pert | simple command line utility to estimate | Analytics library

A quick fix could be manually setting the legend handles colors. You need to get the current axis with .gca(), then get the legend from the axis and manually set the color by iterating over them (the code needs to be inserted after the legend call):

You missed that add_edge returns the key in a Multi(Di)Graph. Adding the return resolves your issue:

See that you only specify to get arguments, not keyword arguments(weight in your case.)

Try adding **kwargs like add_edge(self, *args,**kwargs), and it should be fine. Also dont forget to update the super after that. :)

Column headers

1.1 displayFirstRowHeaders for first-row header columns, mainly hold monthYear. Example: 'header-Aug-2021'.

1.1.1 These headers require rowspan=3 except monthYear.

1.1.2 monthYear headers require colspan=9.

1.2 displaySecondRowHeaders for second-row header columns. Example: 'second-header-Aug-2021-compteurFDP'.

1.2.1 These headers require colspan=3.

1.3 displayedColumns for third-row header columns and data columns. Example: 'Aug-2021-compteurFDP-cp'.

1.4 displayMonthColumns for generating columns via *ngFor.

Data Transformation

2.1 Generate object (mnthObj) from mnth with formatted month and item as key-value pair via reduce.

3.1 Create new array result with existing visionCompacteDTO object and mnthObj via map.

Pre-requisite:

• Install moment via npm

1.0 Retrieve first row's mnth and add into displayedColumns and displayedMonthColumns arrays.

1.1 Add into displayedColumns for the columns must be existed and be required by mat-header-row and mat-row.

1.2 Add into displayedMonthColumns for generating columns via *ngFor.

2.1 Generate object (mnthObj) from mnth with month and solde as key value pair via reduce.

3.1 Create new array result with existing visionCompacteDTO object and mnthObj via map.

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So I found a solution thanks to https://superuser.com/a/1618446/757755 I successfully used option 2 and used port forwarding, with the script found here. Remember that your PowerShell script has to be ran as administrator.

The issue here is that you're trying to get multiple mutable references from the HashMap, which owns the tasks and can only safely give out one mutable reference at a time. By changing the VecDeque to take a &Task, and using .get() instead of .get_mut() on the hashmap in completion_time(), the program will compile.

It doesn't look like you're mutating the task in this example, but assuming that you want to modify this example to mutate the task, the best way is to use interior mutability within the Task struct itself, which is usually achieved with the RefCell type. Any value inside of the Task struct that you want to mutate, you can wrap in a RefCell<>, and when you need to mutate the value, you can call .borrow_mut() on the struct field to get a temporarily mutable reference. This answer explains it in a bit more detail: Borrow two mutable values from the same HashMap

I hope I have understood correctly.

This is your dataframe:

After a lot of searching and trial and error, I was able to use Wordnet 3.1 on NLTK (Python). I tweaked this gist to make it work. I am providing the details below.

I divided the code provided in the gist in 3 parts.

Part 1. download_extract.py