numpy
Uses json_numpy for transparent loads and dumps of lists into numpy-arrayrs if the dtype is either purely int or float.
trees
Recursively read (or write) .json files in a tree of directories.
lines
JSON-lines or .jsonl is a powerful extension to the JSON-family.
import json_utils as ju
with ju.lines.open("my-items.jsonl.gz", mode="w|gz") as jl:
for i in range(100):
jl.write({"number": i})
with ju.lines.open("my-items.jsonl.gz", mode="r|gz") as jl:
for obj in jl:
print("item", obj["number"])1 maintainer
Metadata
1 maintainer
Release files for json-utils-sebastian-achim-mueller 0.0.6
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| json_utils_sebastian_achim_mueller-0.0.6.tar.gz | 4.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| json_utils_sebastian_achim_mueller-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.2 kB
Release files / json_utils_sebastian_achim_mueller-0.0.6.tar.gz
| Download URL | json_utils_sebastian_achim_mueller-0.0.6.tar.gz |
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| Size | 4.6 kB |
| Tags | Source |
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Release files / json_utils_sebastian_achim_mueller-0.0.6-py3-none-any.whl
| Download URL | json_utils_sebastian_achim_mueller-0.0.6-py3-none-any.whl |
|---|---|
| Size | 5.5 kB |
| Tags | Python 3 |
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