def set_experimental_env(mode):
from modin.config import IsExperimental
IsExperimental.put(mode == "experimental")
performance.
* Although the use of experimental backends and engines is available through the
`modin.pandas` module when defining environment variable `MODIN_EXPERIMENTAL=true`,
the use of experimental I/O functions is available only through the
`modin.experimental.pandas` module.
Examples
--------
>>> import modin.experimental.pandas as pd
>>> df = pd.read_csv_glob("data*.csv")
"""
from modin.config import IsExperimental
IsExperimental.put(True)
# import numpy_wrap as early as possible to intercept all "import numpy" statements
# in the user code
from .numpy_wrap import _CAUGHT_NUMPY # noqa F401
from modin.pandas import * # noqa F401, F403
from .io_exp import ( # noqa F401
read_sql, read_csv_glob, read_pickle_distributed, to_pickle_distributed,
)
import warnings
setattr(DataFrame, "to_pickle_distributed",
to_pickle_distributed) # noqa: F405
warnings.warn(
"Thank you for using the Modin Experimental pandas API."