Keras misinterprets training data shape
My training data has the form (?,15) where ? is a variable length.
Python
How do I set the desktop background in python? (windows)
This is what I’m trying:
Convert string to list. Python [string.split() acting weird]
Safely evaluate an expression node or a Unicode or Latin-1 encoded
string containing a Python expression. The string or node provided may
only consist of the following Python literal structures: strings,
numbers, tuples, lists, dicts, booleans, and None.
Recursively iterate through all subdirectories using pathlib
How can I use pathlib to recursively iterate over all subdirectories of a given directory?
Removing duplicate columns and rows from a NumPy 2D array
I’m using a 2D shape array to store pairs of longitudes+latitudes. At one point, I have to merge two of these 2D arrays, and then remove any duplicated entry. I’ve been searching for a function similar to numpy.unique, but I’ve had no luck. Any implementation I’ve been
thinking on looks very “unoptimizied”. For example, I’m trying with converting the array to a list of tuples, removing duplicates with set, and then converting to an array again:
“In” operator for numpy arrays?
How can I do the “in” operation on a numpy array?
(Return True if an element is present in the given numpy array)
Pytube givng an “HTTP Error 404: Not Found” error. Anyone knows how to fix this?
I’m having a problem trying to use the pytube package to download a video from YouTube.
How to get/set local variables of a function (from outside) in Python?
If I have a function (in Python 2.5.2) like: def sample_func(): a = 78 b = range(5) #c = a + b[2] – x My questions are: How to get the local variables (a,b) of the function from outside without using locals() inside the function? (kind of reflection) Is it possible to set a local … Read more
Insert row into Excel spreadsheet using openpyxl in Python
I’m looking for the best approach for inserting a row into a spreadsheet using openpyxl.
pandas style background gradient both rows and columns
The pandas style option to add a background gradient is great for quickly inspecting my output table. However, it is applied either row-wise or columns-wise. Would it be possible to apply it to the whole dataframe at once?