Closed ajmeese7 closed 2 years ago
I am not familiar with S3 bucket
but I think it will provide some api to upload files.
You could save file to disk or BytesIO
and then upload it by python code.
@PaleNeutron do you have an example of how to convert the image generated by this library to BytesIO
without saving it to the disk? That would be greatly appreciated!
import pandas as pd
import numpy as np
import dataframe_image as dfi
from io import BytesIO
df = pd.DataFrame(np.random.rand(5,8))
df
0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
---|---|---|---|---|---|---|---|---|
0 | 0.018129 | 0.511246 | 0.210085 | 0.174160 | 0.562191 | 0.533760 | 0.836536 | 0.058780 |
1 | 0.452144 | 0.718135 | 0.350870 | 0.881881 | 0.708918 | 0.990391 | 0.864563 | 0.440264 |
2 | 0.154236 | 0.069712 | 0.580959 | 0.170795 | 0.621348 | 0.202536 | 0.964883 | 0.566463 |
3 | 0.373485 | 0.480376 | 0.956419 | 0.230610 | 0.386035 | 0.750750 | 0.437797 | 0.030412 |
4 | 0.001774 | 0.984068 | 0.421984 | 0.026590 | 0.665637 | 0.395694 | 0.141108 | 0.537476 |
png_io = BytesIO()
df.dfi.export(png_io)
data = png_io.getbuffer()
len(data)
33341
type(data)
memoryview
You can get bytes from data, and send it to any where you want
You're the best, thanks for your help!
Hey there, quick question that I am trying to help someone with. They are looking to save their
dif
-generated image directly to an S3 bucket on AWS without saving the image locally. Do you know of any ways to specify this currently with the library?