kandi X-RAY | kalk Summary
kandi X-RAY | kalk Summary
This is the repository of kalk, a powerful command line calculator app for developers.
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I want to pass all values in a dataframe as condition to dplyr::case_when() with stringr::str_detect() while using the respective column title als replacement value.
I have these two data frames:...
ANSWERAnswered 2021-Nov-25 at 20:38
I'm not 100% sure the output you're looking for. However, I believe this is a step in the right direction. Rather than looping over the district values and checking for matches, I propose melting the
district_stack data and joining that new
df to the city names using a fuzzy string match.
That is what I understand is happening in the loop. You then have a dataframe in which you can replace the
city value using
if_else more easily.
I drew inspiration from this thread: dplyr: inner_join with a partial string match
I have a dataframe that I would like to transpose in a certain way, in which the "attr" column values become columns instead of values, while price stays as a column.
I have tried to group the columns and transpose it, but haven't found a way to get where I wanted. This is my dataset:...
ANSWERAnswered 2021-Oct-25 at 08:35
# produce data df = pd.DataFrame(data=[ ("Mærke", "Knauf Insulation", 24.95), ("Produkttype", "Bygningsisolering", 24.95), ("Serie", "SPACE", 24.95), ("Mærke", "Bromiflex", 20.00), ("Produkttype", "Rørskål", 20.00), ("Materiale", "Opskummet polyethylen", 20.00), ("Størrelse", "Ø18 MM", 20.00), ], columns = ("attr", "values", "price") ) # display data df.head() # output attr values price 0 Mærke Knauf Insulation 24.95 1 Produkttype Bygningsisolering 24.95 2 Serie SPACE 24.95 3 Mærke Bromiflex 20.00 4 Produkttype Rørskål 20.00 # transform data using *pivot* method df = df.pivot(columns="attr", values="values", index="price").reset_index() df.columns.name = None # show results df.head() # output price Materiale Mærke Produkttype Serie Størrelse 0 20.00 Opskummet polyethylen Bromiflex Rørskål NaN Ø18 MM 1 24.95 NaN Knauf Insulation Bygningsisolering SPACE NaN
I need to calculate the "hierarchy" column based on NR and NR_FROM-NR_TO, I'm not sure how to create a CTE/VIEW with such hierarchy column. This is what the result should look like:...
ANSWERAnswered 2020-Sep-17 at 15:34
Looks like this solution gives you what you need.
Why cant i acsess the dict that i am making here:...
ANSWERAnswered 2020-Aug-24 at 12:00
For what you seem to achieve, you need a
list instead of a
I am trying to group a List, with inner Lists, to a smaller result using C# lambda but sadly without success.
I got the following query which returns 8 records:...
ANSWERAnswered 2020-Jun-17 at 14:36
I usually do it like this
I want to map custom icons, which are defined in a json data object by the property name. I have multiple Icons. I wrote this code, but it's not working and my console says the error is in line 266,
"Uncaught TypeError: Cannot read property 'createIcon' of undefined" but I can't figure out the error.
ANSWERAnswered 2020-Apr-06 at 17:22
You get this error because in your
jsonDataObject you only have as name
Lidl and not
Netto Filiale. Moreover there is not an object for
Lidl in your
markerIcons dictionary. If you include in your
markerIcons an object for
Lidl you should be good and not get the error.
In google data studio I would like to make a
REGEXP_EXTRACT for getting the string after the first
| symbol (https://regex101.com/r/w3BqW4/2). I've tried the regex:
ANSWERAnswered 2020-Mar-02 at 16:36
If you want to capture every character after the first vertical bar, that would look like this
You don't need question mark after a
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