# Converts pandas DataFrames/Series into Iterator[tuple]
```python
pip install a-pandas-ex-to-tuple
```
```python
from a_pandas_ex_to_tuple import pd_add_tuples
pd_add_tuples()
import pandas as pd
from pprint import pprint
df = pd.read_csv("https://github.com/pandas-dev/pandas/raw/main/doc/data/titanic.csv")
df = df[:5]
# DataFrame
t1 = tuple(df.ds_to_tuples(index=False, columns=True))
t2 = tuple(df.ds_to_tuples(index=True, columns=True))
t3 = tuple(df.ds_to_tuples(index=True, columns=False))
t4 = tuple(df.ds_to_tuples(index=False, columns=False))
pprint(t1)
pprint(t2)
pprint(t3)
pprint(t4)
# Series
t11 = tuple(df.Name.ds_to_tuples( index=False, columns=True))
t21 = tuple(df.Name.ds_to_tuples( index=True, columns=True))
t31 = tuple(df.Name.ds_to_tuples( index=True, columns=False))
t41 = tuple(df.Name.ds_to_tuples( index=False, columns=False))
pprint(t11)
pprint(t21)
pprint(t31)
pprint(t41)
(('PassengerId',
'Survived',
'Pclass',
'Name',
'Sex',
'Age',
'SibSp',
'Parch',
'Ticket',
'Fare',
'Cabin',
'Embarked'),
(1,
0,
3,
'Braund, Mr. Owen Harris',
'male',
22.0,
1,
0,
'A/5 21171',
7.25,
nan,
'S'),
(2,
1,
1,
'Cumings, Mrs. John Bradley (Florence Briggs Thayer)',
'female',
38.0,
1,
0,
'PC 17599',
71.2833,
'C85',
'C'),
(3,
1,
3,
'Heikkinen, Miss. Laina',
'female',
26.0,
0,
0,
'STON/O2. 3101282',
7.925,
nan,
'S'),
(4,
1,
1,
'Futrelle, Mrs. Jacques Heath (Lily May Peel)',
'female',
35.0,
1,
0,
'113803',
53.1,
'C123',
'S'),
(5,
0,
3,
'Allen, Mr. William Henry',
'male',
35.0,
0,
0,
'373450',
8.05,
nan,
'S'))
(('index',
'PassengerId',
'Survived',
'Pclass',
'Name',
'Sex',
'Age',
'SibSp',
'Parch',
'Ticket',
'Fare',
'Cabin',
'Embarked'),
(0,
1,
0,
3,
'Braund, Mr. Owen Harris',
'male',
22.0,
1,
0,
'A/5 21171',
7.25,
nan,
'S'),
(1,
2,
1,
1,
'Cumings, Mrs. John Bradley (Florence Briggs Thayer)',
'female',
38.0,
1,
0,
'PC 17599',
71.2833,
'C85',
'C'),
(2,
3,
1,
3,
'Heikkinen, Miss. Laina',
'female',
26.0,
0,
0,
'STON/O2. 3101282',
7.925,
nan,
'S'),
(3,
4,
1,
1,
'Futrelle, Mrs. Jacques Heath (Lily May Peel)',
'female',
35.0,
1,
0,
'113803',
53.1,
'C123',
'S'),
(4,
5,
0,
3,
'Allen, Mr. William Henry',
'male',
35.0,
0,
0,
'373450',
8.05,
nan,
'S'))
((0,
1,
0,
3,
'Braund, Mr. Owen Harris',
'male',
22.0,
1,
0,
'A/5 21171',
7.25,
nan,
'S'),
(1,
2,
1,
1,
'Cumings, Mrs. John Bradley (Florence Briggs Thayer)',
'female',
38.0,
1,
0,
'PC 17599',
71.2833,
'C85',
'C'),
(2,
3,
1,
3,
'Heikkinen, Miss. Laina',
'female',
26.0,
0,
0,
'STON/O2. 3101282',
7.925,
nan,
'S'),
(3,
4,
1,
1,
'Futrelle, Mrs. Jacques Heath (Lily May Peel)',
'female',
35.0,
1,
0,
'113803',
53.1,
'C123',
'S'),
(4,
5,
0,
3,
'Allen, Mr. William Henry',
'male',
35.0,
0,
0,
'373450',
8.05,
nan,
'S'))
((1,
0,
3,
'Braund, Mr. Owen Harris',
'male',
22.0,
1,
0,
'A/5 21171',
7.25,
nan,
'S'),
(2,
1,
1,
'Cumings, Mrs. John Bradley (Florence Briggs Thayer)',
'female',
38.0,
1,
0,
'PC 17599',
71.2833,
'C85',
'C'),
(3,
1,
3,
'Heikkinen, Miss. Laina',
'female',
26.0,
0,
0,
'STON/O2. 3101282',
7.925,
nan,
'S'),
(4,
1,
1,
'Futrelle, Mrs. Jacques Heath (Lily May Peel)',
'female',
35.0,
1,
0,
'113803',
53.1,
'C123',
'S'),
(5,
0,
3,
'Allen, Mr. William Henry',
'male',
35.0,
0,
0,
'373450',
8.05,
nan,
'S'))
(('Name',),
('Braund, Mr. Owen Harris',),
('Cumings, Mrs. John Bradley (Florence Briggs Thayer)',),
('Heikkinen, Miss. Laina',),
('Futrelle, Mrs. Jacques Heath (Lily May Peel)',),
('Allen, Mr. William Henry',))
(('index', 'Name'),
(0, 'Braund, Mr. Owen Harris'),
(1, 'Cumings, Mrs. John Bradley (Florence Briggs Thayer)'),
(2, 'Heikkinen, Miss. Laina'),
(3, 'Futrelle, Mrs. Jacques Heath (Lily May Peel)'),
(4, 'Allen, Mr. William Henry'))
((0, 'Braund, Mr. Owen Harris'),
(1, 'Cumings, Mrs. John Bradley (Florence Briggs Thayer)'),
(2, 'Heikkinen, Miss. Laina'),
(3, 'Futrelle, Mrs. Jacques Heath (Lily May Peel)'),
(4, 'Allen, Mr. William Henry'))
(('Braund, Mr. Owen Harris',),
('Cumings, Mrs. John Bradley (Florence Briggs Thayer)',),
('Heikkinen, Miss. Laina',),
('Futrelle, Mrs. Jacques Heath (Lily May Peel)',),
('Allen, Mr. William Henry',))
```
Raw data
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"description": "\n# Converts pandas DataFrames/Series into Iterator[tuple]\n\n\n\n```python\n\npip install a-pandas-ex-to-tuple\n\n```\n\n\n\n\n\n```python\n\nfrom a_pandas_ex_to_tuple import pd_add_tuples\n\npd_add_tuples()\n\nimport pandas as pd\n\nfrom pprint import pprint\n\ndf = pd.read_csv(\"https://github.com/pandas-dev/pandas/raw/main/doc/data/titanic.csv\")\n\ndf = df[:5]\n\n# DataFrame\n\nt1 = tuple(df.ds_to_tuples(index=False, columns=True))\n\nt2 = tuple(df.ds_to_tuples(index=True, columns=True))\n\nt3 = tuple(df.ds_to_tuples(index=True, columns=False))\n\nt4 = tuple(df.ds_to_tuples(index=False, columns=False))\n\npprint(t1)\n\npprint(t2)\n\npprint(t3)\n\npprint(t4)\n\n# Series\n\nt11 = tuple(df.Name.ds_to_tuples( index=False, columns=True))\n\nt21 = tuple(df.Name.ds_to_tuples( index=True, columns=True))\n\nt31 = tuple(df.Name.ds_to_tuples( index=True, columns=False))\n\nt41 = tuple(df.Name.ds_to_tuples( index=False, columns=False))\n\npprint(t11)\n\npprint(t21)\n\npprint(t31)\n\npprint(t41)\n\n(('PassengerId',\n\n 'Survived',\n\n 'Pclass',\n\n 'Name',\n\n 'Sex',\n\n 'Age',\n\n 'SibSp',\n\n 'Parch',\n\n 'Ticket',\n\n 'Fare',\n\n 'Cabin',\n\n 'Embarked'),\n\n (1,\n\n 0,\n\n 3,\n\n 'Braund, Mr. Owen Harris',\n\n 'male',\n\n 22.0,\n\n 1,\n\n 0,\n\n 'A/5 21171',\n\n 7.25,\n\n nan,\n\n 'S'),\n\n (2,\n\n 1,\n\n 1,\n\n 'Cumings, Mrs. John Bradley (Florence Briggs Thayer)',\n\n 'female',\n\n 38.0,\n\n 1,\n\n 0,\n\n 'PC 17599',\n\n 71.2833,\n\n 'C85',\n\n 'C'),\n\n (3,\n\n 1,\n\n 3,\n\n 'Heikkinen, Miss. Laina',\n\n 'female',\n\n 26.0,\n\n 0,\n\n 0,\n\n 'STON/O2. 3101282',\n\n 7.925,\n\n nan,\n\n 'S'),\n\n (4,\n\n 1,\n\n 1,\n\n 'Futrelle, Mrs. Jacques Heath (Lily May Peel)',\n\n 'female',\n\n 35.0,\n\n 1,\n\n 0,\n\n '113803',\n\n 53.1,\n\n 'C123',\n\n 'S'),\n\n (5,\n\n 0,\n\n 3,\n\n 'Allen, Mr. William Henry',\n\n 'male',\n\n 35.0,\n\n 0,\n\n 0,\n\n '373450',\n\n 8.05,\n\n nan,\n\n 'S'))\n\n(('index',\n\n 'PassengerId',\n\n 'Survived',\n\n 'Pclass',\n\n 'Name',\n\n 'Sex',\n\n 'Age',\n\n 'SibSp',\n\n 'Parch',\n\n 'Ticket',\n\n 'Fare',\n\n 'Cabin',\n\n 'Embarked'),\n\n (0,\n\n 1,\n\n 0,\n\n 3,\n\n 'Braund, Mr. Owen Harris',\n\n 'male',\n\n 22.0,\n\n 1,\n\n 0,\n\n 'A/5 21171',\n\n 7.25,\n\n nan,\n\n 'S'),\n\n (1,\n\n 2,\n\n 1,\n\n 1,\n\n 'Cumings, Mrs. John Bradley (Florence Briggs Thayer)',\n\n 'female',\n\n 38.0,\n\n 1,\n\n 0,\n\n 'PC 17599',\n\n 71.2833,\n\n 'C85',\n\n 'C'),\n\n (2,\n\n 3,\n\n 1,\n\n 3,\n\n 'Heikkinen, Miss. Laina',\n\n 'female',\n\n 26.0,\n\n 0,\n\n 0,\n\n 'STON/O2. 3101282',\n\n 7.925,\n\n nan,\n\n 'S'),\n\n (3,\n\n 4,\n\n 1,\n\n 1,\n\n 'Futrelle, Mrs. Jacques Heath (Lily May Peel)',\n\n 'female',\n\n 35.0,\n\n 1,\n\n 0,\n\n '113803',\n\n 53.1,\n\n 'C123',\n\n 'S'),\n\n (4,\n\n 5,\n\n 0,\n\n 3,\n\n 'Allen, Mr. William Henry',\n\n 'male',\n\n 35.0,\n\n 0,\n\n 0,\n\n '373450',\n\n 8.05,\n\n nan,\n\n 'S'))\n\n((0,\n\n 1,\n\n 0,\n\n 3,\n\n 'Braund, Mr. Owen Harris',\n\n 'male',\n\n 22.0,\n\n 1,\n\n 0,\n\n 'A/5 21171',\n\n 7.25,\n\n nan,\n\n 'S'),\n\n (1,\n\n 2,\n\n 1,\n\n 1,\n\n 'Cumings, Mrs. John Bradley (Florence Briggs Thayer)',\n\n 'female',\n\n 38.0,\n\n 1,\n\n 0,\n\n 'PC 17599',\n\n 71.2833,\n\n 'C85',\n\n 'C'),\n\n (2,\n\n 3,\n\n 1,\n\n 3,\n\n 'Heikkinen, Miss. Laina',\n\n 'female',\n\n 26.0,\n\n 0,\n\n 0,\n\n 'STON/O2. 3101282',\n\n 7.925,\n\n nan,\n\n 'S'),\n\n (3,\n\n 4,\n\n 1,\n\n 1,\n\n 'Futrelle, Mrs. Jacques Heath (Lily May Peel)',\n\n 'female',\n\n 35.0,\n\n 1,\n\n 0,\n\n '113803',\n\n 53.1,\n\n 'C123',\n\n 'S'),\n\n (4,\n\n 5,\n\n 0,\n\n 3,\n\n 'Allen, Mr. William Henry',\n\n 'male',\n\n 35.0,\n\n 0,\n\n 0,\n\n '373450',\n\n 8.05,\n\n nan,\n\n 'S'))\n\n((1,\n\n 0,\n\n 3,\n\n 'Braund, Mr. Owen Harris',\n\n 'male',\n\n 22.0,\n\n 1,\n\n 0,\n\n 'A/5 21171',\n\n 7.25,\n\n nan,\n\n 'S'),\n\n (2,\n\n 1,\n\n 1,\n\n 'Cumings, Mrs. John Bradley (Florence Briggs Thayer)',\n\n 'female',\n\n 38.0,\n\n 1,\n\n 0,\n\n 'PC 17599',\n\n 71.2833,\n\n 'C85',\n\n 'C'),\n\n (3,\n\n 1,\n\n 3,\n\n 'Heikkinen, Miss. Laina',\n\n 'female',\n\n 26.0,\n\n 0,\n\n 0,\n\n 'STON/O2. 3101282',\n\n 7.925,\n\n nan,\n\n 'S'),\n\n (4,\n\n 1,\n\n 1,\n\n 'Futrelle, Mrs. Jacques Heath (Lily May Peel)',\n\n 'female',\n\n 35.0,\n\n 1,\n\n 0,\n\n '113803',\n\n 53.1,\n\n 'C123',\n\n 'S'),\n\n (5,\n\n 0,\n\n 3,\n\n 'Allen, Mr. William Henry',\n\n 'male',\n\n 35.0,\n\n 0,\n\n 0,\n\n '373450',\n\n 8.05,\n\n nan,\n\n 'S'))\n\n(('Name',),\n\n ('Braund, Mr. Owen Harris',),\n\n ('Cumings, Mrs. John Bradley (Florence Briggs Thayer)',),\n\n ('Heikkinen, Miss. Laina',),\n\n ('Futrelle, Mrs. Jacques Heath (Lily May Peel)',),\n\n ('Allen, Mr. William Henry',))\n\n(('index', 'Name'),\n\n (0, 'Braund, Mr. Owen Harris'),\n\n (1, 'Cumings, Mrs. John Bradley (Florence Briggs Thayer)'),\n\n (2, 'Heikkinen, Miss. Laina'),\n\n (3, 'Futrelle, Mrs. Jacques Heath (Lily May Peel)'),\n\n (4, 'Allen, Mr. William Henry'))\n\n((0, 'Braund, Mr. Owen Harris'),\n\n (1, 'Cumings, Mrs. John Bradley (Florence Briggs Thayer)'),\n\n (2, 'Heikkinen, Miss. Laina'),\n\n (3, 'Futrelle, Mrs. Jacques Heath (Lily May Peel)'),\n\n (4, 'Allen, Mr. William Henry'))\n\n(('Braund, Mr. Owen Harris',),\n\n ('Cumings, Mrs. John Bradley (Florence Briggs Thayer)',),\n\n ('Heikkinen, Miss. Laina',),\n\n ('Futrelle, Mrs. Jacques Heath (Lily May Peel)',),\n\n ('Allen, Mr. William Henry',))\n\n\n\n```\n\n",
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JSON
