namu | Write code , Without code | Translation library
kandi X-RAY | namu Summary
kandi X-RAY | namu Summary
namu is a programming language that makes it possible to write code in English sentences without knowledge of programming.
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QUESTION
Using this piece of code in html.slim view file to change ending of a name from e
to ai
, and it works fine:
@provider_user.name.split.map {|w| (w.end_with?('e') ? (w.chomp(w[w.length - 1]) + 'ai') : w) }.join(" ")
And using this pease for multiple options:
@provider_user.name.split.map {|w| (w.end_with?('e') ? (w.chomp(w[w.length - 1]) + 'ai') : (w.end_with?('d') ? (w.chomp(w[w.length - 1]) + 'i') : (w.end_with?('as') ? (w.chomp(w[w.length - 1]) + 'u') : w))) }.join(" ")
All good when only last string needs to be changed, like name = namai, namd = nami
.
However for (w.end_with?('as') ? (w.chomp(w[w.length - 1]) + 'u')
i get namas = namau
, instead of namas = namu
.
Guess it is due to length - 1
which makes a replacement of last string only.
How can it be adjusted to replace more that last string?
...ANSWER
Answered 2018-Dec-07 at 15:16Just chomp with the last two characters
QUESTION
I have some problems with pandas dataframes join. This is frustrating because it is full of the misspellings and errors. There are two dataframes: the customer dataframe (cust_df) and the credit cards dataframe (cc_df). Both dataframes contains : its id column, name, date of birth, national id number and mobile number. I want to get CUST_ID (from custdf) for every CC_ID (from ccdf). Usually we can do pd.join then stated the key columns; however in this case the unique keys are not accurate (some of them are wrong) thats why multiple columns are needed. Below are the example:
Sample data for cust_df:
ANSWER
Answered 2018-May-07 at 10:42You can use merge_asof:
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