TabularResources testExcelSheet
from this project gives me a binary representation in a literal array of an Excel file.
````
testExcelSheet
^ #[80 75 3 4 20 0 6 0 8 0 0 0 33 0 199 122 151 144 120 1 0 0 32 6 0 0 19 0 8 2 91 67 111 110 116 101 110 116 95 84 121 112 101 115 93 46 120 109 108 32 162 4 2 40 160 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .....
....0 109 108 80 75 1 2 45 0 20 0 6 0 8 0 0 0 33 0 126 148 213 45 209 1 0 0 250 10 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 233 36 0 0 120 108 47 99 97 108 99 67 104 97 105 110 46 120 109 108 80 75 5 6 0 0 0 0 13 0 13 0 74 3 0 0 232 38 0 0 0 0]
````
Question
How do I write this to the disk to see which kind of file it is?
Answer
(by Esteban, edited)
./TabularATest1.xlsx' asFileReference writeStreamDo: [ :stream |
stream
binary;
nextPutAll: self testExcelSheet ]
Easiest way to do that is something like this:
'./file.bin' asFileReference writeStreamDo: [ :stream |
stream
binary;
nextPutAll: #[1 2 3 4 5 6 7 8 9 0] ]
So the trick is just telling to the stream "be a binary file" :)
Related
I'm trying to find the confusion matrix of a multiclass classification problem. I'm using tf.math.confusion_matrix() to do that. The code snippet is as follows,
y_pred = model.predict(x_test)
y_pred = tf.argmax(y_pred, axis=1)
Y_test = tf.argmax(y_test, axis=1)
matrix = tf.math.confusion_matrix(Y_test, y_pred)
The output of Y_test is,
tf.Tensor(
[[0 2 0 ... 0 0 0]
[0 2 0 ... 0 0 0]
[0 2 0 ... 0 0 0]
...
[0 0 0 ... 0 0 0]
[0 0 3 ... 0 0 0]
[0 0 2 ... 0 0 0]], shape=(2124, 279), dtype=int64)
The output of y_pred is,
tf.Tensor(
[[1 2 2 ... 0 0 0]
[0 2 3 ... 0 0 0]
[3 2 0 ... 3 1 3]
...
[3 1 0 ... 2 3 2]
[1 0 3 ... 1 1 2]
[1 0 2 ... 1 1 2]], shape=(2124, 279), dtype=int64)
Y_test[1] looks like the following,
tf.Tensor(
[0 2 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0], shape=(279,), dtype=int64)
y_pred[1] looks like the following,
tf.Tensor(
[0 2 3 1 3 3 2 2 2 3 2 3 2 3 3 2 1 0 0 0 0 3 1 0 2 3 1 2 0 1 0 0 1 0 0 0 0
2 0 2 1 0 0 0 0 1 0 0 0 3 2 0 0 3 2 0 0 3 3 0 3 0 0 0 0 1 0 2 1 0 2 3 0 3
3 0 2 3 1 3 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 3 3 0 0 0 0 0 3 0 0 1
0 3 0 3 3 0 1 0 3 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 3 0 0 3 0 0 0 0 0 0
3 0 3 3 0 0 0 3 0 0 0 0 0 0 0 0 0 0 3 0 3 0 0 0 0 3 0 3 0 0 0 0 0 0 0 2 0
0 1 0 0 0 0 2 0 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 3 0 3 3 0 2 3 0 3 3
3 3 3 0 3 0 3 0 0 3 0 0 0 0 3 3 3 2 0 0 0 0 0 0 0 0 2 3 0 0 3 0 0 0 3 0 2
0 0 3 0 0 0 0 0 3 1 2 0 3 2 3 0 3 0 0 0], shape=(279,), dtype=int64)
And the error I'm getting is,
InvalidArgumentError: Dimensions [0,2) of indices[shape=[2124,2,279]] must match dimensions [0,2) of updates[shape=[2124,279]] [Op:ScatterNd]
How this can be solved?
I have a code to count every route from bus by departure date, but i need to count the day before from route 148 plus the count of the route 139 for any day.
I have a view with variables: DEP_DATE (DATE), DepartureDate (Datetime), Routes (Numeric) like this
DEP_DATE DepartureDate Route= 139 Route= 148 Route=129 Route=61 Route=134 Route=60
08/02/2019 2019-02-08T15:00:00 0 0 0 0 0 0
08/02/2019 2019-02-08T10:45:00 0 0 0 0 0 0
08/02/2019 2019-02-08T08:30:00 0 0 0 0 0 0
08/02/2019 2019-02-08T08:15:00 0 0 0 0 0 0
08/02/2019 2019-02-08T21:00:00 0 0 0 0 0 0
08/02/2019 2019-02-08T13:00:00 0 0 0 0 0 0
08/02/2019 2019-02-08T06:30:00 0 0 0 11 0 0
08/02/2019 2019-02-08T19:00:00 0 0 21 0 0 0
08/02/2019 2019-02-08T06:00:00 0 0 0 0 10 13
08/02/2019 2019-02-08T17:30:00 0 0 2 0 0 0
08/02/2019 2019-02-08T05:30:00 1 0 0 0 0 0
08/02/2019 2019-02-08T14:45:00 0 0 0 0 0 0
08/02/2019 2019-02-08T07:00:00 0 0 0 0 0 0
09/02/2019 2019-02-09T20:15:00 0 0 0 0 0 0
09/02/2019 2019-02-09T22:00:00 0 2 0 0 0 0
09/02/2019 2019-02-09T20:30:00 0 0 8 0 0 0
09/02/2019 2019-02-09T08:30:00 0 0 0 0 0 0
09/02/2019 2019-02-09T07:00:00 0 0 0 12 0 0
09/02/2019 2019-02-09T19:00:00 0 0 12 0 0 0
09/02/2019 2019-02-09T06:00:00 0 0 0 0 20 7
09/02/2019 2019-02-09T15:00:00 0 0 0 0 0 0
09/02/2019 2019-02-09T06:30:00 0 0 0 0 0 0
09/02/2019 2019-02-09T08:15:00 0 0 0 0 0 0
09/02/2019 2019-02-09T18:15:00 0 0 0 0 0 0
09/02/2019 2019-02-09T14:45:00 0 0 0 0 0 0
09/02/2019 2019-02-09T13:00:00 0 0 0 0 0 0
10/02/2019 2019-02-10T21:00:00 0 0 0 0 0 0
10/02/2019 2019-02-10T10:45:00 0 0 0 0 0 0
10/02/2019 2019-02-10T06:00:00 0 0 0 0 11 11
10/02/2019 2019-02-10T13:00:00 0 0 0 0 0 0
10/02/2019 2019-02-10T08:30:00 0 0 0 0 0 0
10/02/2019 2019-02-10T08:15:00 0 0 0 22 0 0
10/02/2019 2019-02-10T19:00:00 0 0 21 0 0 0
10/02/2019 2019-02-10T07:00:00 0 0 0 0 0 0
10/02/2019 2019-02-10T20:15:00 0 0 0 0 0 0
10/02/2019 2019-02-10T15:00:00 0 0 0 0 0 0
10/02/2019 2019-02-10T20:30:00 0 1 2 0 0 0
10/02/2019 2019-02-10T06:30:00 0 0 0 0 0 0
10/02/2019 2019-02-10T18:15:00 0 0 0 10 0 0
11/02/2019 2019-02-11T19:00:00 0 0 32 0 0 0
11/02/2019 2019-02-11T08:30:00 0 0 0 0 0 0
11/02/2019 2019-02-11T06:00:00 0 0 0 0 14 12
11/02/2019 2019-02-11T00:45:00 0 0 0 0 0 0
11/02/2019 2019-02-11T15:00:00 0 0 0 0 0 0
11/02/2019 2019-02-11T08:15:00 0 0 0 0 0 0
11/02/2019 2019-02-11T13:00:00 0 0 0 0 0 0
11/02/2019 2019-02-11T06:30:00 0 0 0 0 0 0
11/02/2019 2019-02-11T07:00:00 0 0 0 0 0 0
11/02/2019 2019-02-11T10:45:00 0 0 0 0 0 0
12/02/2019 2019-02-12T08:30:00 0 0 0 0 0 0
12/02/2019 2019-02-12T13:00:00 0 0 0 0 0 0
12/02/2019 2019-02-12T06:00:00 0 0 0 0 10 8
12/02/2019 2019-02-12T15:00:00 0 0 0 0 0 0
12/02/2019 2019-02-12T10:45:00 0 0 0 0 0 0
12/02/2019 2019-02-12T07:00:00 0 0 0 0 0 0
12/02/2019 2019-02-12T14:45:00 0 0 0 15 0 0
12/02/2019 2019-02-12T19:00:00 0 0 14 0 0 0
12/02/2019 2019-02-12T22:00:00 0 2 0 0 0 0
13/02/2019 2019-02-13T13:00:00 0 0 0 0 0 0
13/02/2019 2019-02-13T18:15:00 0 0 0 0 0 0
13/02/2019 2019-02-13T08:15:00 0 0 0 0 0 0
13/02/2019 2019-02-13T20:15:00 0 1 0 0 0 0
13/02/2019 2019-02-13T15:00:00 0 0 0 0 0 0
13/02/2019 2019-02-13T14:45:00 0 0 0 0 0 0
13/02/2019 2019-02-13T08:30:00 0 0 0 0 0 0
13/02/2019 2019-02-13T07:00:00 0 0 0 0 0 0
13/02/2019 2019-02-13T06:00:00 0 0 0 0 7 7
13/02/2019 2019-02-13T21:00:00 0 0 0 0 0 0
13/02/2019 2019-02-13T06:30:00 0 0 0 3 0 0
13/02/2019 2019-02-13T19:00:00 0 0 24 0 0 0
14/02/2019 2019-02-14T18:15:00 0 0 0 0 0 0
14/02/2019 2019-02-14T20:30:00 0 0 3 0 0 0
14/02/2019 2019-02-14T07:00:00 0 0 0 0 0 0
14/02/2019 2019-02-14T06:00:00 0 0 0 0 4 2
14/02/2019 2019-02-14T15:00:00 0 0 0 10 0 0
14/02/2019 2019-02-14T19:00:00 0 0 10 0 0 0
14/02/2019 2019-02-14T13:00:00 2 0 0 0 0 0
14/02/2019 2019-02-14T08:30:00 0 0 0 0 0 0
And have my code that i made is like this:
SELECT
DEP_DATE,
COUNTIF( RouteId = 139) + COUNTIF( RouteId = 148 AND DepartureDate =
DATETIME_SUB(departureDate, INTERVAL 1 DAY)) AS BUS_1,
COUNTIF( RouteId = 134 ) + COUNTIF( RouteId = 60 ) AS BUS_2,
COUNTIF( RouteId = 134 AND EXTRACT(HOUR FROM DepartureDate) = 6) +
COUNTIF( RouteId = 60 AND EXTRACT(HOUR FROM DepartureDate) = 6) AS
BUS_3,
FROM
`project.dataset.view`
WHERE
DepartureDate >
DATETIME_TRUNC(DATETIME_SUB(CURRENT_DATETIME("America/Lima"), INTERVAL 3
DAY),DAY)
GROUP BY
DEP_DATE
My results are like this
DEP_DATE Bus_1 Bus_2 Bus_3 Explanation_Bus_1: Route_139 Route_148
08/02/2019 1 34 23 1 0
09/02/2019 2 32 27 0 2
10/02/2019 1 45 22 0 1
11/02/2019 0 42 26 0 0
12/02/2019 2 29 18 2 0
13/02/2019 0 27 14 0 1
14/02/2019 3 23 6 2 0
But what i expect my count on "Bus_1" like this:
DEP_DATE Bus_1 Bus_2 Bus_3 Explanation_Bus_1: Route_139 Route_148
08/02/2019 1 34 23 1 0
09/02/2019 0 32 27 0 2
10/02/2019 2 45 22 0 1
11/02/2019 1 42 26 0 0
12/02/2019 2 29 18 2 0
13/02/2019 0 27 14 0 1
14/02/2019 3 23 6 2 0
Every count of the route 148 has to be count the day after in the Bus 1
You would need to check if the date is Friday, Wednesday or Saturday. If it is one of those days, then calculate else default to 0.
Big Query Conditional Expressions: https://cloud.google.com/bigquery/docs/reference/standard-sql/conditional_expressions
Big Query Date Functions: https://cloud.google.com/bigquery/docs/reference/standard-sql/date_functions
DAYOFWEEK: Returns values in the range [1,7] with Sunday as the first day of the week.
Try this:
SELECT
T1.DEP_DATE,
T2.BUS_1 AS BUS_1,
COUNTIF( RouteId = 134 ) + COUNTIF( RouteId = 60 ) AS BUS_2,
COUNTIF( RouteId = 134 AND EXTRACT(HOUR FROM DepartureDate) = 6) +
COUNTIF( RouteId = 60 AND EXTRACT(HOUR FROM DepartureDate) = 6) AS
BUS_3,
FROM
`project.dataset.view` T1
LEFT JOIN (
SELECT
DATEADD(DEP_DATE, 1, DAY) AS DEP_DATE,
COUNTIF(RouteId = 139) + COUNTIF(RouteId = 148) AS BUS_1
FROM project.dataset.view
GROUP BY DEP_DATE
) T2
ON T1.DEP_DATE = T2.DEP_DATE
WHERE
DepartureDate >
DATETIME_TRUNC(DATETIME_SUB(CURRENT_DATETIME("America/Lima"), INTERVAL 3
DAY),DAY)
GROUP BY
T1.DEP_DATE, T2.BUS_1
I have successfully downloaded MNIST data in files with .npy extension. When I print the few columns of first image. I get the following result. What does each number represent here?
a= np.load("training_set.npy")
print(a[:1,100:200])
print(a.shape)
[[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 18
18 18 126 136 175 26 166 255 247 127 0 0 0 0 0 0 0 0
0 0 0 0 30 36 94 154 170 253 253 253 253 253 225 172 253 242
195 64 0 0 0 0 0 0 0 0]]
(60000, 784)
[[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 18
18 18 126 136 175 26 166 255 247 127 0 0 0 0 0 0 0 0
0 0 0 0 30 36 94 154 170 253 253 253 253 253 225 172 253 242
195 64 0 0 0 0 0 0 0 0]]
These are the intensity values (0-255) for each of the 784 pixels (28x28) of a MNIST image; the total number of training images is 60,000 (you'll find 10,000 more images in the test set).
(60000, 784) means 60,000 samples (images), each one consisting of 784 features (pixel values).
I have a data file that contains a lot of extra data. I want to run a word macro that only keeps 5 lines (I could live with 6 if it makes it easier)
I found how to delete a row if it contains a string.
I want to keep the paragraphs that start with:
Record write time
Headband impedance
Headband Packets
Headband RSSI
Headband Status
I could live with keeping
Headband ID
I tried the following macro, based on a sample I saw here. But, I am getting an error.
Sub test()
'
' test Macro
Dim search1 As String
search1 = "record"
Dim search2 As String
search2 = "headb"
Dim para As Paragraph
For Each para In ActiveDocument.Paragraphs
Dim txt As String
txt = para.Range.Text
If Not InStr(LCase(txt), search1) Then
If Not InStr(LCase(txt), search2) Then
para.Range.Delete
End If
Next
End Sub
The error is: next without For.
I know that there may be a better way, and an open to any fix.
Sample data:
The data is:
ZEO Start data record
----------------
Record write time: 10/14/2014 20:32
Factory reset date: 10/14/2014 20:23
Headband ID: 01/01/1970 18:32
Headband impedance: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 255 241 247 190 165 154 150 156 162 177 223 202
Headband Packets: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 21 4 30 3 3 3 9 4 46 46 1
Headband RSSI: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 6 254 254 250 5 255 4 3 249
Headband Status: 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 169 170 170
Hardware ID: 2
Software ID: 43
Sensor Life Reset date: Not recorded
sleep Stat Reset date: 10/14/2014 20:18
Awakenings: 0
Awakenings Average: 0
Start of night: 10/14/2014 20:28
End of night: 10/14/2014 20:32
Awakenings: 0
Awakenings Average: 0
Time in deep: 0
Time in deep average: 0
There is an End If missing. Add this immediately after the first End If - do you get the same error?
Update:
There is also an error in the If conditions. Check the InStr reference for return values.
You need to use something like If Not InStr(...) = 1 Then on both if statements.
My problem is related with subreports primary, my configuration is the following:
I have a main report as shown in the image:
Trueness associated subreport:
And each of the 4 last reports has the same structure, a page header and a detail.
the main report sends the parameter wavelength to its subreports and all the DataSources with all the info, and the last report has a conditional print detail:
$F{wavelength}.intValue()==$P{wavelength}.intValue()
Each DataSource "Bean" has wavelength as parameter and each ChX information.
When executing the application it generates 6 TruenessReports for Wavelenghts: (405,450,...,690), and 48 SubReports of each type (absorvance, reference, abs_error, rel_error).
The Report generated is the following (sorry but cannot generate one right now)
Wavelength: 405
Absorvances
Ch1 Ch2 Ch3 Ch4 Ch5 Ch6 Ch7 Ch8 Ch9 Ch10 Ch11 Ch12
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
Reference Absorvances
Ch1 Ch2 Ch3 Ch4 Ch5 Ch6 Ch7 Ch8 Ch9 Ch10 Ch11 Ch12
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
Absorvances Error
Ch1 Ch2 Ch3 Ch4 Ch5 Ch6 Ch7 Ch8 Ch9 Ch10 Ch11 Ch12
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
Relative Errors
Ch1 Ch2 Ch3 Ch4 Ch5 Ch6 Ch7 Ch8 Ch9 Ch10 Ch11 Ch12
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
Wavelength: 450
Absorvances
Reference Absorvances
Absorvances Error
Relative Errors
....
Wavelength: 690
Absorvances
Reference Absorvances
Absorvances Error
Relative Errors
So, only the first time the last 4 subreports are printed, the next ones (in my case 5 other wavelengths) it does not print anything, and there is data for its own associated wavelength.
Anyone have any idea?