kandi X-RAY | apd Summary
kandi X-RAY | apd Summary
apd is an arbitrary-precision decimal package for Go. apd implements much of the decimal specification from the General Decimal Arithmetic description. This is the same specification implemented by python’s decimal module and GCC’s decimal extension.
Top functions reviewed by kandi - BETA
apd Key Features
apd Examples and Code Snippets
Trending Discussions on apd
I have the following XML (in brief):...
ANSWERAnswered 2022-Apr-11 at 14:04
However, whenever i successfully connect (login) to my forum, i notice that socket server doesn't console anything. Meanwhile i'm expecting in console this message
A new user is connected ! .
I'm not sure if i did something wrong in my codes, so here they are:
I installed express, nodemon and socket.io in my socket server:
- Socket server:
ANSWERAnswered 2022-Apr-08 at 15:05
I'm building a forum where two users after connections can post a status then comment on them. For comments, i used socket.io .
In console i'm getting this error each few seconds :...
ANSWERAnswered 2022-Apr-07 at 22:25
You added a slash instead of semi-colon:
socket.current = io("ws://localhost:4000")
SAVE statement in subroutine or function. Also I haven't
IMPLICIT NONE. In that case are loop variables in Fortran SAVEd? Example:
ANSWERAnswered 2022-Feb-13 at 18:50
A DO construct of the form of the question is not a scoping unit. Further, a "loop variable" for such a construct is not a privileged entity: it's just a variable in the scope containing the loop which is used in a particular way.
j in this case is variable which exists before the DO construct, and it exists after the DO construct.
j is of implicitly declared type is not relevant: a variable which is not a construct or statement entity with implicit type exists throughout the scoping unit (and possibly others) in which the reference appears (see later). That is, the implicitly typed
j here exists throughout the function, not just from the point where it appears in the DO construct.
The SAVE statement applies to the whole (non-inclusive) scoping unit. If
j is a local variable (in this case, not use- or host-associated) then the SAVE saves it.
As Steve Lionel points out in a comment, in general, things can be much more complicated. Although not relevant to this question there are exceptions to what may otherwise be seen as blanket statements above.
Consider the similar concepts (switching to free form code for clarity)
import mplfinance as mpf import talib as ta import matplotlib.pyplot as plt import numpy as np %matplotlib notebook test=df WMA20 = ta.WMA(test['close'], timeperiod=20) WMA60 = ta.WMA(test['close'], timeperiod=60) WMA100 = ta.WMA(test['close'], timeperiod=100) WMA200 = ta.WMA(test['close'], timeperiod=200) # Set buy signals if current price is higher than 50-day MA test['Buy'] = (test['close'] > WMA20) & (test['close'].shift(1) <= WMA20) #plot tcdf =test[['close']] tcdf=tcdf.reset_index() tcdf['date'] = tcdf['date'].apply(lambda x: x.value) for i in range(len(test['Buy'])): if test['Buy'][i]==True: apd = mpf.make_addplot(tcdf.iloc[i],type='scatter',markersize=20,marker='o') mpf.plot(test,addplot=apd, type='candle',volume=True)
ANSWERAnswered 2022-Jan-28 at 12:35
The problem is you are calling
make_addplot() with only one data point at a time. There is also no need for the date index in the
make_addplot() call; only the data.
Also, the length of data (number of rows) passed into
make_addplot() must be the same as the length (number of rows) pass into
make_addplot() should not be within the loop.
Try replacing this part of the code:
I'm facing a SQL request issue. I'm not a SQL expert and I would like to understand my mistakes. My use case is to get all records of the first table + records of the second table that are not present in the first table. I've got 2 tables like this :
First table "T-Finance par jalon ZOHO" (with 20 columns):...
ANSWERAnswered 2022-Jan-27 at 16:40
Assuming the following:
- Both tables have have the exact same columns
- Uniqueness only is guaranteed on the entire row (that is, there is no primary key)
- Every row in each table IS unique, duplicates only exists across the row
Your only option is subquery together with
Trying to convert a radar data file, that was sent to me in JSON format, to manageable DataFrame.
The first three lines of the file look like this:...
ANSWERAnswered 2021-Dec-09 at 23:27
This is almost valid JSON, except the final line seems to be truncated. Pandas can import dictionaries with almost no pain:
I have a sample set of data in this db<>fiddle. The data represents a batch of wells that fall into different well-type categories based on some criteria. I am trying to group the wells by the category they fall into and then count how many wells are in each category based on another set of criteria.
My current query partially works but only correctly counts wells that are higher in the
CASE WHEN clause hierarchy. This is because the first
CASE WHEN has the chance to assign well categories to all of the wells in the data set. However, as it goes through each
CASE WHEN clause, the query "see's" fewer wells because it runs out of wells it can assign a category to. By the time it reaches the end, almost all of the wells have already had a category assigned to them, preventing some category counts from occurring at all.
Here is the current query I have, which is also in the db<>fiddle link above:...
ANSWERAnswered 2021-Nov-23 at 16:58
One way in which you could do this would be to generate a row for each criteria and then aggregate up those that return a match, which can be done using
cross apply and a
values table generator that ensures all your
case expressions are evaluated for all wells.
This approach at present assumes that each well only has the one
WellCategory value. If there can be more than one then you will need to make those changes yourself. I also haven't wrapped the output in a
pivot as I think this is generally something best done in your presentation layer rather than the raw SQL.
I suggest keeping the SQL output in this format as presentation tools are much better at dynamically handling new categories (e.g. a new
LeaseType is added) than SQL is, which in this normalised format wouldn't require a change in either the script or the presentation layer, barring any bespoke labels.
If you want to retain the pivoted output, you can simply wrap this query in your current outer
I have the index list working as intended but I still have problems with the table and footer.
- table header doesn't stay fixed when I scroll
- table height is not responsive and overflows into the footer
- table x scroll bar is at the bottom of the page and is not at the bottom of the table view. Intended functionality is the same as the code snippets on this site.
- footer margin is not enforced on mobile.
- footer height causing large white space at the bottom of the div. Most likely due to height property resizing the div.
ANSWERAnswered 2021-Nov-23 at 03:02
Have managed to solve all bugs by changing the CSS file except for the table header being sticky.
Here's the code for it
I am new to Cmake. I am using Ubuntu 20.
I build & installed dlt-daemon-2.18.8 locally (/home/map/third_party) and build Log library.
Following is the Content of Log library CMakeLists.txt...
ANSWERAnswered 2021-Nov-03 at 20:49
As far as I see, you only need to add the link directory to your target:
No vulnerabilities reported
Reuse Trending Solutions
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page