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exercise-07 release

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exercises/release/exercise-07/1__classes.ipynb Normal file
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"source": [
"# Classes in Python\n",
"\n",
"First, let's consider some data in a plain Python dictionary:"
]
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"car1 = {\n",
" 'name': 'Fer',\n",
" 'worth': 60000,\n",
" 'type_': 'convertible',\n",
" 'color': 'red'\n",
"}\n",
"car2 = {\n",
" 'name': 'Jump',\n",
" 'worth': 10000,\n",
" 'type_': 'van',\n",
" 'color': 'blue'\n",
"}"
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"car1['name']"
]
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"source": [
"Now, let's make a Python class which will hold this same kind of data:"
]
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"class Car:\n",
" def __init__(self,name,worth,type_,color):\n",
" self.name = name\n",
" self.worth = worth\n",
" self.type_ = type_\n",
" self.color = color\n",
" def print_car(self):\n",
" print(\"%s is worth %d and is a %s %s.\"%(self.name, self.worth, self.color, self.type_))"
]
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"car1 = Car(\"Fer\",60000,\"convertible\",\"red\")"
]
},
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"source": [
"## Takeaway message\n",
"\n",
"- The data in an instances of a class are conceptually very similar to python dicts with a few special features. One of these special features is methods. Another is that you access instance variables with with the `x_instance.name` syntax instead of `x_dict['name']` syntax."
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"## Q1 creating an instance of a class\n",
"\n",
"We have a class defined for vehicles. Create two new vehicles (\"instances of the class\") with the variable names `car1` and `car2`. Set car1 to be a red convertible worth EUR 60,000.00 with a name of Fer, and car2 to be a blue van named Jump worth EUR 10,000.00."
]
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"class Vehicle:\n",
" def __init__(self, color, worth, name): \n",
" self.color = color\n",
" self.worth = worth\n",
" self.name = name\n",
" def get_description(self):\n",
" return 'name: {}, worth: {}, color: {}'.format(self.name, self.worth, self.color)"
]
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"# YOUR CODE HERE\n",
"raise NotImplementedError()"
]
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"source": [
"# This checks if your code works. Do not change it. It should run without error.\n",
"assert( car1.get_description()==\"name: Fer, worth: 60000, color: red\" )\n",
"assert( car2.get_description()==\"name: Jump, worth: 10000, color: blue\" )"
]
},
{
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"source": [
"## Q2 creating a class\n",
"\n",
"Create a class called `Pet`. The `__init__` function should take 3 arguments: `self`, `name`, and `sound`. The `name`, and `sound` arguments should be assigned to the instance variables `self.name` and `self.sound`."
]
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"# YOUR CODE HERE\n",
"raise NotImplementedError()"
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"# This checks if your code works. Do not change it. It should run without error.\n",
"my_pet = Pet('Bob', 'talk')\n",
"assert(my_pet.name=='Bob')\n",
"assert(my_pet.sound=='talk')"
]
},
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"source": [
"## Q3 writing a method\n",
"\n",
"Now, create a new class called `NoisyPet`. The `__init__` function should be like in `Pet`. (It takes 3 arguments: `self`, `name`, and `sound`. The `name`, and `sound` arguments should be assigned to the instance variables `self.name` and `self.sound`.)\n",
"\n",
"`NoisyPet` should have an additional method called `make_noise` which takes zero additional arguments (of course `self` is required). The `make_noise` for a name of `\"cricket\"` and sound of `\"chirp\"`, this method should return a string like `\"My pet cricket makes a noise like chirp\"`. Thus, you will need to return a string you have created using string formatting."
]
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"# YOUR CODE HERE\n",
"raise NotImplementedError()"
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"# This checks if your code works. Do not change it. It should run without error.\n",
"assert(NoisyPet(\"cricket\", \"chirp\").make_noise()==\"My pet cricket makes a noise like chirp\")"
]
},
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"source": [
"## Q4 using instances 1\n",
"\n",
"Now create a list named `my_pets` with 5 instances of the NoisyPet class given the following names and noises.\n",
"\n",
"| name | noise |\n",
"| --- | --- |\n",
"| Fido | slobber |\n",
"| Mr. Skinny Legs | (silent) |\n",
"| cricket | chirp |\n",
"| Adelheid | cackle |\n",
"| Bello | bark |"
]
},
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"# YOUR CODE HERE\n",
"raise NotImplementedError()"
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"# This checks if your code works. Do not change it. It should run without error.\n",
"assert(type(my_pets)==list)\n",
"assert(len(my_pets)==5)\n",
"for my_pet in my_pets:\n",
" assert(isinstance(my_pet,NoisyPet))\n",
" my_pet.make_noise()"
]
},
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"source": [
"## Q5 using instances 2\n",
"\n",
"Now create a function list named `get_pet_name_length` which takes a single argument, which is an instance of the NoisyPet class. It should return the number of letters in the pet's name."
]
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"raise NotImplementedError()"
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"# This checks if your code works. Do not change it. It should run without error.\n",
"assert(get_pet_name_length(NoisyPet(\"Bello\", \"bark\"))==5)\n",
"assert(get_pet_name_length(NoisyPet(\"cricket\", \"chirp\"))==7)"
]
}
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"# Create a standalone Python program\n",
"\n",
"The instructions for this exercise are in this Jupyter notebook, but to successfully complete the exercise, you need to write a plain Python `.py` file called `plot_pcr_data.py` that runs from the command line. Write your program so that when you run it like this:\n",
"\n",
" python plot_pcr_data.py pcr_sample_1.csv\n",
"\n",
"It will read load the CSV file named `pcr_sample_1.csv` and save a plot called `pcr_sample_1.csv.png`. This data file is the result of a [real-time PCR](https://en.wikipedia.org/wiki/Real-time_polymerase_chain_reaction) experiment in a 6 well plate. The plot should plot number of cycles on the X axis and fluorescence intensity on the Y axis. There should be a line for the data from each well in the experiment.\n",
"\n",
"Hints:\n",
"\n",
"- Remember that you can get the command-line arguments to a python program by importing the `sys` module and accessing the `sys.argv` variable, which is a list of strings. So the filename with the data is provided as a command-line argument to your python program.\n",
"- Read the CSV data from the provided filename using Pandas `read_csv()` function.\n",
"- Plot the results with seaborn's `lineplot()` function.\n",
"- Save this figure (with matplotlib.pylot's `savefig()`) to a file with the name equal to the original file name with `.png` appended to it (e.g. for the above example with `pcr_sample_1.csv` as input, save the figure to `pcr_sample_1.csv.png`).\n",
"\n",
"When you are done with your program `plot_pcr_data.py`, upload it to the directory for this exercise. I will run it with a new CSV data file from a different PCR experiments to check that it works.\n",
"\n",
"With `pcr_sample_1.csv`, your plot should look like this:\n",
"\n",
"![pcr_results.png](pcr_results.png)"
]
}
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