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Add SuperDataScience logo as a new starter shape. #131

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May 21, 2023
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Add SuperDataScience logo as a new starter shape. #131

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3140e3c
Add SDS logo as a new starter shape.
stefmolin May 21, 2023
80af5fb
Add test for plotting available starter shapes in docs.
stefmolin May 21, 2023
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23 changes: 16 additions & 7 deletions src/data_morph/data/loader.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,16 +22,20 @@ class DataLoader:
.. plot::
:caption:
Datasets currently included in Data Morph. The ``dino``
shape is Alberto Cairo's `Datasaurus`_. The Python logo
is a `trademark of the Python Software Foundation (PSF)
<https://www.python.org/psf/trademarks/>`_, used with permission
from the Foundation. Note that CSV files are also supported
shape is Alberto Cairo's `Datasaurus`_. All logos are used
with permission (see below). Note that CSV files are also supported
by the :meth:`.load_dataset` method.

from data_morph.data.loader import DataLoader
DataLoader.plot_available_datasets()

.. _Datasaurus: http://www.thefunctionalart.com/2016/08/download-datasaurus-never-trust-summary.html

.. important:: All logos are used with permission.

* The Python logo is a `trademark of the Python Software Foundation (PSF)
<https://www.python.org/psf/trademarks/>`_, used with permission from the Foundation.
* The `SuperDataScience (SDS) <https://www.superdatascience.com/>`_ logo is used with permission.
"""

_DATA_PATH: str = 'data/starter_shapes/'
Expand All @@ -43,9 +47,10 @@ class DataLoader:
'music': 'music.csv',
'panda': 'panda.csv',
'Python': 'python.csv',
'SDS': 'superdatascience.csv',
'sheep': 'sheep.csv',
}
AVAILABLE_DATASETS = sorted(list(_DATASETS.keys()), key=str.lower)
AVAILABLE_DATASETS = sorted(_DATASETS.keys(), key=str.lower)
"""list[str]: List of available built-in starter datasets,
which can be visualized with :meth:`plot_available_datasets`."""

Expand Down Expand Up @@ -82,7 +87,9 @@ def load_dataset(
class directly.
"""
if dataset == 'python':
dataset = 'Python'
dataset = dataset.capitalize()
elif dataset == 'sds':
dataset = dataset.upper()
try:
filepath = files(MAIN_DIR).joinpath(
Path(cls._DATA_PATH) / cls._DATASETS[dataset]
Expand Down Expand Up @@ -115,7 +122,7 @@ def plot_available_datasets(cls) -> Axes:
See Also
--------
AVAILABLE_DATASETS
The list of available datasets built into ``data_morph``.
The list of available datasets built into Data Morph.
"""
num_plots = len(cls.AVAILABLE_DATASETS)
num_cols = 3
Expand Down Expand Up @@ -145,6 +152,8 @@ def plot_available_datasets(cls) -> Axes:

if dataset == 'Python':
dataset += u' logo\u2122'
elif dataset == 'SDS':
dataset += ' logo'

ax.scatter(points.df.x, points.df.y, s=4, color='black')
ax.set(
Expand Down
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