Finding indices of matches of one array in another array
I have two numpy arrays, A and B. A conatains unique values and B is a sub-array of A.
Now I am looking for a way to get the index of B’s values within A.
python
Including non-Python files with setup.py
How do I make setup.py include a file that isn’t part of the code? (Specifically, it’s a license file, but it could be any other thing.)
Rendering text with multiple lines in pygame
I am trying to make a game and I am trying to render a lot of text. When the text renders, the rest of the text goes off the screen. Is there any easy way to make the text go to the next line of the pygame window?
MaxRetryError: HTTPConnectionPool: Max retries exceeded (Caused by ProtocolError(‘Connection aborted.’, error(111, ‘Connection refused’)))
I have one question:I want to test “select” and “input”.can I write it like the code below:
original code:
How to take column-slices of dataframe in pandas
I load some machine learning data from a CSV file. The first 2 columns are observations and the remaining columns are features.
python operator precedence of in and comparison
The following comparisons produce True:
How to export Keras .h5 to tensorflow .pb?
I have fine-tuned inception model with a new dataset and saved it as “.h5” model in Keras. now my goal is to run my model on android Tensorflow which accepts “.pb” extension only. question is that is there any library in Keras or tensorflow to do this conversion? I have seen this post so far : https://blog.keras.io/keras-as-a-simplified-interface-to-tensorflow-tutorial.html but can’t figure out yet.
Get intersecting rows across two 2D numpy arrays
I want to get the intersecting (common) rows across two 2D numpy arrays. E.g., if the following arrays are passed as inputs:
What’s a correct and good way to implement __hash__()?
What’s a correct and good way to implement __hash__()?
UnicodeDecodeError: ‘ascii’ codec can’t decode byte 0xef in position 1
I’m having a few issues trying to encode a string to UTF-8. I’ve tried numerous things, including using string.encode('utf-8') and unicode(string), but I get the error: