Pandas DataReaders with support of requests and requests-cache
Links
Documentation can be found at Read The Docs ;
Source code and issue tracking can be found at GitHub.
Feel free to tip me!
Official Pandas DataReader can be found at https://github.com/pydata/pandas-datareader
1 maintainer
Metadata
1 maintainer
Release files for pandas_datareaders_unofficial 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pandas_datareaders_unofficial-0.0.4.tar.gz | 25.4 kB | Without provenance | Details for pandas_datareaders_unofficial-0.0.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pandas_datareaders_unofficial-0.0.4-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for pandas_datareaders_unofficial-0.0.4-py2.py3-none-any.whl |
Total release size: 62.1 kB
Release files / pandas_datareaders_unofficial-0.0.4.tar.gz
| Download URL | pandas_datareaders_unofficial-0.0.4.tar.gz |
|---|---|
| Size | 25.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0a0f62c7acb8042c1346f9991f96ce0218946ecb112a51fdf5bd7e3475e1fb9b
|
|
BLAKE2b-256 checksum How to use checksums |
3586be437de0e8204521348a8b006a2850b3aa3ac4e97cfda7dbec4fe0b750df
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / pandas_datareaders_unofficial-0.0.4-py2.py3-none-any.whl
| Download URL | pandas_datareaders_unofficial-0.0.4-py2.py3-none-any.whl |
|---|---|
| Size | 36.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
e3597843767d9e9e8bfc7f5c8cc3bb861eddd75f53725e43355c8ecb29f258de
|
|
BLAKE2b-256 checksum How to use checksums |
fddc2b2e991ddcf6f9426b1cbf8f4b212083b08d7a573c79769a98056e95d714
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for pandas_datareaders_unofficial 0.0.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
