Lightweight utilities for processing Reddit data dumps in ZST format
Project description
redditdumps
Lightweight Python utilities for processing Reddit data dumps in ZST format.
These dumps are commonly found on Academic Torrents (Pushshift archives) and contain newline-delimited JSON compressed with Zstandard.
Installation
uv add redditdumps
Or with pip:
pip install redditdumps
Usage
Read a ZST file into a DataFrame
import redditdumps as rd
# Read entire file
df = rd.read_zst("RC_2024-01.zst")
# Filter by subreddit
df = rd.read_zst("RC_2024-01.zst", subreddit="science")
# Filter by multiple subreddits
df = rd.read_zst("RC_2024-01.zst", subreddit=["science", "askscience"])
# Select specific columns
df = rd.read_zst("RC_2024-01.zst", columns=["author", "body", "score"])
# Combine filters
df = rd.read_zst(
"RC_2024-01.zst",
subreddit="python",
columns=rd.MINIMAL_COMMENT_COLUMNS,
max_lines=100000,
)
Inspect file schema
# Discover columns in a file
schema = rd.inspect_schema("RC_2024-01.zst", sample_size=1000)
for col, info in schema.items():
print(f"{col}: {info['type']} ({info['count']} records)")
Built-in column schemas
# Common column sets for convenience
rd.COMMENT_COLUMNS # All standard comment fields
rd.SUBMISSION_COLUMNS # All standard submission fields
rd.MINIMAL_COMMENT_COLUMNS # Lightweight subset for comments
rd.MINIMAL_SUBMISSION_COLUMNS # Lightweight subset for submissions
File naming conventions
RC_*.zst- Reddit CommentsRS_*.zst- Reddit Submissions
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file redditdumps-0.1.0.tar.gz.
File metadata
- Download URL: redditdumps-0.1.0.tar.gz
- Upload date:
- Size: 9.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.24 {"installer":{"name":"uv","version":"0.9.24","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a520ffe0e404ce9d7dab781524319dbecb6317112ebc06e4a103dc41978341c4
|
|
| MD5 |
f08c626456cef76519afa9a3bbfb339a
|
|
| BLAKE2b-256 |
5eb35f86e3493d487fc31159217aae8f88a09c17cef28f0136c122e68bdea2b6
|
File details
Details for the file redditdumps-0.1.0-py3-none-any.whl.
File metadata
- Download URL: redditdumps-0.1.0-py3-none-any.whl
- Upload date:
- Size: 9.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.24 {"installer":{"name":"uv","version":"0.9.24","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8dfa046b98beed10eca5fe6b9cb6a2889d371cdd1b6170bb8a3961372c49f396
|
|
| MD5 |
b7737e608e82d7922065b02eb976d887
|
|
| BLAKE2b-256 |
d77b2a1865a048285482cdf51fe023dab017bb51e41c2e850dccb3782ef09275
|