null | reasonable handling of nullable values | JSON Processing library
kandi X-RAY | null Summary
kandi X-RAY | null Summary
null is a library with reasonable options for dealing with nullable SQL and JSON values. There are two packages: null and its subpackage zero. Types in null will only be considered null on null input, and will JSON encode to null. If you need zero and null be considered separate values, use these. Types in zero are treated like zero values in Go: blank string input will produce a null zero.String, and null Strings will JSON encode to "". Zero values of these types will be considered null to SQL. If you need zero and null treated the same, use these. All types implement sql.Scanner and driver.Valuer, so you can use this library in place of sql.NullXXX. All types also implement: encoding.TextMarshaler, encoding.TextUnmarshaler, json.Marshaler, and json.Unmarshaler. A null object's MarshalText will return a blank string.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of null
null Key Features
null Examples and Code Snippets
const isNull = val => val === null;
isNull(null); // true
def _create_none_optionals(func_graph, n):
"""Creates `n` `None` optionals in func_graph.
Args:
func_graph: FuncGraph.
n: `int` the number of `None` optionals to make.
Returns:
A list of tensors in func_graph.
"""
with func_gr
def is_null_merge(self):
"""Indicate whether the wrapped spec is empty.
In the degenerate case where self._spec is an empty specification, a caller
may wish to skip a merge step entirely. (However this class does not have
enough info
Community Discussions
Trending Discussions on null
QUESTION
i have this input file.. I need to remove the duplicated rows in column 13 but I have a problem with the data that contains a "-" why does it not remove them
input
...ANSWER
Answered 2021-Jun-16 at 01:50If your sample input is accurate, some of your column 13 contain trailing whitespace. If you want to treat them as being the same value, you can trim it.
For example, before using column 13, you could do:
QUESTION
I have a dynamic query that adds WHERE clauses according to the parameters received:
...ANSWER
Answered 2021-Jun-15 at 23:39I found the answer with the following lines of code:
QUESTION
I'm trying to understand how parallelization works in Durable Function. I have a durable function with the following code:
...ANSWER
Answered 2021-Jun-10 at 08:44There are two approaches that are possible. The first is to use a suborchestrator for each job so that each suborchestrator handles just a specific job. Here is the docs for this approach https://docs.microsoft.com/en-us/azure/azure-functions/durable/durable-functions-sub-orchestrations?tabs=csharp Example from docs seem to be alike to yours.
The other is to use ContinueWith so that each job has its own "chain"
QUESTION
I've ran into problem getting UI lags when this line is running:
...ANSWER
Answered 2021-Jun-16 at 00:29I don't believe you can use SharedPreferences within an Isolate without support for MethodChannel / accessing platform-specific underlying OS frameworks on iOS / Android.
You would need to use FlutterIsolate or a similar package to provide that support.
chunhunghan has a good answer detailing this.
Alternatively, you could run the crypt.generateKeys()
by itself in your Isolate.spawn()
call and use the results after in a separate method accessing SharedPreferences
. (Assuming that crypt
package is also not relying on platform-specific code.)
QUESTION
const set = firebase.firestore().collection("workoutExercises").doc(firebase.auth().currentUser.uid).get()
console.log(set)
...ANSWER
Answered 2021-Jun-15 at 23:56Firebase calls like this are asynchronous, meaning they don't return immediately. In Javascript, you can deal with this in a couple of different ways, using async/await
or Promises
.
Here's an example using a Promise
:
QUESTION
I have some data that looks like this:
...ANSWER
Answered 2021-Jun-15 at 16:44Two options. The first will use coalesce()
to eliminate the null values. The second will create a a unique set of intersections via a CROSS JOIN
and a UNION ALL
(brute force)
Example
QUESTION
Stringfield1 has the following
...ANSWER
Answered 2021-Jun-15 at 23:39Use regexp_replace(Stringfield1, r'\(\d+\)$', '')
if applied to sample data in your question - output is
QUESTION
Hi I tired to check null values of my data frame(house) which has 81 columns but
house.isnull().sum()
display only few columns data.
ANSWER
Answered 2021-Jun-15 at 23:08Try running this line before you get the output
pandas.set_option('display.max_rows', 500)
See this other article on this
QUESTION
In part of my application I have an option that displays a list of albums by the current artist that aren't in the music library. To get this I call a music API to get the list of all albums by that artist and then I remove the albums that are in the current library.
To cope with the different casing of names and the possibility of missing (or extra punctuation) in the title I have written an IEqualityComparer
to use in the .Except
call:
ANSWER
Answered 2021-Jun-15 at 23:05If you're going to use the CompareOptions
enum, I feel like you might as well use it with the CompareInfo
class that it's documented as being designed for:
Defines the string comparison options to use with CompareInfo.
Then you can just use the GetHashCode(string, CompareOptions)
method from that class (and even the Compare(string, string, CompareOptions)
method if you like).
QUESTION
Currently I have 3 tables like below
Master
ID_NUMBER ZIPCODE 1 12341 2 12342 3 12343 4 12344Table1
ID_NUMBER CITYNAME COUNTYNAME 1 NEW YORK QUEENS 3 DETROIT SUFFOLKTable2
ID_NUMBER CITYNAME COUNTYNAME 2 ATLANTA ROCKLAND 4 BOSTON WINCHESTERMy desired output is like below. I want to filter based on the zipcode from master table
ID_NUMBER ZIPCODE CITYNAME COUNTYNAME 2 12342 ATLANTA ROCKLANDHow would i go about writing a query for this? Below is what i have tried but it's giving me null values if the ID_NUMBER is not found on that particular table.
...ANSWER
Answered 2021-Jun-15 at 22:37Use COALESCE()
:
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