Software Attributes

Contents

Software Attributes#

The sections here tabulate the software attribute database. Each attribute (column) is described in the Attribute Schema. Some columns contain lists of strings which means that they cannot be fully sorted. Instead, they can be filtered by searching for a string with the following Sequel query:

SELECT * FROM $table WHERE <column name> LIKE '%<search string>%';

-- For example:
SELECT * FROM $table WHERE system_location LIKE '%land%';

Show code cell content Hide code cell content

from pathlib import Path
import yaml
import datapane as dp
import pandas as pd

software_attr_dir = Path("..", "..", "software_attributes")
model_list_inputs = yaml.safe_load( open(software_attr_dir / "database_list.yaml", "r") )
models = model_list_inputs["active"]

model_attributes_map = {
    model: yaml.safe_load( open(Path("..", "..", "software_attributes", "database", f"{model}.yaml"), "r") )
    for model in models
}

df = pd.DataFrame.from_dict(model_attributes_map, orient="index")
# print(list(df.columns))
# print(df)

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[1], line 3
from pathlib import Path
import yaml
----> 3 import datapane as dp
import pandas as pd
software_attr_dir = Path("..", "..", "software_attributes")

File /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/datapane/__init__.py:21
__version__ = "0.17.0"
# Public API re-exports
---> 21 from .client import (  # isort:skip  otherwise circular import issue
   IN_PYTEST,
   DPClientError,
   DPMode,
   enable_logging,
   print_debug_info,
   get_dp_mode,
   set_dp_mode,
)  # isort:skip  otherwise circular import issue
from .blocks import (
   HTML,
   Attachment,
   (...)
   wrap_block,
)
from .processors import (
   FontChoice,
   Formatting,
   (...)
   upload_report,
)

File /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/datapane/client/__init__.py:4
# Copyright 2020 StackHut Limited (trading as Datapane)
# SPDX-License-Identifier: Apache-2.0
# flake8: noqa:F401
----> 4 from .exceptions import DPClientError
from .utils import IN_PYTEST, DPMode, display_msg, enable_logging, get_dp_mode, log, print_debug_info, set_dp_mode
# from .config import init  # isort:skip  otherwise circular import issue

File /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/datapane/client/exceptions.py:1
----> 1 from datapane.common import DPError
def add_help_text(x: str) -> str:
   return f"{x}\nPlease run with `dp.enable_logging()`, restart your Jupyter kernel/Python instance, and/or visit https://www.github.com/datapane/datapane"

File /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/datapane/common/__init__.py:8
"""
Shared code used by client and dp-server
NOTE - this module should not depend on any client or server specific code and is imported first
"""
# Copyright 2020 StackHut Limited (trading as Datapane)
# SPDX-License-Identifier: Apache-2.0
# flake8: noqa:F401
----> 8 from .datafiles import ArrowFormat
from .dp_types import (
   ARROW_EXT,
   ARROW_MIMETYPE,
   (...)
   log,
)
from .ops_utils import pushd, timestamp

File /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/datapane/common/datafiles.py:6
import enum
from typing import IO, Dict, Type, Union
----> 6 import pandas as pd
import pyarrow as pa
from pandas.errors import ParserError

File /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pandas/__init__.py:22
del _hard_dependencies, _dependency, _missing_dependencies
# numpy compat
---> 22 from pandas.compat import is_numpy_dev as _is_numpy_dev  # pyright: ignore # noqa:F401
try:
   from pandas._libs import hashtable as _hashtable, lib as _lib, tslib as _tslib

File /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pandas/compat/__init__.py:18
from typing import TYPE_CHECKING
from pandas._typing import F
---> 18 from pandas.compat.numpy import (
   is_numpy_dev,
   np_version_under1p21,
)
from pandas.compat.pyarrow import (
   pa_version_under1p01,
   pa_version_under2p0,
   (...)
   pa_version_under9p0,
)
if TYPE_CHECKING:

File /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pandas/compat/numpy/__init__.py:4
""" support numpy compatibility across versions """
import numpy as np
----> 4 from pandas.util.version import Version
# numpy versioning
_np_version = np.__version__

File /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pandas/util/__init__.py:2
# pyright: reportUnusedImport = false
----> 2 from pandas.util._decorators import (  # noqa:F401
   Appender,
   Substitution,
   cache_readonly,
)
from pandas.core.util.hashing import (  # noqa:F401
   hash_array,
   hash_pandas_object,
)
def __getattr__(name):

File /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pandas/util/_decorators.py:14
from typing import (
   Any,
   Callable,
   Mapping,
   cast,
)
import warnings
---> 14 from pandas._libs.properties import cache_readonly
from pandas._typing import (
   F,
   T,
)
from pandas.util._exceptions import find_stack_level

File /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pandas/_libs/__init__.py:13
__all__ = [
   "NaT",
   "NaTType",
   (...)
   "Interval",
]
---> 13 from pandas._libs.interval import Interval
from pandas._libs.tslibs import (
   NaT,
   NaTType,
   (...)
   iNaT,
)

File /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pandas/_libs/interval.pyx:1, in init pandas._libs.interval()

ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

General#

Turbine Modeling#

Farm Modeling#

Cost Modeling#

Full Suite Modeling Comparison#

Distribution#

Documentation#

Testing#

Interfaces#

Input / Output#