special-characters

I have been receiving excel files for awhile that are usually plagued with the special character alt+0160 after the accounts. I usually just manually replace it in excel but recently I've grown lazy and want to replace it using my VBA script. This script is used to insert the needed columns into our database: Sub insert() Dim sSql As String Dim db As New ADODB.Connection 'Go to Tools, References and turn on ActiveX Data Objects 2.8 Library db.Open "DSN=XXXX;uid=XXXX;pwd=XXXX" 'INSERT ORACLE NAME AND PASSWORD For i = 2 To 92 'Change Rows where it starts and ends strAccount = Replace(Trim(Range(

I have 1000 tables with more than 100000 records in each table in mysql. The tables have 300-500 columns. Some of tables have columns with special characters like .(dot) and space in the column names. Now I want to do sqoop import and create a hive table in HDFS in a single shot query like below sqoop import --connect ${domain}:${port}/$(database) --username ${username} --password ${password}\ --table $(table) -m 1 --hive-import --hive-database ${hivedatabase} --hive-table $(table) --create-hive-table\ --target-dir /user/hive/warehouse/${hivedatabase}.db/$(table) After this the hive table is

I am trying to execute an SQL query which is stored in the file. I am using following command to execute: psql -d DB_NAME -a -f QUERY_NAME.sql I have some non English text in the SQL file like - સુરત When the query is executed the text in the database looks like - à ª¸à «Âà ª°à ª¤ How do I execute the query from command line so that it runs correctly? Make sure the client_encoding matches the encoding of your file. Check your system locale. Then use a matching command line argument for psql. Quoting the manual here: If at least one of standard input or standard output are a terminal,

Hopefully im not missing an already existing answer to this question. Im working with a wordpress theme that uses jquery ui autocomplete to provide category selections in a front end form. Code is below. Problem is that if a category name has an &, it cant display the character and instead shows & in the autocomplete box. Can i make it show the character properly? ` jQuery(function(){ /* Auto Complete */ var availableTags = [ <?php $terms_array = array(); $terms = get_terms( 'majors', 'hide_empty=0' ); if ($terms) foreach ($terms as $term) { $terms_array[] = '"'.$term->name.'"'; } echo implode

I have a search box on my site and i need to replace all the Spanish characters that user types in to equivalent English alphabets. I have coded which is shown below. This is not working when i plug in it to the my Project and even when create a simple html page which coded same. My page is using <meta charset="utf-8" /> . This is working fine when i created a fiddle http://jsfiddle.net/KJAy3/ . This is how it it is show in the debugger What am i doing wrong? What kind of encoding i am supposed to us? This Replace method is triggered before the form submit. function encodeSearch(term){ term

I would like to match these characters: [ ] ( ) in a character class in a regex, how can I do that? echo 'some text (some text in parenthesis) [some other in brackets]' | grep '[\[\]\(\)]' This one doesn't match any character. You can use it like this: echo 'some text (some text in paranthesis) [some other in brackets]' | grep -o '[][()]' ( ) [ ] You don't need to escape ( and ) inside a character class. Moreover if you place ] and [ right after opening [ then you don't need to escape them either. Just FYI: Accoding to the grep documentation, section 3.2 Character Classes and Bracket

I am trying to use df['column_name'].str.count("+") in python pandas, but I receive "error: nothing to repeat" . With the regular characters the method works, e.g. df['column_name'].str.count("a") works fine. Also, there is a problem with the "^"-sign. If I use df['column_name'].str.contains("^") the result is incorrect - it looks like "^" gets interpreted as " " (empty space). Surprisingly, if I use .count("+") and .contains("^") on a regular, non-pandas string they work perfectly fine. simple working example: df = pd.DataFrame({'column1': ['Nighthawks+', 'Dragoons'], 'column2': ['1st', '2nd'