houston | Apple Push Notifications ; No Dirigible | Notification library

You need to iterate through the 2D array and need to match the given userName, with each Name in the array and if match is found you can return the user details wrapped in a custom class

While my solution isn't exactly what you describe under Option 2, it is close. We use combineWidgets() to create a grid with a single column and a row height where one graph covers most of the screen height. We squeeze in a link between each widget instance that scrolls the browser window down to show the following graph when clicked.

Let me know if this is working for you. It should be possible to automatically adjust the row size according to the browser window size. Currently, this depends on the browser window height being around 1000px.

I modified your code for the graph creation slightly and wrapped it in a function. This allows us to create 25 different-looking graphs easily. This way testing the resulting HTML file is more fun! What follows the function definition is the code to create a list of HTML objects that we then feed into combineWidgets().

The reason for the error is that there is no 8 and there are 2 12s.

I was not able to figure out how to do this with "visIgraph()" function - but I think I was able to figure out how to generate a random graph (meeting certain conditions: Generating Random Graphs According to Some Conditions) and using the regular "visNetwork()" function and then place a title on this graph:

Not sure to fully understand what you are looking for but:

1. If you want the vertices to be placed randomly and not on a circle, you just need to use the argument layout = "layout_randomly" inside the visIgraph() function.

2. If you want the vertices to be placed randomly and on a circle, you need to use the permute() function and then just add the argument layout = "layout_circle" inside the visIgraph() function.

Please find below a reprex.

Reprex

• Your data

Please find below one possible solution.

Reprex

• Your data

df.dtypes returns a Series where each value is a numpy.dtype object. To get these dtype names as strings and map them, you can cast them to strings with .astype:

To get the data of the local business, you can parse the Json data embedded inside the page. For example:

You need to do the pivoting in two steps:

• combining home and away
• combining away_expected_points and home_expected_points

Under is an example. I'm calling the data you provided df: