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I'm trying to create my first map using ggrepel, but as you can see I've instead created a dumpster fire of overlapping labels. Most of the locations I'm mapping and labelling are clustered in the northeast, so the labels overlap. How do I get some of the labels to slide over beyond the map boundaries (in the ocean, so to speak)? Here's the code I used to create this monster:

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I would like to subtract Bay County from Florida in this data frame and create a new row with the name "Florida (-Bay County)".

Maybe group_modify and add_row (dplyr) would be a possibility?

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I have a name delimiter that I want to use to extract the whole line where it is found.

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I don't understand why in the below query there has to be reference to zones table twice (as zpu and zdo). When I try modified query with one "zones" table instead of splitting it into zpu and zdo I have different outcome. The outcome table has to have two columns, one with pickup location and second with dropoff location. Locations are contained withing "zones" table.

Can't figure out why is that and what am I lacking in SQL mechanics.

Tables:

Trips

tpep_pickup_datetime tpep_dropoff_datetime total_amount PULocationID DOLocationID "2021-01-01 00:30:10" "2021-01-01 00:36:12" 11.8 142 43 "2021-01-01 00:51:20" "2021-01-01 00:52:19" 4.3 238 151 "2021-01-01 00:43:30" "2021-01-01 01:11:06" 51.95 132 165 "2021-01-01 00:15:48" "2021-01-01 00:31:01" 36.35 138 132 "2021-01-01 00:31:49" "2021-01-01 00:48:21" 24.36 68 33 "2021-01-01 00:16:29" "2021-01-01 00:24:30" 14.15 224 68 "2021-01-01 00:00:28" "2021-01-01 00:17:28" 17.3 95 157 "2021-01-01 00:12:29" "2021-01-01 00:30:34" 21.8 90 40

Zones

LocationID Borough Zone 1 EWR Newark Airport 2 Queens Jamaica Bay 3 Bronx Allerton/Pelham Gardens 4 Manhattan Alphabet City Yellow Zone 5 Staten Island Arden Heights 6 Staten Island Arrochar/Fort Wadsworth 7 Queens Astoria 8 Queens Astoria Park 9 Queens Auburndale 10 Queens Baisley Park

Query

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I have a ModelForm for a model that has a couple of files and with every file, a type description (what kind of file it is). This description field on the model has CHOICES. I have set these file uploads and description uploads as hidden fields on my form, and not required. Now the file upload is working, but the description is giving field errors, the placeholder in the dropdown is not a valid choice, it says. That's true, but since it is not required, I would like it to just be left out of the validation and I am stuck on how.

My codes, shortened them up a bit to keep it concise.

models.py

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I know there is a few questions on SO regarding the conversion of JSON file to a pandas df but nothing is working. Specifically, the JSON requests the current days information. I'm trying to return the tabular structure that corresponds with Data but I'm only getting the first dict object.

I'll list the current attempts and the resulting outputs below.

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I have been dealing with this particular situation. I have a form in which the user can put some data and save it. He can do that several times creating a record of similar items. The app creates a string with this data and saves it in the localStorage. The user is able to retrieve the data on a page created with an accordion system where he can see it separately just as he typed before. Now I need to get some data from the LocalStorage to show it in a page which is out of the DOM of the app.

This is the js controller code where I want to show the data:

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My Data is follows:

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I need to read lines from a text file and extract the quoted person name and quoted text from each line.

lines look similar to this:

"Am I ever!", Homer Simpson responded.

Remarks:

Hint: Use the returned object from the 'open' method to get the file handler. Each line you read is expected to contain a new-line in the end of the line. Remove the new-line as following: line_cln =line.strip()

There are the options for each line (assume one of these three options): The first set of patterns, for which the person name appears before the quoted text. The second set of patterns, for which the quoted text appears before the person. Empty lines.

Complete the transfer_raw_text_to_dataframe function to return a dataframe with the extracted person name and text as explained above. The information is expected to be extracted from the lines of the given 'filename' file.

The returned dataframe should include two columns:

• person_name - containing the extracted person name for each line.
• extracted_text - containing the extracted quoted text for each line.

The returned values:

• dataframe - The dataframe with the extracted information as described above.

• Important Note: if a line does not contain any quotation pattern, no information should be saved in the corresponding row in the dataframe.

what I got so far: [edited]

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