StatsCanPy
Basic package for querying & downloading StatsCan data by table name. Saves data into a dataframe (Pandas or PySpark).
Allows for querying datasets via plain text search or table ID.
Installation
pip install statscanpy
Usage
Basic Usage
from statscanpy import StatsCanPy
# if isSpark==True, data returns will be in PySpark; otherwise it will return as a pandas.DataFrame
statscan = StatsCanPy(path="/data/saved/here", isSpark=True)
Getting Table ID from Table Name
await statscan.get_table_id_from_name("Household spending, Canada, regions and provinces")
Getting Table Data from Table Name
await statscan.get_table_from_name("Household spending, Canada, regions and provinces")
Searching for Table(s) by String
statscan.find_table_id_from_name("GDP", limit=15)
Further Reading
Metadata
Release files for statscanpy 1.1.1
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 |
|---|---|---|---|---|
| statscanpy-1.1.1.tar.gz | 4.4 kB | Without provenance | Details for statscanpy-1.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| statscanpy-1.1.1-py3-none-any.whl | Python 3 | none | any | Details for statscanpy-1.1.1-py3-none-any.whl |
Total release size: 8.5 kB
Release files / statscanpy-1.1.1.tar.gz
| Download URL | statscanpy-1.1.1.tar.gz |
|---|---|
| Size | 4.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.19
|
Release files / statscanpy-1.1.1-py3-none-any.whl
| Download URL | statscanpy-1.1.1-py3-none-any.whl |
|---|---|
| Size | 4.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.19
|
Security for statscanpy 1.1.1
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