I created a main bytesIO object that will concatenate additional bytesIO object.
csv_file = BytesIO
for _ in range(iterations):
sliced_queryset = queryset[start_index:end_index]
serialized = serializer(sliced_queryset,…
I have a bytea object in a database which is a zip file, I can retrieve it and read it as a zip file, but I also want to save it to disk.
I can't work out how to write zf_model to disk. I've also tried zf.write(io.BytesIO(model.model_file)), i.e.…
I'm trying to load an io bytes stream into a numpy array. np.frombuffer() returns an array with too many elements and np.load() throws the error "UnicodeDecodeError: 'utf-8' codec can't decode byte 0x93 in position 0: invalid start byte"
Can anyone…
Im getting (with an python API) a .csv file from an email attachment that i received in gmail, transforming it into a dataframe to make some dataprep, and saving as .csv on my pc. It is working great, the problem is that i get '\n' on some…
I have an image file on a server that is protected by Windows Authentication which I have to access.
I used the requests_ntlm module of python to access the file with Windows Auth, which I was able to. However, on sending this data back as an image,…
I just want to open the image files in a folder, and convert them to jpeg if they are not already jpeg. Only thing is I need to save the file in memory, not to file. The reason is, in fact I'm reading the images from tfrecod file (tensorflow data…
I am generating an excel file and returning it for download in a flask app. If I use 'in_memory': True then the file is corrupt and excel can't open it. The same code if written directly to disk works. For the in-memory code I'm following this…
I'm trying to display the logos from a dataset.
The dataset looks like this:
Player Club Logo
tom https://abc.png
jerry https://def.png
peter https://frf.png
woody https://awt.png
However, it didnt return me…
I'm trying to save (using savez_compressed) a bunch of numpy arrays into a BytesIO object and then load them back to a variable. So far, I can save the array's using following code
# Arrays
a = numpy.random.uniform(size=(10,10)) # dtype is float64
b…
The solutions I have found said to:
from PIL import Image
import io
img = "1.jpg"
image = Image.open(img)
# ... other processing...
buf = io.BytesIO()
image.save(buf, format="JPEG")
buf.get_value()
But I get the error:
Traceback (most recent…
What I am trying to do is quite simple when dealing with a local file, but the problem comes when I try to do it with a remote URL.
Basically, I am trying to create a PIL image object from a file extracted from a URL. Of course, I could always fetch…
I need to process an xml file and send it back, storing all in-memory. I tried to use BytesIO as a file-like object.
Initially, I tried this:
with BytesIO() as file:
data.write(file, encoding='windows-1251')
return…
Python PIL rejects to read an image you have resized with Javascript canvas
I resize an image on the client-side with Javascript:
var reader = new FileReader();
reader.onload = function (e) {
el('image-picked').src = e.target.result;
…
I'm writing an app using Python and Kivy. I have a function that draws an image and exports it as a png. I'm trying to use that image and save it in a sql db as a BLOB.
The route I'm trying to take is to convert the png in to a stream using BytesIO…
Is there a way that I can use mx.recordio.MXRecordIO to read from a bytes object rather than a file object?
For example I'm currently doing:
import mxnet as mx
results_file = 'results.rec'
with open(results_file, 'wb') as f:
…