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npyfile: Write arrays continuously to .npy files

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npyfile is a a package that allows you to continuously write arrays to a .npy file. You can use it like a standard Python file with the well-known context manager.

Warning: Due to the internal structure of .npy files, the arrays must have the same shape & dtype.

Example

Generate some artificial dummy data, e.g. images, & write them into a temporary file. A real world scenario reflecting this is the continuous arrival of new images from a camera.

importpathlibimporttempfiletmp_dir=tempfile.TemporaryDirectory()
outfile=pathlib.Path(tmp_dir.name) /'images.npy'images=np.random.randint(low=0, high=255, size=(10,640,480,3))
withNpyFile(outfile) asfile:
forimginimages:
file.write(img)
np.testing.assert_array_equal(images, np.load(outfile))
tmp_dir.cleanup()

Credits

  • attrs: Project & infrastructure setup
  • numpy: File format

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npyfile: Write arrays continuously to .npy files

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GitHub - maxstrobel/npyfile: npyfile: Write arrays continuously to .npy files · GitHub
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npyfile: Write arrays continuously to .npy files
Documentation StatusCI Status
npyfile is a a package that allows you to continuously write arrays to a .npy file. You can use it like a
standard Python file with the well-known context manager.
Warning: Due to the internal structure of .npy files, the arrays must have the same shape & dtype.
Example
Generate some artificial dummy data, e.g. images, & write them into a temporary file. A real world scenario reflecting
this is the continuous arrival of new images from a camera.
importpathlibimporttempfiletmp_dir=tempfile.TemporaryDirectory()
outfile=pathlib.Path(tmp_dir.name) /'images.npy'images=np.random.randint(low=0, high=255, size=(10,640,480,3))
withNpyFile(outfile) asfile:
forimginimages:
file.write(img)
np.testing.assert_array_equal(images, np.load(outfile))
tmp_dir.cleanup()
Credits
  • attrs: Project & infrastructure setup
  • numpy: File format
About
npyfile: Write arrays continuously to .npy files
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datanumpypythonpython3
Resources
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GitHub - maxstrobel/npyfile: npyfile: Write arrays continuously to .npy files · GitHub
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npyfile: Write arrays continuously to .npy files
Documentation StatusCI Status
npyfile is a a package that allows you to continuously write arrays to a .npy file. You can use it like a
standard Python file with the well-known context manager.
Warning: Due to the internal structure of .npy files, the arrays must have the same shape & dtype.
Example
Generate some artificial dummy data, e.g. images, & write them into a temporary file. A real world scenario reflecting
this is the continuous arrival of new images from a camera.
importpathlibimporttempfiletmp_dir=tempfile.TemporaryDirectory()
outfile=pathlib.Path(tmp_dir.name) /'images.npy'images=np.random.randint(low=0, high=255, size=(10,640,480,3))
withNpyFile(outfile) asfile:
forimginimages:
file.write(img)
np.testing.assert_array_equal(images, np.load(outfile))
tmp_dir.cleanup()
Credits
  • attrs: Project & infrastructure setup
  • numpy: File format
About
npyfile: Write arrays continuously to .npy files
Topics
datanumpypythonpython3
Resources
Readme
MIT license
Activity
Stars
4 stars
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1 watching
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var __re = new RegExp('^' + ".*" + '
GitHub - maxstrobel/npyfile: npyfile: Write arrays continuously to .npy files · GitHub
Skip to content
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Repository files navigation
npyfile: Write arrays continuously to .npy files
Documentation StatusCI Status
npyfile is a a package that allows you to continuously write arrays to a .npy file. You can use it like a
standard Python file with the well-known context manager.
Warning: Due to the internal structure of .npy files, the arrays must have the same shape & dtype.
Example
Generate some artificial dummy data, e.g. images, & write them into a temporary file. A real world scenario reflecting
this is the continuous arrival of new images from a camera.
importpathlibimporttempfiletmp_dir=tempfile.TemporaryDirectory()
outfile=pathlib.Path(tmp_dir.name) /'images.npy'images=np.random.randint(low=0, high=255, size=(10,640,480,3))
withNpyFile(outfile) asfile:
forimginimages:
file.write(img)
np.testing.assert_array_equal(images, np.load(outfile))
tmp_dir.cleanup()
Credits
  • attrs: Project & infrastructure setup
  • numpy: File format
About
npyfile: Write arrays continuously to .npy files
Topics
datanumpypythonpython3
Resources
Readme
MIT license
Activity
Stars
4 stars
Watchers
1 watching
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0 forks
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try {
var __m = "youtube.com";
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GitHub - maxstrobel/npyfile: npyfile: Write arrays continuously to .npy files · GitHub
Skip to content
BranchesTags
Repository files navigation
npyfile: Write arrays continuously to .npy files
Documentation StatusCI Status
npyfile is a a package that allows you to continuously write arrays to a .npy file. You can use it like a
standard Python file with the well-known context manager.
Warning: Due to the internal structure of .npy files, the arrays must have the same shape & dtype.
Example
Generate some artificial dummy data, e.g. images, & write them into a temporary file. A real world scenario reflecting
this is the continuous arrival of new images from a camera.
importpathlibimporttempfiletmp_dir=tempfile.TemporaryDirectory()
outfile=pathlib.Path(tmp_dir.name) /'images.npy'images=np.random.randint(low=0, high=255, size=(10,640,480,3))
withNpyFile(outfile) asfile:
forimginimages:
file.write(img)
np.testing.assert_array_equal(images, np.load(outfile))
tmp_dir.cleanup()
Credits
  • attrs: Project & infrastructure setup
  • numpy: File format
About
npyfile: Write arrays continuously to .npy files
Topics
datanumpypythonpython3
Resources
Readme
MIT license
Activity
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1 watching
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GitHub - maxstrobel/npyfile: npyfile: Write arrays continuously to .npy files · GitHub
Skip to content
BranchesTags
Repository files navigation
npyfile: Write arrays continuously to .npy files
Documentation StatusCI Status
npyfile is a a package that allows you to continuously write arrays to a .npy file. You can use it like a
standard Python file with the well-known context manager.
Warning: Due to the internal structure of .npy files, the arrays must have the same shape & dtype.
Example
Generate some artificial dummy data, e.g. images, & write them into a temporary file. A real world scenario reflecting
this is the continuous arrival of new images from a camera.
importpathlibimporttempfiletmp_dir=tempfile.TemporaryDirectory()
outfile=pathlib.Path(tmp_dir.name) /'images.npy'images=np.random.randint(low=0, high=255, size=(10,640,480,3))
withNpyFile(outfile) asfile:
forimginimages:
file.write(img)
np.testing.assert_array_equal(images, np.load(outfile))
tmp_dir.cleanup()
Credits
  • attrs: Project & infrastructure setup
  • numpy: File format
About
npyfile: Write arrays continuously to .npy files
Topics
datanumpypythonpython3
Resources
Readme
MIT license
Activity
Stars
4 stars
Watchers
1 watching
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GitHub - maxstrobel/npyfile: npyfile: Write arrays continuously to .npy files · GitHub
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BranchesTags
Repository files navigation
npyfile: Write arrays continuously to .npy files
Documentation StatusCI Status
npyfile is a a package that allows you to continuously write arrays to a .npy file. You can use it like a
standard Python file with the well-known context manager.
Warning: Due to the internal structure of .npy files, the arrays must have the same shape & dtype.
Example
Generate some artificial dummy data, e.g. images, & write them into a temporary file. A real world scenario reflecting
this is the continuous arrival of new images from a camera.
importpathlibimporttempfiletmp_dir=tempfile.TemporaryDirectory()
outfile=pathlib.Path(tmp_dir.name) /'images.npy'images=np.random.randint(low=0, high=255, size=(10,640,480,3))
withNpyFile(outfile) asfile:
forimginimages:
file.write(img)
np.testing.assert_array_equal(images, np.load(outfile))
tmp_dir.cleanup()
Credits
  • attrs: Project & infrastructure setup
  • numpy: File format
About
npyfile: Write arrays continuously to .npy files
Topics
datanumpypythonpython3
Resources
Readme
MIT license
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1 watching
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GitHub - maxstrobel/npyfile: npyfile: Write arrays continuously to .npy files · GitHub
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npyfile: Write arrays continuously to .npy files
Documentation StatusCI Status
npyfile is a a package that allows you to continuously write arrays to a .npy file. You can use it like a
standard Python file with the well-known context manager.
Warning: Due to the internal structure of .npy files, the arrays must have the same shape & dtype.
Example
Generate some artificial dummy data, e.g. images, & write them into a temporary file. A real world scenario reflecting
this is the continuous arrival of new images from a camera.
importpathlibimporttempfiletmp_dir=tempfile.TemporaryDirectory()
outfile=pathlib.Path(tmp_dir.name) /'images.npy'images=np.random.randint(low=0, high=255, size=(10,640,480,3))
withNpyFile(outfile) asfile:
forimginimages:
file.write(img)
np.testing.assert_array_equal(images, np.load(outfile))
tmp_dir.cleanup()
Credits
  • attrs: Project & infrastructure setup
  • numpy: File format
About
npyfile: Write arrays continuously to .npy files
Topics
datanumpypythonpython3
Resources
Readme
MIT license
Activity
Stars
4 stars
Watchers
1 watching
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