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1. • • plot is a versatile function, and will take an arbitrary number of arguments. For example, to plot x versus y, you can write: plt.plot([1, 2, 3, 4], [1, 4, 9, 16])
     matplotlib.org › stable › tutorials

     Pyplot tutorial — Matplotlib 3.9.2 documentation

2. Top results related to what is a non-trivial graph example of function in python

   • What is a maximum number of arguments in a Python function?

     Top Answer

     Answered Jan 25, 2020 · 36 votes

     In Python 3.7 and newer, there is no limit. This is the result of work done in issue #27213 and issue #12844; #27213 reworked the CALL_FUNCTION* family of opcodes for performance and simplicity (part of 3.6), freeing up the opcode argument to only encode a single argument count, and #12844 removed the compile-time check that prevented code with more arguments from being compiled.

     So as of 3.7, with the EXTENDED_ARG()

     opcode, there is now no limit at all on how many arguments you can pass in using explicit arguments, save how many can be fitted onto the stack (so bound now by your memory):

     >>> import sys>>> sys.version_infosys.version_info(major=3, minor=7, micro=0, releaselevel='alpha', serial=2)>>> def f(*args, **kwargs): pass...>>> exec("f({})".format(', '.join(map(str, range(256)))))>>> exec("f({})".format(', '.join(map(str, range(2 ** 16)))))

     Do note that lists, tuples and dictionaries are limited to sys.maxsize

     elements, so if the called function uses *args and/or **kwargs catch-all parameters then those are limited.

     For the *args and **kwargs call syntax (expanding arguments) there are no limits other than the same sys.maxint size limits on Python standard types.

     In versions before Python 3.7, CPython has a limit of 255 explicitly passed arguments in a call:

     >>> def f(*args, **kwargs): pass...>>> exec("f({})".format(', '.join(map(str, range(256)))))Traceback (most recent call last): File "<stdin>", line 1, in <module> File "<string>", line 1SyntaxError: more than 255 arguments

     This limitation is in place because until Python 3.5, the CALL_FUNCTION

     opcode overloaded the opcode argument to encode both the number of positional and keyword arguments on the stack, each encoded in a single byte.

     Check all answers on Stack Overflow

     1/5

   • What is in the meaning of `return "DONE"` at the end of a function in Python?

     Top Answer

     Answered May 29, 2019 · 2 votes

     If you were to run the function in a variable assignment you would literally get "DONE". I'm assuming you mean "DONE" instead of "HOME" since there is no return "HOME" in your example.

     For instance:

     x = per(7)print(x)

     Would print the usual output and also print DONE when you called print(x). Because 7 is a single digit the condition if len(str(n)) == 1 is met on the first run..

     TOTAL STEPS 0DONE

     This function calls itself though, which makes it a confusing choice to learn about this stuff since that's fairly unusual. If we run the script with a number with more than one digit, we'll get None instead.. because it never runs the return statement, it's return value is the python default, which is a NoneType:

     x = per(27)print(x)

     Result:

     144TOTAL STEPS 2None

     Because 27 doesn't meet the condition of having a single digit.. the script calls itself with the results it's printing out.. until it finally uses 4.. which meets the condition and prints out the TOTAL STEPS line.

     To see this value we have to modify the function:

     def per(n, steps = 0): if len(str(n)) == 1: print("TOTAL STEPS " + str(steps)) return "DONE" steps += 1 digits = [int(i) for i in str(n)] result = 1 for j in digits: result *= j print(result) x = per(result, steps) print("Inner return", x)x = per(27)print("Outer return", x)

     Result:

     144TOTAL STEPS 2Inner return DONEInner return NoneOuter return None

     Thankfully you don't have to worry too much about return values.. since you aren't capturing the return value in a variable in your example.. just using return by itself would have the same result. Which is to stop running the function at that point, and to move on to the line after per(27) if there was one.. it can be a useful way to see what's happening in this function though.

     Using variable assignment with = is not the only way to use a return value.. just the easiest way to demonstrate what's happening. for instance just running print(per(27)) would have the same result as my example.

     Check all answers on Stack Overflow

     2/5

   • What is a basic example of single inheritance using the super() keyword in Python?

     Top Answer

     Answered Apr 20, 2015 · 26 votes

     In Python >=3.0, like this:

     class Foo(): def __init__(self, frob, frotz) self.frobnicate = frob self.frotz = frotz-class Bar(Foo): def __init__(self, frob, frizzle) super().__init__(frob, 34) self.frazzle = frizzle

     Read more here: http://docs.python.org/3.1/library/functions.html#super

     EDIT: As said in another answer, sometimes just using Foo.__init__(self, frob, 34) can be the better solution. (For instance, when working with certain forms of multiple inheritance.)

     Check all answers on Stack Overflow

     3/5

   • what is benefit of using a clean function in Python Class

     Top Answer

     Answered Sep 28, 2018 · 6 votes

     No, the .clean() method is specific to Django.

     It is not a general Python convention.

     It is only used on Model classes, to provide custom model validation or on Form and various Field classes for forms for the same sort of tasks. The Django framework calls these methods when handling form input.

     See Form and field validation for more information on when .clean() is called.

     See the Model.clean()

     method documentation to see how this applies to model validation.

     Check all answers on Stack Overflow

     4/5

   • What is the benefit of using assigning a default value to a parameter in a function in python

     Top Answer

     Answered Sep 10, 2018 · 0 votes

     It's because when doing:

     def calc_tax(sales_total,tax_rate=0.04): print(sales_total * tax_rate)-

     You can do:

     calc_tax(100)

     Then here tax_rate is an argument that's assigned to a default value so can change it by:

     calc_tax(any thing here,any thing here)

     OR:

     calc_tax(any thing here,tax_rate=any thing here)

     So in the other-hand, this code:

     def calc_tax(sales_total): print(sales_total*0.04)

     Is is only able to do:

     calc_tax(any thing here)

     Because there is no second argument

     Check all answers on Stack Overflow

     5/5

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3. www.geeksforgeeks.org · graph-types-and-applicationsTypes of Graphs with Examples - GeeksforGeeks

   www.geeksforgeeks.org · graph-types-and-applications

   

   • Finite Graphs. A graph is said to be finite if it has a finite number of vertices and a finite number of edges. A finite graph is a graph with a finite number of vertices and edges.
   • Infinite Graph: A graph is said to be infinite if it has an infinite number of vertices as well as an infinite number of edges.
   • Trivial Graph: A graph is said to be trivial if a finite graph contains only one vertex and no edge. A trivial graph is a graph with only one vertex and no edges.
   • Simple Graph: A simple graph is a graph that does not contain more than one edge between the pair of vertices. A simple railway track connecting different cities is an example of a simple graph.

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   What is a trivial graph?

   • 3. Trivial Graph: A graph is said to be trivial if a finite graph contains only one vertex and no edge. A trivial graph is a graph with only one vertex and no edges. It is also known as a singleton graph or a single vertex graph. A trivial graph is the simplest type of graph and is often used as a starting point for building more complex graphs.

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   How to plot a function in Python using matplotlib?

   • In order to plot a function in Python using Matplotlib, we need to define a range of x and y values that correspond to that function. In order to do this, we need to: Let’s see how we can accomplish this. First, we’ll need to import our libraries: import numpy as np

   How to Plot a Function in Python with Matplotlib • datagy

   datagy.io/python-matplotlib-plot-function/

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   What is a graph in programming terms?

   • A Graph in programming terms is an Abstract Data Type that acts as a non-linear collection of data elements that contains information about the elements and their connections with each other. This can be represented by G where G = (V, E) and V represents a set of vertices and E is a set of edges connecting those vertices.

   A Complete Guide to Graphs in Python - Towards Data Science

   towardsdatascience.com/a-complete-guide-to-graphs-in-python-845a0a3381a1

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5. www.geeksforgeeks.org · graphing-a-function-inGraphing a Function in Python Using Plotnine Library

   www.geeksforgeeks.org · graphing-a-function-in

   

   3 days ago · To plot the function, we first need to generate a set of values for the independent variable x and compute the corresponding y values using the function. Python. import pandas as pd import numpy as np # Generate x values x = np.linspace(-10, 10, 100) # Define the linear function y = 2 * x + 1 # Create a DataFrame df = pd.DataFrame({'x': x, 'y ...

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7. datagy.io · python-matplotlib-plot-functionHow to Plot a Function in Python with Matplotlib • datagy

   datagy.io · python-matplotlib-plot-function

   

   • How to Plot A Function in Python Using Matplotlib
   • How to Plot A Function Using Seaborn
   • Conclusion

   In order to plot a function in Python using Matplotlib, we need to define a range of x and y values that correspond to that function. In order to do this, we need to: 1. Define our function, and 2. Create a range of continuous x-values and map their corresponding y-values Let’s see how we can accomplish this. First, we’ll need to import our librari...

   See full list on datagy.io

   In this section, you’ll learn how to use Seaborn to plot two functions. Since this process is very similar to using just Matplotlib, I won’t cover every detail, but rather explain what is different from our Matplotlib implementation. Take a look at the code block below: Let’s break down what we did in the code block above: 1. We imported Seaborn an...

   See full list on datagy.io

   In conclusion, plotting a function using Python’s Matplotlib and Seaborn libraries can be a powerful way to visualize data and gain insights into relationships between variables. By using NumPy’s linspace function, we can easily create x and y values to represent the function. With Matplotlib, we can plot the function, add a title and legend, and c...

   See full list on datagy.io

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9. matplotlib.org · stable · tutorialsPyplot tutorial — Matplotlib 3.9.2 documentation

   matplotlib.org · stable · tutorials

   

   matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.

   • alpha: float
   • contains: the hit testing function

   • clip_box: a matplotlib.transform.Bbox instance

   • 
   • 
   • 
   • 

10. realpython.com · python-matplotlib-guidePython Plotting With Matplotlib (Guide) – Real Python

    realpython.com · python-matplotlib-guide

    

    Using one-liners to generate basic plots in matplotlib is fairly simple, but skillfully commanding the remaining 98% of the library can be daunting. This article is a beginner-to-intermediate-level walkthrough on matplotlib that mixes theory with examples.

11. towardsdatascience.com · a-complete-guide-toA Complete Guide to Graphs in Python | by Philip Wilkinson ...

    towardsdatascience.com · a-complete-guide-to

    

    May 17, 2022 · A Graph in programming terms is an Abstract Data Type that acts as a non-linear collection of data elements that contains information about the elements and their connections with each other. This can be represented by G where G = (V, E) and V represents a set of vertices and E is a set of edges connecting those vertices.

12. www.golinuxcloud.com · python-matplotlibPython Matplotlib: Ultimate Guide to Beautiful Plots!

    www.golinuxcloud.com · python-matplotlib

    

    May 8, 2024 · The DataFrame.plot() function provides a convenient way to plot data directly from a DataFrame. You can specify the kind of plot you want (line, bar, scatter, etc.) as well as many other customization options. Example: Line Plot. Let's say you have a DataFrame with stock prices: