (as you noted), which means that the elements last in the dataframe will be plotted last and end up on top in the chart (called the highest "layer" or the highest "z-order"):
QUESTION
This question is the data.table equivalent of Pass a data.frame column name to a function.
Suppose I have a very simple data.table:
...ANSWER
Answered 2022-Feb-26 at 00:32new_column_byref <- function(df,col_name,expr){
col_name <- deparse(substitute(col_name))
set(df,j=col_name,value=eval(substitute(expr),df,parent.frame()))
}
dat <- data.table(x = 1:4,y = 5:8)
new_column_byref(dat,z,x+y)[]
x y z
1: 1 5 6
2: 2 6 8
3: 3 7 10
4: 4 8 12
QUESTION
I have 3 columns namely Models(should be taken as index), Accuracy without normalization, Accuracy with normalization (zscore, minmax, maxabs, robust) and these are required to be created as:
...ANSWER
Answered 2022-Feb-20 at 13:01There's a dirty way to do this, I'll write about it till someone answers with a better idea. Here we go:
QUESTION
I am trying to do a function of decumulation with a for loop in R because the financial information provided by the company is accumulated for different concepts (this means that the info of January is only of January, the info of February is the sum of January and February, the one of March is the sum of January, February and March, etc.).
For example, let's say that I have the next dataframe:
...ANSWER
Answered 2021-Dec-29 at 18:21First note that if you apply
base function diff
to the months columns, you will get one column less but transposed.
QUESTION
I have a number of coordinates (roughly 20000) for which I need to extract data from a number of NetCDF files each comes roughly with 30000 timesteps (future climate scenarios). Using the solution here is not efficient and the reason is the time spent at each i,j to convert "dsloc" to "dataframe" (look at the code below). ** an example NetCDF file could be download from here **
...ANSWER
Answered 2021-Sep-26 at 00:51I have a potential solution. The idea is to convert xarray data array to pandas first, then get a subset of the pandas dataframe based on lat/lon conditions.
QUESTION
I have a logger
function from logging
package that after I call it, I can send the message through logging level
.
I would like to send this message also to another function, which is a Telegram function called SendTelegramMsg()
.
How can I get the message after I call the funcion setup_logger
send a message through logger.info("Start")
for example, and then send this exatcly same message to SendTelegramMsg()
function which is inside setup_logger
function?
My currently setup_logger
function:
ANSWER
Answered 2022-Jan-06 at 15:59Picking up the idea suggested by @gold_cy: You implement a custom logging.Handler
. Some hints for that:
- for the handler to be able to send message via a bot, you may want to pass the bot to the handlers
__init__
so that you have it available later emit
must be implemented by you. Here you'll want to callformat
which gives you a formatted version of the log record. You can then use that message to send it via the bot- Maybe having a look at the implementation of
StreamHandler
andFileHandler
is helpful as well
QUESTION
I have the followed column structure:
...ANSWER
Answered 2022-Jan-12 at 17:36We may remove the non-numeric part with gsub
, read with read.table
specifying the sep
as -
and use rowMeans
in base R
QUESTION
I'm currently building PoC Apache Beam pipeline in GCP Dataflow. In this case, I want to create streaming pipeline with main input from PubSub and side input from BigQuery and store processed data back to BigQuery.
Side pipeline code
...ANSWER
Answered 2022-Jan-12 at 13:12Here you have a working example:
QUESTION
I am trying to define a function that takes a data frame or table as input with a specific number of ID columns (e.g., 2 or 3 ID columns), and the remaining columns are NAME1, NAME2, ..., NAMEK (numeric columns). The output should be a data table that consists of the same ID columns as before plus one additional ID column that groups each unique pairwise combination of the column names (NAME1, NAME2, ...). In addition, we must gather the actual values of the numeric columns into two new columns based on the ID column; an example with two ID columns and three numeric columns:
...ANSWER
Answered 2021-Dec-29 at 11:06Attention:
Here is an inspiring idea which is not fully satisfy OP's requirement (e.g., ID.new and number order) but I think it worth to be recoreded here.
You can turn DT
into long format by melt
firstly.
Then to shift
value with the step -nrow(DT)
in order to do
the minus operation, i.e. NAME1 - NAME2, NAME2 - NAME3, NAME3 - NAME1
.
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