I'm attempting to change the datatype of a few columns in a dataframe from boolean/float to integer and keep getting the following warning:
/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:4: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
after removing the cwd from sys.path.
I've attempted to .copy() the columns prior to invoking .astype() as well as taking values (.values) of the columns prior to invoking .astype() and keep getting this warning. I haven't encountered this before.
df[['Cancelled', 'Diverted']] are booleans and df['DepDel15'] is a float.
Here is the code:
# Convert target variables to integers
target_vars = ['Cancelled','Diverted','DepDel15']
for element in target_vars:
df[element] = df[element].astype('int')
Does anyone have suggestions on how to avoid the warning I'm getting?
Related
While making a project in Xcode, I ran into the error "tried to merge string value for key 'CFBundleExecutable' onto dictionary value." As an additional message to this error, the compiler states: "tried to merge string value for key 'CFBundleExecutable' onto dictionary value." I am wondering what the error could possibly be, and how can I fix this? I appreciate the help!!
1.This error occurs when you are trying to merge a string value with an array value for the key "CFBundleIdentifier". To resolve this issue, you should make sure that both values are of the same data type. If you want to append the string value to the array, you can use the append method:
When I run my code one error occurs with my code setindex! not defined for WeakRefStrings.StringArray{String,1}
CSV File here.
using CSV
EVDdata =CSV.read(raw"wikipediaEVDdatesconverted.csv")
EVDdata[end-9:end,:]
And the Error Code is here
rows, cols = size(EVDdata)
for j =1:cols
for i = 1:rows
if !isdigit(string(EVDdata[i, j])[1])
EVDdata[i,j] = 0
end
end
end
I am working with Julia 1.4.1 on Jupter Notebook
setindex!(collection, item, inds...) is the function that colection[inds...] = item gets lowered to. The error comes from the fact that CSV.read makes an immutable collection.
As Oscar says in his answer, setindex! tries to mutate its arguments, i.e. change the contents of your column in place. When you do CSV.read(), by default immutable columns of type CSV.Column are returned. This is done for performance reason, as it means columns don't have to be copied after parsing.
To get around this, you can do two things:
Pass the keyword argument CSV.read(raw"wikipediaEVDdatesconverted.csv", copycols = true) - this will copy the columns and therefore make them mutable; or
Achieve the same by using DataFrame((raw"wikipediaEVDdatesconverted.csv"))
The second way is the preferred way as CSV.read will be deprecated in the CSV.jl package.
You can see that it's current implementation is basically doing the same thing I listed in (2) above in the source here. Removing this method will allow CSV.jl not to depend on DataFrames.jl anymore.
It could also be done this way
col1dt = Vector{Dates.DateTime}(undef, length(col1))
for v = 1:length(col1)
col1dt[v] = Dates.DateTime(col1[v], "d-u-y")
end
I'm doing a check in my syntax to see if all of the string fields have values. This looks something like this:
IF(STRING ~= "").
Now, instead of filtering or computing a variable, I would like to force an error if there are fields with no values. I'm running a lot of these scripts and I don't want to keep checking the datasets manually. Instead, I just want to receive an error and stop execution.
Is this possible in SPSS Syntax?
First, you can efficiently count the blanks in your string variables with COUNT:
COUNT blanks = A B C(" ").
where you list the string variables to be checked. So if the sum of blanks is > 0, you want the error to be raised. First aggregate to a new dataset and activate it:
DATASET DECLARE sum.
AGGREGATE /OUTFILE=sum /count=sum(blanks).
The hard part is getting the job to stop when the blank count is greater than 0. You can put the job in a syntax file and run it using INSERT with ERROR=STOP, or you can run it as a production job via Utilities or via the -production flag on the command line of an spj (production facility) job.
Here is how to generate an error on a condition.
DATASET ACTIVATE sum.
begin program.
import spssdata
curs = spssdata.Spssdata()
count = curs.fetchone()
curs.CClose()
if count[0] > 0:
spss.Submit("blank values exist")
end program.
DATASET CLOSE sum.
This code reads the aggregate file and if the blank count is positive issues an invalid command causing an error, which stops the job.
I am attempting to allow a dynamic sort on a text box on an SSRS report. The field upon which I am trying to sort will either have an "A" or a decimal number. I am wanting to sort the decimal numbers in descending order. The expression I am using is:
=iif(isnumeric(Fields!CommScore.Value), (cdbl(Fields!CommScore.Value)*-1),6)
For the decimal number will never be larger than 5. The error I get is:
The sortexpression for the text box 'textbox74' contains an error. Input string was not in a correct format. (rsRuntimeErrorInExpression)
I imagine this is something simple. What am I doing wrong?
The error relates to the CDbl function throwing an exception when trying to convert A to a number. Yes, I know you're checking if it is numeric first but IIF is not a language construct, it is a function and as a function it evaluates all its parameters before passing them to the function. This means that both the true and false parameters get calculated even though one will be discarded.
Try the Val function. It has the benefit of not erroring when it gets passed non-numeric data - it just does the best it can to convert it.
=IIF(IsNumeric(Fields!CommScore.Value), (Val(Fields!CommScore.Value)*-1), 6)
I am getting a run time error '6' Over Flow in vb 6
The "Overflow" error means that you are trying to put a number into a variable (or property etc), and the data type of the variable doesn't allow numbers that large.
Make sure that numbers used in calculations that are coerced into integers do not have results larger than integers.
What is the type of the data in the database?
My guess is that ADO returns it as either a String or a Decimal, and Decimal values only "fit into" a Variant in VB6.
VB6 has no syntax for a Decimal literal, however you can use something like:
CDec(111010114289#)
... inline, or declare a Const as in:
Private Const BigVal As Currency = 111010114289#
I you have to put a large number in a small variable, like C, check Remove integer bound check in project properties (if you are not compiling as PCode)