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What is an easy way in Golang to check if all characters in a string are upper case or lower case?

Also, how to handle a case where the string has punctuation?

See these examples:

package mainimport (    "fmt"    "unicode")func main() {    s := "UPPERCASE"    fmt.Println(s.IsUpper())  // Should print true    s = "lowercase"    fmt.Println(s.IsUpper())  // Should print false    s = "lowercase"    fmt.Println(s.IsLower())  // Should print true    s = "I'M YELLING AT YOU!"    fmt.Println(s.IsUpper())  // Should print true}

Note: s.IsUpper() and s.IsLower() doesn't really exist, but would be nice to find an equivalent.

How can I convert all values in an array to lowercase in PHP?

Something like array_change_key_case?

I am new in regular expression. I want to remove a uppercase letter if it has lowercase before and after it. If the input is "I wilYl go theXre" then the output should be "I will go there". How can I get it?

I am not sure of best way to convert all Strings in a collection to lowercase. Any thoughts?

    private Set<String> email;        if(userEmail instanceof Collection) {    this.email = new HashSet<String>((Collection<String>) userEmail);    model.put("userEmail", this.email); //need to convert this to lower case}

Thanks in advance :-)

I have a dataframe like the one displayed below:

# Create an example dataframe about a fictional armyraw_data = {'regiment': ['Nighthawks', 'Nighthawks', 'Nighthawks', 'Nighthawks'],            'company': ['1st', '1st', '2nd', '2nd'],            'deaths': ['kkk', 52, '25', 616],            'battles': [5, '42', 2, 2],            'size': ['l', 'll', 'l', 'm']}df = pd.DataFrame(raw_data, columns = ['regiment', 'company', 'deaths', 'battles', 'size'])

My goal is to transform every single string inside of the dataframe to upper case so that it looks like this:

Notice: all data types are objects and must not be changed; the output must contain all objects. I want to avoid to convert every single column one by one... I would like to do it generally over the whole dataframe possibly.

What I tried so far is to do this but without success

df.str.upper()