npyio | npyio provides read/write access to numpy data files
kandi X-RAY | npyio Summary
kandi X-RAY | npyio Summary
npyio-ls is a command using github.com/sbinet/npyio (located under github.com/sbinet/npyio/cmd/npyio-ls) to display the content of a (list of) NumPy data file(s).
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Top functions reviewed by kandi - BETA
- Read reads data from the Reader .
- writeData converts rt to w .
- Dump dumps the zip file to io . WriterAt .
- newDtype creates a DType from a string .
- dtypeFrom returns the dtype of rt .
- writeHeader writes a DType to w .
- main entry point
- Open opens a zip file .
- stringLen returns the length of a string .
- sizeof returns the size of the file in r .
npyio Key Features
npyio Examples and Code Snippets
package main
import (
"log"
"os"
"github.com/sbinet/npyio"
)
func main() {
f, err := os.Create("data.npy")
if err != nil {
log.Fatal(err)
}
defer f.Close()
m := []float64{0, 1, 2, 3, 4, 5}
err = npyio.Write(f, m)
if err != nil {
log
Community Discussions
Trending Discussions on npyio
QUESTION
I have several ascii files including daily values for each month. For example I have the following file for month January
...ANSWER
Answered 2021-Jun-03 at 10:54Here's a solution using DataFrames:
QUESTION
I am attempting to create a 3d quiver plot of velocity vectors, using 3 arrays containing the vectors in x, y, z space with respect to time. I.e. a video of the quiver plot. Can someone help with this? I have showed the error message below from running the code as it is.
For example one frame of the output should look a bit like this:
Main code: part 1 and part 2. Also here:
(Note this code was successfully used for the 2D version now being upgraded to 3D)
...ANSWER
Answered 2021-Apr-25 at 13:54I have had to record a 2D quiver plot a while back.
The approach I used, was:
- Create the figure you want using.
- Convert the
fig
to an image (a numpy array) - Use
opencv-python
(cv2
), to write the output.
QUESTION
I tried to get solution for this code , hoping for a positive response
...ANSWER
Answered 2021-Mar-24 at 14:21Try
QUESTION
I am have some strange issue with the numpy package in Python 3.8.6. I am trying to write numpy arrays of float64, but sometimes it writes instead hexadecimal characters to the file: \x00\x00...
Here is the code I am running:
...ANSWER
Answered 2021-Jan-23 at 02:14Actually it turns out this was caused by the iCloud Drive syncing. Once turned off, I no longer had this issue.
QUESTION
I have a 3-dimensional tensor that I create outside of my python code and am able to encode in any human-readable format. I need to load the values of this tensor as a frozen layer to my pytorch
NN. I've tried to encode the tensor as a text file in the form [[[a,b],[c,d]], [[e,f], [g,h]], [[k,l],[m,n]]]
which seemed to be the most logical way for that. Then I tried to read its value via
ANSWER
Answered 2020-Nov-19 at 20:49Did you try using Python's built-in eval
? In case you saved your tensor as a list in text file you may try something as follows:
QUESTION
For the code I am writing, I need to convert a .dat file with a list of numbers and a header into a numpy array. I must then reshape each data array into an 89x125 rectangle. I am having trouble converting the file to each variable that corresponds with the set of values. Any help would be helpful I find using numpy very confusing.
First lines of .dat file:
...ANSWER
Answered 2020-Sep-30 at 00:34Adding delimiter to your call:
QUESTION
I have this script that I attached a GUI to the front of and wanted to distribute it to other DnD DMs for them to use to overlay grids onto images. Only issue is that everytime I try to package the python script using Pyinstaller, it keeps throwing two different errors. If I run pyinstaller --hidden-import matplotlib myscript.py
it returns
ANSWER
Answered 2020-Sep-26 at 15:15You can try to solve this problem by installing older versions of the matplotlib package. eg:
QUESTION
I have 2 npz files I'd like to compare through an assert from numpy testing module:
https://numpy.org/doc/stable/reference/routines.testing.html
From documentation I understood that .npz
files are loaded as instance
:
https://docs.scipy.org/doc/numpy-1.10.1/reference/generated/numpy.load.html https://www.kite.com/python/docs/numpy.lib.npyio.NpzFile
From my understanding I thought .npz
files were dict but they are loaded as instance
and I end up with this error :
ANSWER
Answered 2020-Sep-16 at 17:47While assert_equal
is able to handle numpy
objects inside simple Python containers like dict
and list
, it's not flexible enough to handle more generic containers. And the object returned by load
is not actually a dictionary or a subclass of a dictionary. It's just a "dictionary-like object," so assert_equal
doesn't know what to do with it.
Fortunately this is quite easy to handle. We can explicitly convert the objects to dictionaries:
QUESTION
I'm pretty new to coding so thanks for any help, and sorry if this is obvious.
...ANSWER
Answered 2020-Aug-16 at 08:56
Got instead.
This error message clearly states the problem... os.path.isfile(full_path)
returns False
so get_yolo_file
returns None
.
So txt_fname == None
. And as the error says, the file path for np.genfromtxt
can't be None
.
So instead of 'printing' an error (print('ERROR')
) you should do something like this:
QUESTION
I have the following piece of code:
...ANSWER
Answered 2020-Aug-14 at 23:08I checked what @gojomo referred to in the comments and he was correct, my file sizes were wrong. Something must have happened during upload. For large models, word2vec saves the model in 3 files. Assuming your model name is "model2" you will have:
- model2
- model2.trainables.syn1neg.npy
- model2.wv.vectors.npy
My .wv.vectors.npy
was a few kilo bytes too small than the version in my other machine.
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