Explode multiple list columns with not same value length

I’m trying to explode dataframe that have multiple columns as list and list of length is different. Below is my dataframe: import pandas as pd import numpy as np df = pd.DataFrame({‘Name’: [‘Name1′,’Name2’], ‘Time’: [[0.0, 5.0, 10.0, 15.0],[0.0, 4.0, 28.0, 48.0]], ‘Values’: [[0.0, 5.0, 10.0],[0.0, 4.0, 48.0]]}) df Name Time Values 0 Name1 [0.0, 5.0,… Read More Explode multiple list columns with not same value length

PHP: Only show first word of a custom taxonomy

This is my code for displaying a taxonomy (WordPress): <?php $locations = get_the_terms($post->ID , ‘location’); foreach ($locations as $location) { echo ‘<div class="term-location">’; echo $location->name . ‘ ‘; echo ‘</div>’; } ?> How can I modify the code to only display the first word of the taxonomy? I’ve tried it using explode but I can’t… Read More PHP: Only show first word of a custom taxonomy

Splitting a column to create new columns

I have a dataframe df and a column LongColumn that that has rows like this: ABC.DEF.GHI.Address.Street.Phone.Email.Category1.Beta.MyResults.New ABC.DEG.GGI.Address.Postcode.Phone.Email.Category2.Alpha.MyResults.Old ABC.DEG.GGI.JFK.Address.Postcode.Phone.Email.Category3.Alpha.MyResults.Old DEG.III.JFK.Address.Postcode.Phone.Email.Category2.Beta.MyResults.Old I am only interested in the rows that contain MyResults I want to take the three parts Category1.Beta.MyResults, Category2.Alpha.MyResults etc. and make three columns out of them, but since there is a different number of "words"… Read More Splitting a column to create new columns

How to add each word or get string as separate entry to database

$stuffname=$_GET[‘stuffname’]; $pieces = explode(" ", $stuffname); $pieces can have any number of words in it. I want to loop this query so that each word is added from pieces as a separate entry into the table keywords $query=$con->prepare("INSERT INTO keywords (stuffname) VALUES (?)"); $query->execute([$pieces]); Thanks for your time >Solution : It’s unclear if you’ve tried… Read More How to add each word or get string as separate entry to database

Convert nested list to a dataframe using Pandas Python

I have the below nested list: lisA = [[‘Monday’, [‘Cherry’, ‘Mango’]], [‘Tuesday’, [‘Blueberry’, ‘Apple’, ‘Grape’]], [‘Wednesday’, [‘Apple’, ‘Orange’]], [‘Thursday’, [‘Watermelon’, ‘Kiwi’, ‘Apple’]], [‘Friday’, [‘Orange’, ‘Cherry’]]] I need to convert this nested list to a dataframe which looks like the below: | Day | Item | | ——– | ————– | | Monday | Cherry |… Read More Convert nested list to a dataframe using Pandas Python

Decomposing a string into words separared by spaces, ignoring spaces within quoted strings, and considering ( and ) as words

How can I explode the following string: +test +word any -sample (+toto +titi "generic test") -column:"test this" (+data id:1234) into Array(‘+test’, ‘+word’, ‘any’, ‘-sample’, ‘(‘, ‘+toto’, ‘+titi’, ‘"generic test"’, ‘)’, ‘-column:"test this"’, ‘(‘, ‘+data’, ‘id:1234’, ‘)’) I would like to extend the boolean fulltext search SQL query, adding the feature to specify specific columns using… Read More Decomposing a string into words separared by spaces, ignoring spaces within quoted strings, and considering ( and ) as words

(Python) Transform dataframe: parse rows if more than one value is given and add to corresponding given rows of dataframe

Sample dataset I have looks like this: Language Count Russian 1000 English 1500 Spanish 500 Arabic,Russian, English, Spanish 2 Arabic, English 15 I want it to transform so that the result looks like this: Language Count Russian 1002 English 1517 Spanish 502 Arabic 17 So what happened is that, I parsed rows that contained more… Read More (Python) Transform dataframe: parse rows if more than one value is given and add to corresponding given rows of dataframe