logo
Tags down

shadow

Aggregate sum AND count together not working


By : user2175724
Date : October 14 2020, 08:10 PM
seems to work fine $count is Aggregation Pipeline Stage you try use it as aggregation pipeline operator. You must put $count after $group and then you count num of groups(if you this neded) or simple use somthing like this "metric_volume":{$sum:1} (after _id declaration of course) for counting grouped documents.
code :


Share : facebook icon twitter icon

Record Count functoid returns aggregate count for non-flattend target message


By : Damian
Date : March 29 2020, 07:55 AM
To fix this issue I solved this issue by replacing the Record Count functoid with a Call XSLT Template Scripting functoid.
The XSLT template looks like this:
code :
<xsl:template name="CountMyBar">
    <xsl:param name="fooId" />
    <xsl:element name="barcount">
        <xsl:value-of select="count(//foo[Id=$fooId]/bar)" />
    </xsl:element>
</xsl:template>

Cannot mix aggregate and non-aggregate comparison with COUNT


By : Ammar Merhbi
Date : March 29 2020, 07:55 AM
I wish this helpful for you I know this is very commom question. But I havenot still known why in my case as follows. Give me your idea about this issue: , Place your IF statement inside the COUNT().

How to do group by and take count of unique and count of some value as aggregate on same column in python pandas?


By : Yashintha Panduka
Date : March 29 2020, 07:55 AM
I wish this help you Do some preprocessing by including the col4==3 as a column ahead of time. Then use aggregate
code :
df.assign(result_col=df.col4.eq(3).astype(int)).groupby(
    ['col1', 'col2']
).agg(dict(col3='size', col4='nunique', result_col='sum'))

           col3  result_col  col4
col1 col2                        
1    4        2           2     1
     6        1           0     1
g = df.groupby(['col1', 'col2'])
g.agg({'col3':'size','col4': 'nunique'}).assign(
    result_col=g.col4.apply(lambda x: x.eq(3).sum()))

           col3  col4  result_col
col1 col2                        
1    4        2     1           2
     6        1     1           0
g = df.groupby(['col1', 'col2'])
final_df = g.agg({'col3':'size','col4': 'nunique'})
final_df.insert(1, 'result_col', g.col4.apply(lambda x: x.eq(3).sum()))
final_df

           col3  result_col  col4
col1 col2                        
1    4        2           2     1
     6        1           0     1

Aggregate count query is not working anymore in Meteor 1.8


By : user2203200
Date : March 29 2020, 07:55 AM
around this issue The package you are using (meteorhacks:aggregate) is abandoned since about 2015. With the new Mongo >= 3.0.0 (which has been introduced since Meteor 1.7) this package will not work anymore as there are breaking changes in the Mongo driver.
The alternative would be either to self-implement the aggregate functionality against the latest Mongo driver or to use an active maintained fork of the package like sakulstra:aggregate.

COUNT aggregate not working on DBPedia when issued via Jena


By : Sky Skysh
Date : March 29 2020, 07:55 AM
This might help you The problem is that your query is not valid SPARQL 1.1
Virtuoso (the software used for DBPedia) is notorious for having a non-standard SPARQL implementation which supports various syntax extensions that are not valid in standard SPARQL. This is why when you enter the query at the DBPedia endpoint directly yourself it is accepted.
shadow
Privacy Policy - Terms - Contact Us © voile276.org