abscissa | Application microframework with command-line option parsing | Parser library

 by   iqlusioninc Rust Version: v0.7.0 License: Apache-2.0

kandi X-RAY | abscissa Summary

kandi X-RAY | abscissa Summary

abscissa is a Rust library typically used in Utilities, Parser applications. abscissa has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Abscissa is a microframework for building Rust applications (either CLI tools or network/web services), aiming to provide a large number of features with a minimal number of dependencies, and with a strong focus on security.
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              abscissa has a low active ecosystem.
              It has 530 star(s) with 35 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 18 open issues and 31 have been closed. On average issues are closed in 199 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of abscissa is v0.7.0

            kandi-Quality Quality

              abscissa has 0 bugs and 0 code smells.

            kandi-Security Security

              abscissa has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              abscissa code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              abscissa is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              abscissa releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            abscissa Key Features

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            abscissa Examples and Code Snippets

            No Code Snippets are available at this moment for abscissa.

            Community Discussions

            QUESTION

            How to make a function to check if the combination and or redundancy of words has a correlation with the number of sales?
            Asked 2022-Feb-16 at 21:52

            In my dataframe highlighting product sales on the internet, I have a column that contains the description of each product sold.

            I would like to create an algorithm to check if the combination and or redundancy of words has a correlation with the number of sales.

            But I would like to be able to filter out words that are too redundant like the product type. For example, my dataframe deals with the sale of wines, so the algorithm must not take into account the word "wine" in the description.

            In my df I have 700 rows consisting of 4 columns:

            • product_id: id for each product
            • product_price: product price
            • total_sales: total number of product sales
            • product_description: product description (e.g.: "Fruity wine, perfect as a starter"; "Dry and full-bodied wine"; "Fresh and perfect wine as a starter"; "Wine combining strength and character"; "Wine with a ruby ​​color, full-bodied "; etc...)

            Edit: I added:

            • the column 'CA': the total sales by product * the product's price
            • an example of my df

            My DataFrame example:

            ...

            ANSWER

            Answered 2022-Feb-16 at 02:22

            Your question is a combination of text mining tasks, which I try to briefly address here. The first step is, as always in NLP and text mining projects, the cleaning one, including removing stop words, stop characters, etc.:

            Source https://stackoverflow.com/questions/71114404

            QUESTION

            How to make the x-axis data of echarts selectable
            Asked 2022-Jan-27 at 02:14

            I want to make the x-axis data selectable, that is, I can click a component, and then the x-axis will appear the corresponding abscissa, and then click again, and the abscissa will disappear. I want to make each abscissa selectable to display or not to display. Taking the following chart as an example, I can selectively look at the data of Monday and Saturday, or look at the data of Friday, This is the case.

            ...

            ANSWER

            Answered 2022-Jan-27 at 02:14

            I use 'class' as judgment to change dataset.
            A stupid solution.
            For your reference.Maybe you can make it better

            Source https://stackoverflow.com/questions/70846299

            QUESTION

            different formatter for the mouse position in an interactive window
            Asked 2022-Jan-01 at 14:28

            I have a plot where in abscissa I have the year 2022, and in ordinate a function of time

            ...

            ANSWER

            Answered 2022-Jan-01 at 14:28

            ax.fmt_xdata controls the formatting of the coordinate in the status bar. By default, it uses the same format as the x-axis, but you can assign a more specific one.

            Here is an example:

            Source https://stackoverflow.com/questions/70545859

            QUESTION

            Selecting random values from a pdf with scipy
            Asked 2021-Dec-16 at 10:31

            Given the dataframe:

            Brick_cp = pd.DataFrame({"CP":Brick_cp})

            which corresponds to this distribution:

            ...

            ANSWER

            Answered 2021-Dec-16 at 10:31

            Sampling from Gaussian is a very common thing, therefore there is a simple way to do this given the mean (loc) and standard variation (scale) of the pdf (e.g. with numpy.random.normal()):

            Source https://stackoverflow.com/questions/70377108

            QUESTION

            Python and Matplotlib, how to add multiple window?
            Asked 2021-Sep-25 at 13:55
            """
            Description: The goal is to model a population of people who are infected with a virus.
            """
            
            # TODO: Make a curve for each case so we can see in real time how much the virus is spreading.
            
            # -------------------- IMPORTS --------------------
            
            
            from random import randint, random
            from matplotlib import pyplot as plt, animation as anim
            import math
            
            
            # --------------------  GLOBAL VARIABLES --------------------
            
            
            number_of_dots = 100  # number of dots to generate
            shape = "o"  # tip: use '.' instead if you put a value < 3 in minimal_distance
            
            HEIGHT_WIDTH = 100  # Window height and width (yes, window shape must be a square)
            BORDER_MIN = 1  # minimum distance from the border
            BORDER_MAX = HEIGHT_WIDTH - 1  # maximum distance from the border
            
            minimal_distance = 3  # Minimal distance at initialization and for contamination
            time = 0  # Time to initialize
            time_step = 0.1  # Time step for the simulation
            
            transmission_rate = 0.7  # Chance of a dot to be infected
            time_to_cure = 40  # Time to cure a dot
            time_before_being_contagious_again = 40  # Time before being contagious again
            virus_mortality = 0.0005  # Chance of a dot to die per tick
            
            
            # -------------------- CLASSES & METHODS --------------------
            
            
            class Dot:
                def __init__(self, x: int, y: int):
                    """Constructor for the Dot class
            
                    Args:
                        x (int): abscissa of the dot
                        y (int): ordinate of the dot
                    """
                    self.x = x
                    self.y = y
                    self.velx = (random() - 0.5) / 5
                    self.vely = (random() - 0.5) / 5
                    self.is_infected = False
                    self.infected_at = -1
                    self.has_been_infected = False
                    self.cured_at = -1
            
                def init_checker(x: int, y: int, already_used_coords: list):
                    """Checks if the dot is in a distance of a minimal_distance from another dot
            
                    Args:
                        x (int): absissa of the dot
                        y (int): ordinate of the dot
                        already_used_coords (list): list of already occupated coordinates (by initialized dots)
            
                    Returns:
                        boolean: Whether the Dot should be initialized or not
                    """
                    for coord in already_used_coords:
                        if Dot.get_distance(coord[0], x, coord[1], y) < minimal_distance:
                            return False
                    return True
            
                def get_distance(x1: float, y1: float, x2: float, y2: float):
                    """Gets the distance between two Dot objects
            
                    Args:
                        x1 (float): abscissa of the first dot
                        y1 (float): ordinate of the first dot
                        x2 (float): abscissa of the second dot
                        y2 (float): ordinate of the second dot
            
                    Returns:
                        float: distance between the two dots
                    """
                    return math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2)
            
                def initalize_multiple_dots():
                    """Generates a list of Dots
            
                    Returns:
                        list: initialized dots
                    """
                    dots = []
                    already_used_coords = []
            
                    while len(dots) != number_of_dots:
                        randx = randint(BORDER_MIN, BORDER_MAX)
                        randy = randint(BORDER_MIN, BORDER_MAX)
                        # So the dots keep distances between each other
                        if Dot.init_checker(randx, randy, already_used_coords):
                            dot = Dot(randx, randy)
                            already_used_coords.append((randx, randy))
                        else:
                            continue
                        dots.append(dot)
                    print("There are", len(dots), "dots in the area.")
                    return dots
            
                def move(self):
                    """Moves the dot and makes sure they don't go out of the area or touch each other. They've 4% chance to change direction."""
                    global dots, dead_dots
            
                    if random() < 0.96:
                        self.x = self.x + self.velx
                        self.y = self.y + self.vely
            
                    else:
                        self.x = self.x + self.velx
                        self.y = self.y + self.vely
                        # Change 2 to lower value to make the dots go faster
                        self.velx = (random() - 0.5) / (2 / (time_step + 1))
                        # Change 2 to lower value to make the dots go faster
                        self.vely = (random() - 0.5) / (2 / (time_step + 1))
            
                    if self.x >= BORDER_MAX:
                        self.x = BORDER_MAX
                        self.velx = -1 * self.velx
            
                    if self.x <= BORDER_MIN:
                        self.x = BORDER_MIN
                        self.velx = -1 * self.velx
            
                    if self.y >= BORDER_MAX:
                        self.y = BORDER_MAX
                        self.vely = -1 * self.vely
            
                    if self.y <= BORDER_MIN:
                        self.y = BORDER_MIN
                        self.vely = -1 * self.vely
            
                    if (
                        random() < transmission_rate
                        and not self.has_been_infected
                        and not self.is_infected
                    ):
                        for dot in dots:
                            if (
                                dot.is_infected
                                and Dot.get_distance(self.x, self.y, dot.x, dot.y)
                                < minimal_distance
                            ):
                                self.is_infected = True
                                self.infected_at = time
                                break
                    
                    if self.is_infected and random() < virus_mortality:
                        dead_dots.append(self)
                        dots.remove(self)
            
                def move_all(dots: list):
                    """Moves a given list of dots. Make sur that infected dots goes in the correct axes
            
                    Args:
                        dots (list): List of Dot objects
                    """
                    global healthy_dots, infected_dots, cured_dots, time
                    for dot in dots:
                        dot.move()
                        if (
                            dot.is_infected
                            and dot.infected_at != -1
                            and dot.infected_at + time_to_cure < time
                        ):
                            dot.is_infected = False
                            dot.has_been_infected = True
                            dot.cured_at = time
            
                        if (
                            dot.has_been_infected
                            and dot.cured_at != -1
                            and dot.cured_at + time_before_being_contagious_again < time
                        ):
                            dot.has_been_infected = False
                            dot.infected_at = -1
                            dot.cured_at = -1
            
                    healthy_dots.set_data(
                        [
                            dot.x
                            for dot in dots
                            if not dot.is_infected and not dot.has_been_infected
                        ],
                        [
                            dot.y
                            for dot in dots
                            if not dot.is_infected and not dot.has_been_infected
                        ],
                    )
            
                    infected_dots.set_data(
                        [dot.x for dot in dots if dot.is_infected],
                        [dot.y for dot in dots if dot.is_infected],
                    )
            
                    cured_dots.set_data(
                        [dot.x for dot in dots if dot.has_been_infected],
                        [dot.y for dot in dots if dot.has_been_infected],
                    )
            
                    time += time_step
                    plt.title(
                        f"Healthy: {len([dot for dot in dots if not dot.is_infected and not dot.has_been_infected])}"
                        + f"   |   Infected: {len([dot for dot in dots if dot.is_infected])}"
                        + f"   |   Cured: {len([dot for dot in dots if dot.has_been_infected])}"
                        + f"   |   Dead: {len([dot for dot in dead_dots])}",
                        color="black",
                    )
            
                    
                    def updateAxes():
                        """Updates axes of the second window"""
            
            
            # -------------------- MAIN FUNCTION --------------------
            
            
            def main():
                global dots, dead_dots, axes
            
                dots = Dot.initalize_multiple_dots()
                random_infected = randint(0, len(dots) - 1)
                dots[random_infected].is_infected = True
                dots[random_infected].infected_at = time
            
                figureDots = plt.figure(facecolor="white")
                axes = plt.axes(xlim=(0, HEIGHT_WIDTH), ylim=(0, HEIGHT_WIDTH))
            
                global healthy_dots
                healthy_dots = axes.plot(
                    [dot.x for dot in dots if not dot.is_infected],
                    [dot.y for dot in dots if not dot.is_infected],
                    f"g{shape}",
                )[0]
            
                global infected_dots
                infected_dots = axes.plot(
                    [dot.x for dot in dots if dot.is_infected],
                    [dot.y for dot in dots if dot.is_infected],
                    f"r{shape}",
                )[0]
            
                global cured_dots
                cured_dots = axes.plot(
                    [dot.x for dot in dots if dot.has_been_infected],
                    [dot.y for dot in dots if dot.has_been_infected],
                    f"b{shape}",
                )[0]
                
                global dead_dots
                dead_dots = []
            
                # We need to keep this in an unsed variable, otherwise the function won't work
                a = anim.FuncAnimation(figureDots, lambda z: Dot.move_all(dots), frames=60, interval=5)
                plt.axis('off')
                plt.show()
            
            
            # -------------------- MAIN CALL --------------------
            
            
            if __name__ == "__main__":
                main()
            
            ...

            ANSWER

            Answered 2021-Sep-25 at 11:30

            Correct me if I misunderstood your question but I think you're looking for subfigures: https://matplotlib.org/devdocs/gallery/subplots_axes_and_figures/subfigures.html

            You can create subfigures like so:

            Source https://stackoverflow.com/questions/69324965

            QUESTION

            Share X axis of two pandas series' plots
            Asked 2021-Sep-20 at 19:48

            I have two pandas series. I need to plot them with shared X axis stacked on each other. I tried the code below but instead of stacking them it rather puts the two lines on the same plot. Why is that? How can I stack them?

            ...

            ANSWER

            Answered 2021-Sep-20 at 19:48

            QUESTION

            Object instance type checking from another file
            Asked 2021-Aug-29 at 19:57

            I have modularized my python code into three files. File1.py has a class definition with its methods and attributes defined inside of the class. File2.py serves as a layer between the input that comes to the program and then calls the methods and operates on those inputs, basically acting as an interface. While File3.py I made it for sanity check for inputs. I am decorating the relevant methods of the class with some sanity-check decorators defined in File3.py. One such decorator has python's isinstance(input_received, class_name). Now, since checking is happening in File3, class is defined in File1, the decorator is taking only class method as an input, where input(class) method has (self, input_received), my isinstance(input_received, class_name) statement is throwing an error that "'class_name' is unknown", which means class_name definition is not in File3's scope. I've imported File3 in File1, and File1 in File2. Also, cyclic importing is not an option. It'll be a dumb thing to do. I mean, importing File3 in File1 in addition to all the existing imports.

            Please help!

            File1 (arith.py)

            ...

            ANSWER

            Answered 2021-Aug-28 at 11:05

            decors.py does not import Coords and therefore the line if isinstance(other_obj, (Coords, int, float)) throw the exception.
            Moving the decorator to arith.py should solve the problem.

            Source https://stackoverflow.com/questions/68960860

            QUESTION

            How do I construct a point from x,y, line and angle?
            Asked 2021-Apr-28 at 07:32

            I am making a geometry interface in python (currently using tkinter) but I have stumbled upon a major problem: I need a function that is able to return a point, that is at a certain angle with a certain line segment, is a certain length apart from the vertex of the angle. We know the coordinates of the points of the line segment, and also the angle at which we want the point to be. I have attached an image below for a more graphical view of my question. The problem: I can calculate it using trigonometry, where

            ...

            ANSWER

            Answered 2021-Apr-28 at 07:32

            Seems you want to add line segment angle to get proper result. You can calculate it using segment ends coordinates (x1,y1) and (x2,y2)

            Source https://stackoverflow.com/questions/67283399

            QUESTION

            How to find the direction of triangles in an image using OpenCV
            Asked 2021-Apr-06 at 12:33

            I am trying to find the direction of triangles in an image. below is the image:

            These triangles are pointing upward/downward/leftward/rightward. This is not the actual image. I have already used canny edge detection to find edges then contours and then the dilated image is shown below.

            My logic to find the direction:

            The logic I am thinking to use is that among the three corner coordinates If I can identify the base coordinates of the triangle (having the same abscissa or ordinates values coordinates), I can make a base vector. Then angle between unit vectors and base vectors can be used to identify the direction. But this method can only determine if it is up/down or left/right but cannot differentiate between up and down or right and left. I tried to find the corners using cv2.goodFeaturesToTrack but as I know it's giving only the 3 most effective points in the entire image. So I am wondering if there is other way to find the direction of triangles.

            Here is my code in python to differentiate between the triangle/square and circle:

            ...

            ANSWER

            Answered 2021-Apr-05 at 18:03

            Well, Mark has mentioned a solution that may not be as efficient but perhaps more accurate. I think this one should be equally efficient but perhaps less accurate. But since you already have a code that finds triangles, try adding the following code after you have found triangle contour:

            Source https://stackoverflow.com/questions/66953166

            QUESTION

            Diagram not possible under R
            Asked 2021-Mar-25 at 12:36

            Good morning all ,

            I have a problem with my dataset. Indeed I would like to have the number of the question on the abscissa and the corresponding number of correct answers on the ordinate.

            But under R with GGPLOT2 I cannot get the histogram in this direction.

            I managed to do it with a code under GGPLOT2, but it gives me the question numbers in absicsse a bit in the mess and not in the order of the table.

            Here is my data table

            N ° GOOD BAD 1 62 37 2 95 4 3 36 63 4 82 17 ...

            ANSWER

            Answered 2021-Mar-25 at 12:36

            I think they key is to pivot_longer so that you can map an aesthetic to the type of response ("GOOD", "BAD").

            Source https://stackoverflow.com/questions/66798800

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install abscissa

            To generate a new Abscissa application, install the abscissa CLI utility:.

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            Requires Rust 1.56 or newer.
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