python - uploading a plot from memory to s3 using matplotlib and boto

Question

This is my working script that generates a plot, saves it locally to disk, uploads to S3 and deletes the file:

plt.figure(figsize=(6,6))
plt.plot(x, y, 'bo')
plt.savefig('file_location')

conn = boto.s3.connect_to_region(
    region_name=AWS_REGION,
    aws_access_key_id=AWS_ACCESS_KEY_ID,
    aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
    calling_format=boto.s3.connection.OrdinaryCallingFormat()
    )
bucket = conn.get_bucket('bucket_name')
k = Key(bucket)
k.key = 'file_name'
k.set_contents_from_filename('file_location')

os.remove(file_location)

What I want is to skip the disk writing and upload the plot directly from memory.

Any suggestions how to achieve that?

Answer 1

Putting it all together:

img_data = io.BytesIO()
plt.savefig(img_data, format='png')
img_data.seek(0)

s3 = boto3.resource('s3')
bucket = s3.Bucket(BUCKET_NAME)
bucket.put_object(Body=img_data, ContentType='image/png', Key=KEY)

Thanks @padraic-cunningham and @guyb7 for the tips!