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from __future__ import division, print_function
import inspect
import sys
def is_dataframe_like(df):
""" Looks like a Pandas DataFrame. ** Borrowed from dask.dataframe.utils ** """
typ = type(df)
return (
all(hasattr(typ, name) for name in ("groupby", "head", "merge", "mean"))
and all(hasattr(df, name) for name in ("dtypes", "columns"))
and not any(hasattr(typ, name) for name in ("name", "dtype"))
)
def is_series_like(s):
""" Looks like a Pandas Series. ** Borrowed from dask.dataframe.utils ** """
typ = type(s)
return (
all(hasattr(typ, name) for name in ("groupby", "head", "mean"))
and all(hasattr(s, name) for name in ("dtype", "name"))
and "index" not in typ.__name__.lower()
)
def is_index_like(s):
""" Looks like a Pandas Index. ** Borrowed from dask.dataframe.utils ** """
typ = type(s)
return (
all(hasattr(s, name) for name in ("name", "dtype"))
and "index" in typ.__name__.lower()
)
def get_base_frame_type(frame_name, is_frame_like, example=None):
"""Handles type check for input example for DataFrame/Series/Index initialization.
Returns the base type of streaming objects if type checks pass."""
if example is None:
raise TypeError("Missing required argument:'example'")
if is_frame_like is is_dataframe_like and not is_frame_like(example):
import pandas as pd
example = pd.DataFrame(example)
elif not is_frame_like(example):
msg = "Streaming {0} expects an example of {0} like objects. Got: {1}."\
.format(frame_name, example)
raise TypeError(msg)
return type(example)
def get_dataframe_package(df):
""" Utility function to return the top level package (pandas/cudf)
of DataFrame/Series/Index objects """
module = inspect.getmodule(df)
package, _, _ = module.__name__.partition('.')
return sys.modules[package]
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