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I am trying to match the string present in the below dataframe's 'Disease' column with the key from the dict and if the string is present then change the value in the 'category' column to the value of the dict's key.

df =

Year category Pollutant Disease DiseaseCaseCount Industry 2016 null Pb hypertension 1025 b_battery_ltd 2016 null PM25 lung cancer 180 t_chemicals 2016 null PM25 lung cancer 180 t_powerplant 2016 null Cu lung cancer 200 b_miners 2016 null Cu lung cancer 200 a_preservative_pvt 2016 null PM25 acute bronchitis 367 t_chemicals 2016 null PM25 acute bronchitis 367 t_powerplant

and a dict

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the title is a bit confusing but I have a dataset that looks like this: head(df)

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I Have dataframe with column having a very long text per row, looks like this:

ID text id1 DIAGNOSTIC CEREBRAL ANGIOGRAM DATE: 8/26/2005 INDICATION: 78-year-old man with a history of shunted normal pressure hydrocephalus who more recently has been managed for a right-sided subdural hematoma. This was initially managed conservatively in the acute phase but progressed to an enlarging chronic subdural hematoma that was ultimately treated with burr hole drainage. Middle meningeal artery embolization was recommended to minimize the risk of future recurrence. COMPARISON: CT brain 8/24/2003 and CT brain MEDICATIONS: 1. Heparin 3500 units IV. 2. Nitroglycerin 200 mcg IA. 3. Verapamil 5 mg IA. 4. See anesthesia records for additional medications administered. CONTRAST: 150 mL Visipaque RADIATION DOSE: 16.3 min; 587.7 mGy IMPRESSION: Successful particle and coil embolization of the parietal branch of the right middle meningeal artery for treatment of a right-sided chronic subdural hematoma.

I would like to split this columns into multiple columns Phrases to split on

• Starts with “DATE:”
• Starts with “Medication:”
• Starts with “ IMPRESSION:”
• Starts with “ INDICATION:”
• Starts with “ COMPARISON:”

I need the final dataframe to look like this

id DATE INDICATION COMPARISON MEDICATIONS IMPRESSION id1 8/26/2005 78-year-old man with a history of shunted normal pressure hydrocephalus who more recently has been managed for a right-sided subdural hematoma. This was initially managed conservatively in the acute phase but progressed to an enlarging chronic subdural hematoma that was ultimately treated with burr hole drainage. Middle meningeal artery embolization was recommended to minimize the risk of future recurrence. CT brain 8/24/2003 and CT brain 8/26/2003 1. Heparin 3500 units IV. 2. Nitroglycerin 200 mcg IA. 3. Verapamil 5 mg IA. 4. See anesthesia records for additional medications administered. CONTRAST: 150 mL Visipaque RADIATION DOSE: 16.3 min; 587.7 mGy Status post left pterional craniotomy for clipping of a left middle cerebral artery trifurcation aneurysm with no evidence of residual aneurysm ...

I have a tab delimited file that looks like this:

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I have a very big text (.sql) file, and I want to get all the links out of it in a nice clean text file, where the link are all one in each line.

I have found the following command grep -Eo "https?://\S+?\.html" filename.txt > newFile.txt from anubhava, which nearly works for me, link: Extract all URLs that start with http or https and end with html from text file

Unfortunately, it does not quite work: Problem 1: In the above link, the webpages end with .html. Not so in my case. They do not have a common ending, so I just have to finish before the second ' symbol.

Problem 2: I do not want it to copy the ' symbol.

To give an example, (cause, I think I explain rather bad here):

Say, my file says things like this:

Not him old music think his found enjoy merry. Listening acuteness dependent at or an. 'https://I_want_this' Apartments thoroughly unsatiable terminated sex how themselves. She are ten hours wrong walls stand early. 'https://I_want_this_too'. Domestic perceive on an ladyship extended received do. Why jennings our whatever his learning gay perceive. Is against no he without subject. Bed connection unreserved preference partiality not unaffected. Years merit trees so think in hoped we as.

I would want

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Given this sample dataframe:

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I am new to regex and I have been going round and round on this problem.

PHP: Check alphabetic characters from any latin-based language? gives the brilliant regex to check for any characters in the Latin script, which is part of what I need.

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This question is on turning the copy pasted columns from Excel into a SQL statement. My current process includes manually replacing things. After using some notepad++ functionality to control h to remove and replace all occurrences of something, and I love that notepad++ offers additional functionality. I’m just not sure how to use this functionality to get a lot closer to the end product. I feel like I can’t operate the gas and brakes normally when I have to do this, and it would be really nice to automate. Maybe I just feel that way because I know it’s probably easy, or at least it bugs me so much I think that.

Copy/paste from excel into (it looks like this is notepad++):

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I am trying to convert string to seo friendly url. For this I have written below code and set the table column collation type to utf8_general_ci It is working for English but not working for Bengali Language. Just outputting single hypen(-) for bengali string

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