Revert "Add datafusion-python (#69)" (#257)

This reverts commit 46bde0bd14.

python/tests/generic.py

@@ -1,75 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-import unittest
-import tempfile
-import datetime
-import os.path
-import shutil
-
-import numpy
-import pyarrow
-import datafusion
-
-# used to write parquet files
-import pyarrow.parquet
-
-
-def data():
-    data = numpy.concatenate(
-        [numpy.random.normal(0, 0.01, size=50), numpy.random.normal(50, 0.01, size=50)]
-    )
-    return pyarrow.array(data)
-
-
-def data_with_nans():
-    data = numpy.random.normal(0, 0.01, size=50)
-    mask = numpy.random.randint(0, 2, size=50)
-    data[mask == 0] = numpy.NaN
-    return data
-
-
-def data_datetime(f):
-    data = [
-        datetime.datetime.now(),
-        datetime.datetime.now() - datetime.timedelta(days=1),
-        datetime.datetime.now() + datetime.timedelta(days=1),
-    ]
-    return pyarrow.array(
-        data, type=pyarrow.timestamp(f), mask=numpy.array([False, True, False])
-    )
-
-
-def data_timedelta(f):
-    data = [
-        datetime.timedelta(days=100),
-        datetime.timedelta(days=1),
-        datetime.timedelta(seconds=1),
-    ]
-    return pyarrow.array(
-        data, type=pyarrow.duration(f), mask=numpy.array([False, True, False])
-    )
-
-
-def data_binary_other():
-    return numpy.array([1, 0, 0], dtype="u4")
-
-
-def write_parquet(path, data):
-    table = pyarrow.Table.from_arrays([data], names=["a"])
-    pyarrow.parquet.write_table(table, path)
-    return path