normalize

I tried to use os.normpath in order to convert http://example.com/a/b/c/../ to http://example.com/a/b/ but it doesn't work on Windows because it does convert the slash to backslash. sorin Here is how to do it >>> import urlparse >>> urlparse.urljoin("ftp://domain.com/a/b/c/d/", "../..") 'ftp://domain.com/a/b/' >>> urlparse.urljoin("ftp://domain.com/a/b/c/d/e.txt", "../..") 'ftp://domain.com/a/b/' Remember that urljoin consider a path/directory all until the last / - after this is the filename, if any. Also, do not add a leading / to the second parameter, otherwise you will not get the expected

Possible Duplicate: MATLAB: how to normalize/denormalize a vector to range [-1;1] Hi, just started using Matlab and I would like to know how to rescale the data in a matrix. I have a matrix of N rows by M columns and want to rescale the data in the columns to be between -1 and 1. Each column contains values that vary in scale from say 0 - 10,000 to some that are between 0 and 1, the reason I want to normalise to between -1 and 1 as these values will be used in a Neural Network as input values for a transform function that is sine based. Neither of the previous answers are correct. This is what

I want to make a histogram of every column of a matrix, but I want the bins to be logarithmic and also normalized. And after I create the histogram I want to make a fit on it without showing the bars. This is what I have tried: y=histogram(x,'Normalized','probability'); This gives me the histogram normalized, but I don't know how to make the bins logarithmic. There are two different ways of creating a logarithmic histogram: Compute the histogram of the logarithm of the data. This is probably the nicest approach, as you let the software decide on how many bins to create, etc. The x-axis now

I have an array filled with positive int values, how could I normalize this list so the max value is always 100? Thank you in advance! The idea is to first find the highest number in your array (using apply on Math.max ), then find the ratio between that highest number and 100. After that, it's just a matter of looping through your array and dividing all your numbers by that ratio: var numbers = [3, 8, 45, 74, 123], ratio = Math.max.apply(Math, numbers) / 100, l = numbers.length, i; for (i = 0; i < l; i++) { numbers[i] = Math.round(numbers[i] / ratio); } Here's the fiddle: http://jsfiddle.net

I just discovered the json_normalize function which works great in taking a JSON object and giving me a pandas Dataframe. Now I want the reverse operation which takes that same Dataframe and gives me a json (or json-like dictionary which I can easily turn to json) with the same structure as the original json. Here's an example: https://hackersandslackers.com/json-into-pandas-dataframes/ . They take a JSON object (or JSON-like python dictionary) and turn it into a dataframe, but I now want to take that dataframe and turn it back into a JSON-like dictionary (to later dump to json file). I