filter dataset not having a value

filter dataset not having a value

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filter dataset not having a value
Tag : django , By : deanschang
Date : January 12 2021, 08:33 AM

it should still fix some issue Suppose i have a schema like below : , This should do what you want:

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Pass Value from one DataSet to another DataSet to filter row in Reporting Services 2008

Tag : chash , By : Grace Jones
Date : March 29 2020, 07:55 AM
will be helpful for those in need Do you want to calculate the years relative to the date the report is run?
That would be easier as the function Value would then be something like

SSRS Tablix filter to exclude data from 1 dataset if its not in dataset 2

Tag : reporting-services , By : amy
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , You can add a filter in your Dataset 1 or the Tablix and use the below expressions.

Tensorflow 1.12 apply dataset.filter to dataset.window

Tag : tensorflow , By : Josh
Date : March 29 2020, 07:55 AM
it fixes the issue If you look at the return type of predicate in the filter method, you need to return a scalar tf bool tensor, which I suspect is not happening with your pythonic predicate. Modifying the code to return such a tensor, gives me results.
import tensorflow as tf
sess = tf.InteractiveSession()
ds = tf.data.Dataset.range(100)
ds = ds.window(size=4, shift=1,
               drop_remainder=True).flat_map(lambda x: x.batch(4))

#*I want to keep the window if the last element in the window is even*
ds = ds.filter(lambda x: tf.equal(x[3] % 2, 0)) 

ds = ds.repeat()
ds = ds.batch(4, drop_remainder=True)
it = ds.make_one_shot_iterator()
data = it.get_next()
for i in range(100):
[array([[ 1,  2,  3,  4],
       [ 3,  4,  5,  6],
       [ 5,  6,  7,  8],
       [ 7,  8,  9, 10]])]
[array([[ 9, 10, 11, 12],
       [11, 12, 13, 14],
       [13, 14, 15, 16],
       [15, 16, 17, 18]])]
[array([[17, 18, 19, 20],
       [19, 20, 21, 22],
       [21, 22, 23, 24],
       [23, 24, 25, 26]])]
[array([[25, 26, 27, 28],
       [27, 28, 29, 30],
       [29, 30, 31, 32],
       [31, 32, 33, 34]])]
[array([[33, 34, 35, 36],
       [35, 36, 37, 38],
       [37, 38, 39, 40],
       [39, 40, 41, 42]])]

Python - Filter a dataset based on column values of another dataset

Tag : python-3.x , By : Erik
Date : March 29 2020, 07:55 AM
it should still fix some issue I have two datasets: , I believe you need:
from collections import Counter

#create dictionaries of boolean values for each row
L = [{a:b for a, b in (zip(v[::2], v[1::2])) if isinstance(b, bool)} 
          for k, v in df1.T.to_dict('l').items()]
print (L)
[{'abc': True, 'bcd': False, 'cde': False}, 
 {'bcd': False, 'cde': True, 'def': False}, 
 {'def': False, 'abc': True}]

#match with df2 and count index values by Counter
df22 = df2.set_index('status')
out = [Counter(df22.index[np.logical_and.reduce([df22[k] == v 
       for k, v in x.items()])]) for x in L]
print (out)
[Counter({'Failure': 2, 'Success': 1}), 
 Counter({'Success': 1, 'Failure': 1}),
 Counter({'Failure': 3, 'Success': 1})]

#create DataFrame
df2 = pd.DataFrame(out, index=df1.index).fillna(0).astype(int)
#insert total row for first position
df2.insert(0, 'Row Count', df2.sum(axis=1))
#join together
df = df1.join(df2)
print (df)
  Key 1  Value 1 Key 2  Value 2 Key 3 Value 3  Row Count  Failure  Success
0   abc     True   bcd    False   cde   False          3        2        1
1   bcd    False   cde     True   def   False          2        1        1
2   def    False   abc     True  None     NaN          4        3        1

SSRS - On what basis should I decide to choose Dataset Filter or Dataset Parameter?

Tag : reporting-services , By : user121501
Date : March 29 2020, 07:55 AM
hope this fix your issue As you already you, we can use Dataset parameter and Dataset Filterto filter out required Data.
As far as my knowledge goes, it is always better to use dataset parameter. Reason: it will filter out data coming from database i.e on Report you will have let's say 100 Records rather than 1200.
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