# Creates DataFrames from product, permutations, combinations, combinations_with_replacement with best dtype
```python
# Tested with:
# Python 3.9.13
# Windows 10
pip install a-pandas-ex-combinatoric-iterators-to-df
from a_pandas_ex_combinatoric_iterators_to_df import pd_add_combinatoric_iterators_to_df
import pandas as pd
pd_add_combinatoric_iterators_to_df()
df1=pd.Q_product_to_df(iterable=list(range(256)), n=3)
df1
Out[3]:
0 1 2
0 0 0 0
1 0 0 1
2 0 0 2
3 0 0 3
4 0 0 4
... ... ...
16777211 255 255 251
16777212 255 255 252
16777213 255 255 253
16777214 255 255 254
16777215 255 255 255
[16777216 rows x 3 columns]
df1.dtypes
Out[4]:
0 uint8
1 uint8
2 uint8
dtype: object
df2=pd.Q_permutations_to_df(iterable=list(range(256)), n=3)
df2
Out[5]:
0 1 2
0 0 1 2
1 0 1 3
2 0 1 4
3 0 1 5
4 0 1 6
... ... ...
16581115 255 254 249
16581116 255 254 250
16581117 255 254 251
16581118 255 254 252
16581119 255 254 253
[16581120 rows x 3 columns]
df3=pd.Q_combinations_to_df(iterable=list(range(256)), n=3)
df3
Out[6]:
0 1 2
0 0 1 2
1 0 1 3
2 0 1 4
3 0 1 5
4 0 1 6
... ... ...
2763515 251 254 255
2763516 252 253 254
2763517 252 253 255
2763518 252 254 255
2763519 253 254 255
[2763520 rows x 3 columns]
df4=pd.Q_combinations_with_replacement_to_df(iterable=list(range(256)), n=3)
df4
Out[7]:
0 1 2
0 0 0 0
1 0 0 1
2 0 0 2
3 0 0 3
4 0 0 4
... ... ...
2829051 253 255 255
2829052 254 254 254
2829053 254 254 255
2829054 254 255 255
2829055 255 255 255
[2829056 rows x 3 columns]
"""
```
Raw data
{
"_id": null,
"home_page": "https://github.com/hansalemaos/a_pandas_ex_combinatoric_iterators_to_df",
"name": "a-pandas-ex-combinatoric-iterators-to-df",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "pandas,permutations,product",
"author": "Johannes Fischer",
"author_email": "<aulasparticularesdealemaosp@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/b6/31/dc3bbcd34ed1b41dc3816978c5bd8835568979b96c6a726fc1b3c8c62e03/a_pandas_ex_combinatoric_iterators_to_df-0.10.tar.gz",
"platform": null,
"description": "\n# Creates DataFrames from product, permutations, combinations, combinations_with_replacement with best dtype\n\n```python\n# Tested with:\n# Python 3.9.13\n# Windows 10\n\npip install a-pandas-ex-combinatoric-iterators-to-df\n\n\nfrom a_pandas_ex_combinatoric_iterators_to_df import pd_add_combinatoric_iterators_to_df\nimport pandas as pd\npd_add_combinatoric_iterators_to_df()\n\ndf1=pd.Q_product_to_df(iterable=list(range(256)), n=3)\ndf1\nOut[3]: \n\n 0 1 2\n0 0 0 0\n1 0 0 1\n2 0 0 2\n3 0 0 3\n4 0 0 4\n ... ... ...\n16777211 255 255 251\n16777212 255 255 252\n16777213 255 255 253\n16777214 255 255 254\n16777215 255 255 255\n[16777216 rows x 3 columns]\n\ndf1.dtypes\nOut[4]: \n0 uint8\n1 uint8\n2 uint8\ndtype: object\n\n\ndf2=pd.Q_permutations_to_df(iterable=list(range(256)), n=3)\ndf2\nOut[5]: \n 0 1 2\n0 0 1 2\n1 0 1 3\n2 0 1 4\n3 0 1 5\n4 0 1 6\n ... ... ...\n16581115 255 254 249\n16581116 255 254 250\n16581117 255 254 251\n16581118 255 254 252\n16581119 255 254 253\n[16581120 rows x 3 columns]\n\n\ndf3=pd.Q_combinations_to_df(iterable=list(range(256)), n=3)\ndf3\nOut[6]: \n 0 1 2\n0 0 1 2\n1 0 1 3\n2 0 1 4\n3 0 1 5\n4 0 1 6\n ... ... ...\n2763515 251 254 255\n2763516 252 253 254\n2763517 252 253 255\n2763518 252 254 255\n2763519 253 254 255\n[2763520 rows x 3 columns]\n\ndf4=pd.Q_combinations_with_replacement_to_df(iterable=list(range(256)), n=3)\ndf4\nOut[7]: \n 0 1 2\n0 0 0 0\n1 0 0 1\n2 0 0 2\n3 0 0 3\n4 0 0 4\n ... ... ...\n2829051 253 255 255\n2829052 254 254 254\n2829053 254 254 255\n2829054 254 255 255\n2829055 255 255 255\n[2829056 rows x 3 columns]\n\n\"\"\"\n\n\n\n```\n\n\n\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Creates DataFrames from product, permutations, combinations, combinations_with_replacement with best dtype",
"version": "0.10",
"split_keywords": [
"pandas",
"permutations",
"product"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "73d55b6082411ff0ad9638696e7363143aa3a0edcd1d16e2e549d4d94672a6fb",
"md5": "51b2395b97a3d1696846a03dd460a9c3",
"sha256": "fe241f0e0a5b4d9c5c70b4fd21f0ab4a3cfd45cdaa55e628b2d332cfe1a52747"
},
"downloads": -1,
"filename": "a_pandas_ex_combinatoric_iterators_to_df-0.10-py3-none-any.whl",
"has_sig": false,
"md5_digest": "51b2395b97a3d1696846a03dd460a9c3",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 5932,
"upload_time": "2023-01-06T04:00:00",
"upload_time_iso_8601": "2023-01-06T04:00:00.631773Z",
"url": "https://files.pythonhosted.org/packages/73/d5/5b6082411ff0ad9638696e7363143aa3a0edcd1d16e2e549d4d94672a6fb/a_pandas_ex_combinatoric_iterators_to_df-0.10-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b631dc3bbcd34ed1b41dc3816978c5bd8835568979b96c6a726fc1b3c8c62e03",
"md5": "3a68e6f13b0b5a70f2954ddc165a2662",
"sha256": "edbbeee1b43e27aa99473b1094d4bbe2030b8246e15ce322b57fd04ffb6e13e9"
},
"downloads": -1,
"filename": "a_pandas_ex_combinatoric_iterators_to_df-0.10.tar.gz",
"has_sig": false,
"md5_digest": "3a68e6f13b0b5a70f2954ddc165a2662",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 4116,
"upload_time": "2023-01-06T04:00:02",
"upload_time_iso_8601": "2023-01-06T04:00:02.448430Z",
"url": "https://files.pythonhosted.org/packages/b6/31/dc3bbcd34ed1b41dc3816978c5bd8835568979b96c6a726fc1b3c8c62e03/a_pandas_ex_combinatoric_iterators_to_df-0.10.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-01-06 04:00:02",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "hansalemaos",
"github_project": "a_pandas_ex_combinatoric_iterators_to_df",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [],
"lcname": "a-pandas-ex-combinatoric-iterators-to-df"
}
JSON
