Change: to: This: gives you list with one element. But this: computes the divisions before the multiplication with alpha. You can multiply a list by an integer: but not by a float: since you cannot have partial elements in a list. Parenthesis can be used for grouping in the mathematical calculations:
(It is possible that my interpretation of the question is wrong. If the question is how to get from a discrete PDF into a discrete CDF, then np.cumsum divided by a suitable constant will do if the samples are equispaced. If the array is not equispaced, then np.cumsum of the array multiplied by the distances between the points will … Read more
They are the same number. What differs is their representation; the Python native type uses a “sane” representation, and the NumPy type uses an accurate representation.
I got the same error and ended up using a pre-built distribution of numpy available in SourceForge (similarly, a distribution of matplotlib can be obtained). Builds for both 32-bit 2.7 and 3.3/3.4 are available.PyCharm detected them straight away, of course.
An important point that often bites new Python programmers but the other posters haven’t made explicit is that strings in Python are immutable — you can’t ever modify them in place. You need to retrain yourself when working with strings in Python so that instead of thinking, “How can I modify this string?” instead you’re thinking “how … Read more
matplotlib.pyplot is a module; the function to plot is matplotlib.pyplot.plot. Thus, you should do A good place to learn more about this would be to read a matplotlib tutorial.
I am asking on how the algorithm works to produce the numbers. – WhiteSolstice 35 mins ago Non-technical explanation If you pass n=1 to the Binomial distribution it is equivalent to the Bernoulli distribution. In this case the function could be thought of simulating coin flips. size=3 tells it to flip the coin three times and p=0.5 makes it a fair … Read more
They’re both correct, but yours is preferred from the point of view of numerical stability. You start with By using the fact that a^(b – c) = (a^b)/(a^c) we have Which is what the other answer says. You could replace max(x) with any variable and it would cancel out.
json does not recognize NumPy data types. Convert the number to a Python int before serializing the object:
You can think of reshaping that the new shape is filled row by row (last dimension varies fastest) from the flattened original list/array. An easy solution is to shape the list into a (100, 28) array and then transpose it: Update regarding the updated example: