freeCodeCamp/curriculum/challenges/arabic/08-data-analysis-with-python/data-analysis-with-python-projects/mean-variance-standard-deviation-calculator.md

id, title, challengeType, forumTopicId, dashedName

id	title	challengeType	forumTopicId	dashedName
5e46f7e5ac417301a38fb928	Mean-Variance-Standard Deviation Calculator	10	462366	mean-variance-standard-deviation-calculator

--description--

You will be working on this project with our Replit starter code.

• ابدأ باستيراد (import) المشروع على Replit.
• بعد ذلك، سترى نافذة .replit.
• اختار Use run command وانقر على زر Done.

وما زلنا نطور الجزء التعليمي التفاعلي من منهج Python. الآن، إليك بعض مقاطع الفيديو على قناة اليوتيوب الخاصة بي freeCodeCamp.org التي ستعلمك كلّما تحتاج إليه لإكمال هذا المشروع:

• Python for Everybody Video Course (14 hours)

• How to Analyze Data with Python Pandas (10 hours)

--instructions--

Create a function named calculate() in mean_var_std.py that uses Numpy to output the mean, variance, standard deviation, max, min, and sum of the rows, columns, and elements in a 3 x 3 matrix.

The input of the function should be a list containing 9 digits. The function should convert the list into a 3 x 3 Numpy array, and then return a dictionary containing the mean, variance, standard deviation, max, min, and sum along both axes and for the flattened matrix.

The returned dictionary should follow this format:

{
  'mean': [axis1, axis2, flattened],
  'variance': [axis1, axis2, flattened],
  'standard deviation': [axis1, axis2, flattened],
  'max': [axis1, axis2, flattened],
  'min': [axis1, axis2, flattened],
  'sum': [axis1, axis2, flattened]
}

If a list containing less than 9 elements is passed into the function, it should raise a ValueError exception with the message: "List must contain nine numbers." The values in the returned dictionary should be lists and not Numpy arrays.

For example, calculate([0,1,2,3,4,5,6,7,8]) should return:

{
  'mean': [[3.0, 4.0, 5.0], [1.0, 4.0, 7.0], 4.0],
  'variance': [[6.0, 6.0, 6.0], [0.6666666666666666, 0.6666666666666666, 0.6666666666666666], 6.666666666666667],
  'standard deviation': [[2.449489742783178, 2.449489742783178, 2.449489742783178], [0.816496580927726, 0.816496580927726, 0.816496580927726], 2.581988897471611],
  'max': [[6, 7, 8], [2, 5, 8], 8],
  'min': [[0, 1, 2], [0, 3, 6], 0],
  'sum': [[9, 12, 15], [3, 12, 21], 36]
}

The unit tests for this project are in test_module.py.

التطوير

For development, you can use main.py to test your calculate() function. انقر فوق زر "run" (التشغيل) و main.py سيتم تشغيله.

الاختبار

We imported the tests from test_module.py to main.py for your convenience. سيتم تشغيل الاختبارات تلقائياً عندما تضغط على زر "run".

التقديم

Copy your project's URL and submit it to freeCodeCamp.

--hints--

It should pass all Python tests.

--solutions--

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