Pathology | A library for encoding/decoding CGPath data | Messaging library

IIUC, use value_counts:

You can use flatMap:

I assume you have a (spring) rest server and a java(fx) client. In the client you could go something like this:

Update your spec like below.

"/apps/v1" to "apps/v1"

What you want is margin-right not padding-right. Padding clears an area around the content. While margin clears an area outside the border. You can look at it as padding, being the space inside the border, and margin being the space outside. Adding padding-right to your input would give it more space inside it instead of outside it. More on CSS box model here.

This is as concise as it gets

In this class, I do not ever want a user to pass in a value for id, I always wish to generated it upon construction.

Based on the above desired result, my recommendation is to define id as a (read-only) property. The benefits of defining it as a property is that it won't be treated as an instance attribute, and coincidentally it won't accept a value via the constructor; the main drawback is that it won't show in the class's __repr__ value (assuming we use the generated one we get from dataclasses) or in the dataclasses.asdict helper function.

I've also taken added a few additional changes in the implementation as well (hopefully for the better):

• Re-declare the class as a dataclass, which I personally prefer as it reduces a bit of boilerplate code such as an __init__ constructor, or the need to define an __eq__ method for example (the latter to check if two class objects are equal via ==). The dataclasses module also provides a helpful asdict function which we can make use of in the serialization process.

• Use built-in JSON (de)serialization via the json module. Part of the reason for this decision is I have personally never used the jsonpickle module, and I only have a rudimentary understanding of how pickling works in general. I feel that converting class objects to/from JSON is more natural, and likely also performs better in any case.

• Add a from_json_file helper method, which we can use to load a new class object from a local file path.

There's a few things here;

1. you need to store the read count, and use only that many bytes, i.e. var bytes = sock.Receive(buffer); (and use bytes for both the EOF test, and for how many bytes to process)
2. we can't use ToString().Length > 1 here, because it is an integer and every integer, as a string, has a non-zero length; instead, simply: if (bytes > 0) (minutiae: there is a scenario where an open socket can return zero without meaning EOF, but... it doesn't apply here)
3. even for a text protocol, you can't necessarily simply use Encoding.UTF8.GetString(buffer, 0, bytes), because UTF8 is a multi-byte encoding, meaning: you might have partial characters; additionally, you don't yet know whether that is one message, half a message, or 14 and a bit messages; you need to read about the protocol's "framing" - which might simply mean "buffer bytes until you see a newline ('\n') character, decode those buffered bytes via the encoding, process that message, and repeat"

• I would use pandas.DataFrame.plot, which plots the index as the xaxis. As such, the dataframe needs to be transposed with .T
  • This uses matplotlib and the default plotting backend
• Using subplots=True, df.plot is assigned to axes, which is an array of arrays of AxesSubplots
• Annotations can be added with .bar_label, which can have customized labels using the labels= parameter. The following links have examples of customizing the labels.
  • Bar Label Demo
  • stack bar plot in matplotlib and add label to each section
  • How to add multiple annotations to a barplot
  • How to plot a horizontal stacked bar with annotations
• Tested in pandas 1.3.0 and matplotlib 3.4.2