Quincy | An IDE for Pawn

I have a dataset with two columns on_road and at_road, the combination of which make up a string called geocode_string. With this string, I wish to geocode these intersections using my google API key. As an example, I have on_road = Silverdale and at_road = W 28th St, which combine to form geocode_string = Silverdale and W 28th St, Cleveland, OH.

However, when I try and use the geocode function from ggmap, I get this message: "SILVERDALE and W ..." not uniquely geocoded, using "silverdale ave, cleveland, oh 44109, usa".

It seems in this case that R just assumes a location by default, in this case just silverdale ave. I would like to have R not do this- perhaps just to leave blank the locations for which a unique geocode cannot be found. I can then go through and manually find the coordinates for such cases. I just would like to flag the observations in some way.

I'd also like to point out that in the second row of the dataset, I get S MARGINAL RD and W 93RD ST , CLEVELAND , OH, an intersection that does not exist in Cleveland. When I paste that string into google maps, it seems to search for a partial match and gives me the coordinates for S Marginal Rd. Any thoughts why an intersection that does not exist would generate coordinates in this case, but not the Silverdale case described above? Is there any way to prevent this from happening?

I would greatly appreciate any help!

A previous question asked about hiding a column in a pysimplegui table here. Using the same code can I update the visible map to change the current visibility (flip them both). I changed the update line to include visible_column_map, but that fails the update (I know it doesn't really flip but just wanted quick example). Is there a way to do this or do I need two different tables?

I am new to airflow. I set up everything according to official documentation. I use pet example DAG, nevertheless when i look into DAG log it shows me following errors:

First error comming from populate_pet_table

I have the nodes and edges datasets below and I would like to know if I could run the simple path function for more than one names at once instead of one at a time.

I have the nodes and edges dataframes below and then I create a graph object gph. After that I create an list of igraph.vs objects named asp with all simple paths. Then I want to be able to use a for loop, or a lappy() in order to create as many dataframes as the length of the list with the names of each igraph.vs object, as nodes datasets, and based on those nodes datasets to create as many relative edges datasets. Then I use nodes and edges to create all networks and then as many .png as networks. So if the list of asp contains 7 igraph.vs objects I should create 7 .png files. Below is the process for 1 file.

I have the nodes and edges dataframes below and then I create a graph object gph. After that I create an list of igraph.vs objects named asp with all simple paths. Then I want to be able to use a for loop in order to create as many dataframes as the length of the list with the names of each igraph.vs object.

I am fairly new to react, I am developing a component that will get data from a local JSON file and output it on to a table component.

I am currently stuck on a loading screen, I am getting the following error, Uncaught (in promise) SyntaxError: Unexpected token < in JSON at position 0

My first thoughts were that the JSON file was potentially broken, I have tested the JSON file using JSON lint and it is valid.

App.js

Let's say i have a table :

Attempt

After reading a large json file and capturing only the 'text' column, I would like to add a column to dataframe and set all rows to a specific value: