Return-Path: X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by cust-asf2.ponee.io (Postfix) with ESMTP id 86806200D2E for ; Mon, 16 Oct 2017 16:19:43 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id 84E381609EF; Mon, 16 Oct 2017 14:19:43 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id 3B8CC160BEA for ; Mon, 16 Oct 2017 16:19:41 +0200 (CEST) Received: (qmail 89635 invoked by uid 500); 16 Oct 2017 14:19:40 -0000 Mailing-List: contact commits-help@arrow.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@arrow.apache.org Delivered-To: mailing list commits@arrow.apache.org Received: (qmail 89581 invoked by uid 99); 16 Oct 2017 14:19:40 -0000 Received: from git1-us-west.apache.org (HELO git1-us-west.apache.org) (140.211.11.23) by apache.org (qpsmtpd/0.29) with ESMTP; Mon, 16 Oct 2017 14:19:40 +0000 Received: by git1-us-west.apache.org (ASF Mail Server at git1-us-west.apache.org, from userid 33) id C4D87DFCA1; Mon, 16 Oct 2017 14:19:39 +0000 (UTC) Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 8bit From: wesm@apache.org To: commits@arrow.apache.org Date: Mon, 16 Oct 2017 14:19:42 -0000 Message-Id: <745594c1c2b644f891bd30d15312e48d@git.apache.org> In-Reply-To: <7c9f1061d5dc49e4b51356bc4d9a83d8@git.apache.org> References: <7c9f1061d5dc49e4b51356bc4d9a83d8@git.apache.org> X-Mailer: ASF-Git Admin Mailer Subject: [04/51] [partial] arrow-site git commit: Add Ray serialization blog post, update API docs archived-at: Mon, 16 Oct 2017 14:19:43 -0000 http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7a2e5ece/docs/python/generated/pyarrow.lib.Array.html ---------------------------------------------------------------------- diff --git a/docs/python/generated/pyarrow.lib.Array.html b/docs/python/generated/pyarrow.lib.Array.html index 1ebc1b2..aad0e69 100644 --- a/docs/python/generated/pyarrow.lib.Array.html +++ b/docs/python/generated/pyarrow.lib.Array.html @@ -155,14 +155,14 @@ -cast(self, DataType target_type[, safe]) +cast(self, target_type[, safe]) Cast array values to another data type equals(self, Array other) -from_pandas(obj[, mask, timestamps_to_ms]) -Convert pandas.Series to an Arrow Array. +from_pandas(obj[, mask, type]) +Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls. isnull(self) @@ -183,7 +183,7 @@
-cast(self, DataType target_type, safe=True)
+cast(self, target_type, safe=True)

Cast array values to another data type

@@ -209,24 +209,21 @@
-static from_pandas(obj, mask=None, DataType type=None, timestamps_to_ms=False, MemoryPool memory_pool=None)
-

Convert pandas.Series to an Arrow Array.

+static from_pandas(obj, mask=None, type=None, MemoryPool memory_pool=None) +

Convert pandas.Series to an Arrow Array, using pandas’s semantics about +what values indicate nulls. See pyarrow.array for more general +conversion from arrays or sequences to Arrow arrays

@@ -236,34 +233,13 @@ only supports milliseconds.

Localized timestamps will currently be returned as UTC (pandas’s native representation). Timezone-naive data will be implicitly interpreted as UTC.

-

Examples

-
>>> import pandas as pd
->>> import pyarrow as pa
->>> pa.Array.from_pandas(pd.Series([1, 2]))
-<pyarrow.array.Int64Array object at 0x7f674e4c0e10>
-[
-  1,
-  2
-]
-
-
-
>>> import numpy as np
->>> pa.Array.from_pandas(pd.Series([1, 2]), np.array([0, 1],
-... dtype=bool))
-<pyarrow.array.Int64Array object at 0x7f9019e11208>
-[
-  1,
-  NA
-]
-
-
Parameters:
    -
  • series (pandas.Series or numpy.ndarray) –
    • -
  • mask (pandas.Series or numpy.ndarray, optional) – boolean mask if the object is null (True) or valid (False)
    • -
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to
    • -
  • timestamps_to_ms (bool, optional) –

    Convert datetime columns to ms resolution. This is needed for -compatibility with other functionality like Parquet I/O which -only supports milliseconds.

    -
    -

    Deprecated since version 0.7.0.

    -
    -
    • -
  • memory_pool (MemoryPool, optional) – Specific memory pool to use to allocate the resulting Arrow array.
    • +
  • sequence (ndarray, Inded Series) –
    • +
  • mask (array (boolean), optional) – Indicate which values are null (True) or not null (False)
    • +
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to, otherwise will be inferred +from the data
    • +
  • memory_pool (pyarrow.MemoryPool, optional) – If not passed, will allocate memory from the currently-set default +memory pool
@@ -365,7 +341,7 @@ not validate

© Copyright 2016-2017 Apache Software Foundation.
- Created using Sphinx 1.6.3.
+ Created using Sphinx 1.6.4.

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7a2e5ece/docs/python/generated/pyarrow.lib.BinaryArray.html ---------------------------------------------------------------------- diff --git a/docs/python/generated/pyarrow.lib.BinaryArray.html b/docs/python/generated/pyarrow.lib.BinaryArray.html index 8be3ef1..b8fe37b 100644 --- a/docs/python/generated/pyarrow.lib.BinaryArray.html +++ b/docs/python/generated/pyarrow.lib.BinaryArray.html @@ -155,14 +155,14 @@ - + - - + + @@ -183,7 +183,7 @@
Returns:
  • array (pyarrow.Array or pyarrow.ChunkedArray (if object data)
    • -
  • overflowed binary storage)
    • +
  • overflows binary buffer)
cast(self, DataType target_type[, safe])
cast(self, target_type[, safe]) Cast array values to another data type
equals(self, Array other)
from_pandas(obj[, mask, timestamps_to_ms])Convert pandas.Series to an Arrow Array.
from_pandas(obj[, mask, type])Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.
isnull(self)
-cast(self, DataType target_type, safe=True)
+cast(self, target_type, safe=True)

Cast array values to another data type

@@ -209,24 +209,21 @@
-from_pandas(obj, mask=None, DataType type=None, timestamps_to_ms=False, MemoryPool memory_pool=None)
-

Convert pandas.Series to an Arrow Array.

+from_pandas(obj, mask=None, type=None, MemoryPool memory_pool=None) +

Convert pandas.Series to an Arrow Array, using pandas’s semantics about +what values indicate nulls. See pyarrow.array for more general +conversion from arrays or sequences to Arrow arrays

@@ -236,34 +233,13 @@ only supports milliseconds.

Localized timestamps will currently be returned as UTC (pandas’s native representation). Timezone-naive data will be implicitly interpreted as UTC.

-

Examples

-
>>> import pandas as pd
->>> import pyarrow as pa
->>> pa.Array.from_pandas(pd.Series([1, 2]))
-<pyarrow.array.Int64Array object at 0x7f674e4c0e10>
-[
-  1,
-  2
-]
-
-
-
>>> import numpy as np
->>> pa.Array.from_pandas(pd.Series([1, 2]), np.array([0, 1],
-... dtype=bool))
-<pyarrow.array.Int64Array object at 0x7f9019e11208>
-[
-  1,
-  NA
-]
-
-
Parameters:
    -
  • series (pandas.Series or numpy.ndarray) –
    • -
  • mask (pandas.Series or numpy.ndarray, optional) – boolean mask if the object is null (True) or valid (False)
    • -
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to
    • -
  • timestamps_to_ms (bool, optional) –

    Convert datetime columns to ms resolution. This is needed for -compatibility with other functionality like Parquet I/O which -only supports milliseconds.

    -
    -

    Deprecated since version 0.7.0.

    -
    -
    • -
  • memory_pool (MemoryPool, optional) – Specific memory pool to use to allocate the resulting Arrow array.
    • +
  • sequence (ndarray, Inded Series) –
    • +
  • mask (array (boolean), optional) – Indicate which values are null (True) or not null (False)
    • +
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to, otherwise will be inferred +from the data
    • +
  • memory_pool (pyarrow.MemoryPool, optional) – If not passed, will allocate memory from the currently-set default +memory pool
@@ -365,7 +341,7 @@ not validate

© Copyright 2016-2017 Apache Software Foundation.
- Created using Sphinx 1.6.3.
+ Created using Sphinx 1.6.4.

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7a2e5ece/docs/python/generated/pyarrow.lib.BooleanArray.html ---------------------------------------------------------------------- diff --git a/docs/python/generated/pyarrow.lib.BooleanArray.html b/docs/python/generated/pyarrow.lib.BooleanArray.html index 2dd3acd..2778141 100644 --- a/docs/python/generated/pyarrow.lib.BooleanArray.html +++ b/docs/python/generated/pyarrow.lib.BooleanArray.html @@ -155,14 +155,14 @@ - + - - + + @@ -183,7 +183,7 @@
Returns:
  • array (pyarrow.Array or pyarrow.ChunkedArray (if object data)
    • -
  • overflowed binary storage)
    • +
  • overflows binary buffer)
cast(self, DataType target_type[, safe])
cast(self, target_type[, safe]) Cast array values to another data type
equals(self, Array other)
from_pandas(obj[, mask, timestamps_to_ms])Convert pandas.Series to an Arrow Array.
from_pandas(obj[, mask, type])Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.
isnull(self)
-cast(self, DataType target_type, safe=True)
+cast(self, target_type, safe=True)

Cast array values to another data type

@@ -209,24 +209,21 @@
-from_pandas(obj, mask=None, DataType type=None, timestamps_to_ms=False, MemoryPool memory_pool=None)
-

Convert pandas.Series to an Arrow Array.

+from_pandas(obj, mask=None, type=None, MemoryPool memory_pool=None) +

Convert pandas.Series to an Arrow Array, using pandas’s semantics about +what values indicate nulls. See pyarrow.array for more general +conversion from arrays or sequences to Arrow arrays

@@ -236,34 +233,13 @@ only supports milliseconds.

Localized timestamps will currently be returned as UTC (pandas’s native representation). Timezone-naive data will be implicitly interpreted as UTC.

-

Examples

-
>>> import pandas as pd
->>> import pyarrow as pa
->>> pa.Array.from_pandas(pd.Series([1, 2]))
-<pyarrow.array.Int64Array object at 0x7f674e4c0e10>
-[
-  1,
-  2
-]
-
-
-
>>> import numpy as np
->>> pa.Array.from_pandas(pd.Series([1, 2]), np.array([0, 1],
-... dtype=bool))
-<pyarrow.array.Int64Array object at 0x7f9019e11208>
-[
-  1,
-  NA
-]
-
-
Parameters:
    -
  • series (pandas.Series or numpy.ndarray) –
    • -
  • mask (pandas.Series or numpy.ndarray, optional) – boolean mask if the object is null (True) or valid (False)
    • -
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to
    • -
  • timestamps_to_ms (bool, optional) –

    Convert datetime columns to ms resolution. This is needed for -compatibility with other functionality like Parquet I/O which -only supports milliseconds.

    -
    -

    Deprecated since version 0.7.0.

    -
    -
    • -
  • memory_pool (MemoryPool, optional) – Specific memory pool to use to allocate the resulting Arrow array.
    • +
  • sequence (ndarray, Inded Series) –
    • +
  • mask (array (boolean), optional) – Indicate which values are null (True) or not null (False)
    • +
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to, otherwise will be inferred +from the data
    • +
  • memory_pool (pyarrow.MemoryPool, optional) – If not passed, will allocate memory from the currently-set default +memory pool
@@ -365,7 +341,7 @@ not validate

© Copyright 2016-2017 Apache Software Foundation.
- Created using Sphinx 1.6.3.
+ Created using Sphinx 1.6.4.

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7a2e5ece/docs/python/generated/pyarrow.lib.DataType.html ---------------------------------------------------------------------- diff --git a/docs/python/generated/pyarrow.lib.DataType.html b/docs/python/generated/pyarrow.lib.DataType.html index 3db5f8f..4271a6a 100644 --- a/docs/python/generated/pyarrow.lib.DataType.html +++ b/docs/python/generated/pyarrow.lib.DataType.html @@ -189,7 +189,7 @@

© Copyright 2016-2017 Apache Software Foundation.
- Created using Sphinx 1.6.3.
+ Created using Sphinx 1.6.4.

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7a2e5ece/docs/python/generated/pyarrow.lib.Date32Array.html ---------------------------------------------------------------------- diff --git a/docs/python/generated/pyarrow.lib.Date32Array.html b/docs/python/generated/pyarrow.lib.Date32Array.html index aa018fd..d7396bc 100644 --- a/docs/python/generated/pyarrow.lib.Date32Array.html +++ b/docs/python/generated/pyarrow.lib.Date32Array.html @@ -155,14 +155,14 @@ - + - - + + @@ -183,7 +183,7 @@
Returns:
  • array (pyarrow.Array or pyarrow.ChunkedArray (if object data)
    • -
  • overflowed binary storage)
    • +
  • overflows binary buffer)
cast(self, DataType target_type[, safe])
cast(self, target_type[, safe]) Cast array values to another data type
equals(self, Array other)
from_pandas(obj[, mask, timestamps_to_ms])Convert pandas.Series to an Arrow Array.
from_pandas(obj[, mask, type])Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.
isnull(self)
-cast(self, DataType target_type, safe=True)
+cast(self, target_type, safe=True)

Cast array values to another data type

@@ -209,24 +209,21 @@
-from_pandas(obj, mask=None, DataType type=None, timestamps_to_ms=False, MemoryPool memory_pool=None)
-

Convert pandas.Series to an Arrow Array.

+from_pandas(obj, mask=None, type=None, MemoryPool memory_pool=None) +

Convert pandas.Series to an Arrow Array, using pandas’s semantics about +what values indicate nulls. See pyarrow.array for more general +conversion from arrays or sequences to Arrow arrays

@@ -236,34 +233,13 @@ only supports milliseconds.

Localized timestamps will currently be returned as UTC (pandas’s native representation). Timezone-naive data will be implicitly interpreted as UTC.

-

Examples

-
>>> import pandas as pd
->>> import pyarrow as pa
->>> pa.Array.from_pandas(pd.Series([1, 2]))
-<pyarrow.array.Int64Array object at 0x7f674e4c0e10>
-[
-  1,
-  2
-]
-
-
-
>>> import numpy as np
->>> pa.Array.from_pandas(pd.Series([1, 2]), np.array([0, 1],
-... dtype=bool))
-<pyarrow.array.Int64Array object at 0x7f9019e11208>
-[
-  1,
-  NA
-]
-
-
Parameters:
    -
  • series (pandas.Series or numpy.ndarray) –
    • -
  • mask (pandas.Series or numpy.ndarray, optional) – boolean mask if the object is null (True) or valid (False)
    • -
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to
    • -
  • timestamps_to_ms (bool, optional) –

    Convert datetime columns to ms resolution. This is needed for -compatibility with other functionality like Parquet I/O which -only supports milliseconds.

    -
    -

    Deprecated since version 0.7.0.

    -
    -
    • -
  • memory_pool (MemoryPool, optional) – Specific memory pool to use to allocate the resulting Arrow array.
    • +
  • sequence (ndarray, Inded Series) –
    • +
  • mask (array (boolean), optional) – Indicate which values are null (True) or not null (False)
    • +
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to, otherwise will be inferred +from the data
    • +
  • memory_pool (pyarrow.MemoryPool, optional) – If not passed, will allocate memory from the currently-set default +memory pool
@@ -365,7 +341,7 @@ not validate

© Copyright 2016-2017 Apache Software Foundation.
- Created using Sphinx 1.6.3.
+ Created using Sphinx 1.6.4.

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7a2e5ece/docs/python/generated/pyarrow.lib.Date64Array.html ---------------------------------------------------------------------- diff --git a/docs/python/generated/pyarrow.lib.Date64Array.html b/docs/python/generated/pyarrow.lib.Date64Array.html index 5d6dac1..72a2c30 100644 --- a/docs/python/generated/pyarrow.lib.Date64Array.html +++ b/docs/python/generated/pyarrow.lib.Date64Array.html @@ -155,14 +155,14 @@ - + - - + + @@ -183,7 +183,7 @@
Returns:
  • array (pyarrow.Array or pyarrow.ChunkedArray (if object data)
    • -
  • overflowed binary storage)
    • +
  • overflows binary buffer)
cast(self, DataType target_type[, safe])
cast(self, target_type[, safe]) Cast array values to another data type
equals(self, Array other)
from_pandas(obj[, mask, timestamps_to_ms])Convert pandas.Series to an Arrow Array.
from_pandas(obj[, mask, type])Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.
isnull(self)
-cast(self, DataType target_type, safe=True)
+cast(self, target_type, safe=True)

Cast array values to another data type

@@ -209,24 +209,21 @@
-from_pandas(obj, mask=None, DataType type=None, timestamps_to_ms=False, MemoryPool memory_pool=None)
-

Convert pandas.Series to an Arrow Array.

+from_pandas(obj, mask=None, type=None, MemoryPool memory_pool=None) +

Convert pandas.Series to an Arrow Array, using pandas’s semantics about +what values indicate nulls. See pyarrow.array for more general +conversion from arrays or sequences to Arrow arrays

@@ -236,34 +233,13 @@ only supports milliseconds.

Localized timestamps will currently be returned as UTC (pandas’s native representation). Timezone-naive data will be implicitly interpreted as UTC.

-

Examples

-
>>> import pandas as pd
->>> import pyarrow as pa
->>> pa.Array.from_pandas(pd.Series([1, 2]))
-<pyarrow.array.Int64Array object at 0x7f674e4c0e10>
-[
-  1,
-  2
-]
-
-
-
>>> import numpy as np
->>> pa.Array.from_pandas(pd.Series([1, 2]), np.array([0, 1],
-... dtype=bool))
-<pyarrow.array.Int64Array object at 0x7f9019e11208>
-[
-  1,
-  NA
-]
-
-
Parameters:
    -
  • series (pandas.Series or numpy.ndarray) –
    • -
  • mask (pandas.Series or numpy.ndarray, optional) – boolean mask if the object is null (True) or valid (False)
    • -
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to
    • -
  • timestamps_to_ms (bool, optional) –

    Convert datetime columns to ms resolution. This is needed for -compatibility with other functionality like Parquet I/O which -only supports milliseconds.

    -
    -

    Deprecated since version 0.7.0.

    -
    -
    • -
  • memory_pool (MemoryPool, optional) – Specific memory pool to use to allocate the resulting Arrow array.
    • +
  • sequence (ndarray, Inded Series) –
    • +
  • mask (array (boolean), optional) – Indicate which values are null (True) or not null (False)
    • +
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to, otherwise will be inferred +from the data
    • +
  • memory_pool (pyarrow.MemoryPool, optional) – If not passed, will allocate memory from the currently-set default +memory pool
@@ -365,7 +341,7 @@ not validate

© Copyright 2016-2017 Apache Software Foundation.
- Created using Sphinx 1.6.3.
+ Created using Sphinx 1.6.4.

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7a2e5ece/docs/python/generated/pyarrow.lib.DecimalArray.html ---------------------------------------------------------------------- diff --git a/docs/python/generated/pyarrow.lib.DecimalArray.html b/docs/python/generated/pyarrow.lib.DecimalArray.html index be7d848..2dfef2f 100644 --- a/docs/python/generated/pyarrow.lib.DecimalArray.html +++ b/docs/python/generated/pyarrow.lib.DecimalArray.html @@ -155,14 +155,14 @@ - + - - + + @@ -183,7 +183,7 @@
Returns:
  • array (pyarrow.Array or pyarrow.ChunkedArray (if object data)
    • -
  • overflowed binary storage)
    • +
  • overflows binary buffer)
cast(self, DataType target_type[, safe])
cast(self, target_type[, safe]) Cast array values to another data type
equals(self, Array other)
from_pandas(obj[, mask, timestamps_to_ms])Convert pandas.Series to an Arrow Array.
from_pandas(obj[, mask, type])Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.
isnull(self)
-cast(self, DataType target_type, safe=True)
+cast(self, target_type, safe=True)

Cast array values to another data type

@@ -209,24 +209,21 @@
-from_pandas(obj, mask=None, DataType type=None, timestamps_to_ms=False, MemoryPool memory_pool=None)
-

Convert pandas.Series to an Arrow Array.

+from_pandas(obj, mask=None, type=None, MemoryPool memory_pool=None) +

Convert pandas.Series to an Arrow Array, using pandas’s semantics about +what values indicate nulls. See pyarrow.array for more general +conversion from arrays or sequences to Arrow arrays

@@ -236,34 +233,13 @@ only supports milliseconds.

Localized timestamps will currently be returned as UTC (pandas’s native representation). Timezone-naive data will be implicitly interpreted as UTC.

-

Examples

-
>>> import pandas as pd
->>> import pyarrow as pa
->>> pa.Array.from_pandas(pd.Series([1, 2]))
-<pyarrow.array.Int64Array object at 0x7f674e4c0e10>
-[
-  1,
-  2
-]
-
-
-
>>> import numpy as np
->>> pa.Array.from_pandas(pd.Series([1, 2]), np.array([0, 1],
-... dtype=bool))
-<pyarrow.array.Int64Array object at 0x7f9019e11208>
-[
-  1,
-  NA
-]
-
-
Parameters:
    -
  • series (pandas.Series or numpy.ndarray) –
    • -
  • mask (pandas.Series or numpy.ndarray, optional) – boolean mask if the object is null (True) or valid (False)
    • -
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to
    • -
  • timestamps_to_ms (bool, optional) –

    Convert datetime columns to ms resolution. This is needed for -compatibility with other functionality like Parquet I/O which -only supports milliseconds.

    -
    -

    Deprecated since version 0.7.0.

    -
    -
    • -
  • memory_pool (MemoryPool, optional) – Specific memory pool to use to allocate the resulting Arrow array.
    • +
  • sequence (ndarray, Inded Series) –
    • +
  • mask (array (boolean), optional) – Indicate which values are null (True) or not null (False)
    • +
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to, otherwise will be inferred +from the data
    • +
  • memory_pool (pyarrow.MemoryPool, optional) – If not passed, will allocate memory from the currently-set default +memory pool
@@ -365,7 +341,7 @@ not validate

© Copyright 2016-2017 Apache Software Foundation.
- Created using Sphinx 1.6.3.
+ Created using Sphinx 1.6.4.

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7a2e5ece/docs/python/generated/pyarrow.lib.DictionaryArray.html ---------------------------------------------------------------------- diff --git a/docs/python/generated/pyarrow.lib.DictionaryArray.html b/docs/python/generated/pyarrow.lib.DictionaryArray.html index 1c94cc3..d8475b7 100644 --- a/docs/python/generated/pyarrow.lib.DictionaryArray.html +++ b/docs/python/generated/pyarrow.lib.DictionaryArray.html @@ -155,7 +155,7 @@ - + @@ -164,8 +164,8 @@ - - + + @@ -186,7 +186,7 @@
Returns:
  • array (pyarrow.Array or pyarrow.ChunkedArray (if object data)
    • -
  • overflowed binary storage)
    • +
  • overflows binary buffer)
cast(self, DataType target_type[, safe])
cast(self, target_type[, safe]) Cast array values to another data type
equals(self, Array other)
from_arrays(indices, dictionary[, mask, ordered]) Construct Arrow DictionaryArray from array of indices (must be
from_pandas(obj[, mask, timestamps_to_ms])Convert pandas.Series to an Arrow Array.
from_pandas(obj[, mask, type])Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.
isnull(self)
-cast(self, DataType target_type, safe=True)
+cast(self, target_type, safe=True)

Cast array values to another data type

@@ -241,24 +241,21 @@ non-negative integers) and corresponding array of dictionary values

-from_pandas(obj, mask=None, DataType type=None, timestamps_to_ms=False, MemoryPool memory_pool=None)
-

Convert pandas.Series to an Arrow Array.

+from_pandas(obj, mask=None, type=None, MemoryPool memory_pool=None) +

Convert pandas.Series to an Arrow Array, using pandas’s semantics about +what values indicate nulls. See pyarrow.array for more general +conversion from arrays or sequences to Arrow arrays

@@ -268,34 +265,13 @@ only supports milliseconds.

Localized timestamps will currently be returned as UTC (pandas’s native representation). Timezone-naive data will be implicitly interpreted as UTC.

-

Examples

-
>>> import pandas as pd
->>> import pyarrow as pa
->>> pa.Array.from_pandas(pd.Series([1, 2]))
-<pyarrow.array.Int64Array object at 0x7f674e4c0e10>
-[
-  1,
-  2
-]
-
-
-
>>> import numpy as np
->>> pa.Array.from_pandas(pd.Series([1, 2]), np.array([0, 1],
-... dtype=bool))
-<pyarrow.array.Int64Array object at 0x7f9019e11208>
-[
-  1,
-  NA
-]
-
-
Parameters:
    -
  • series (pandas.Series or numpy.ndarray) –
    • -
  • mask (pandas.Series or numpy.ndarray, optional) – boolean mask if the object is null (True) or valid (False)
    • -
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to
    • -
  • timestamps_to_ms (bool, optional) –

    Convert datetime columns to ms resolution. This is needed for -compatibility with other functionality like Parquet I/O which -only supports milliseconds.

    -
    -

    Deprecated since version 0.7.0.

    -
    -
    • -
  • memory_pool (MemoryPool, optional) – Specific memory pool to use to allocate the resulting Arrow array.
    • +
  • sequence (ndarray, Inded Series) –
    • +
  • mask (array (boolean), optional) – Indicate which values are null (True) or not null (False)
    • +
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to, otherwise will be inferred +from the data
    • +
  • memory_pool (pyarrow.MemoryPool, optional) – If not passed, will allocate memory from the currently-set default +memory pool
@@ -402,7 +378,7 @@ not validate

© Copyright 2016-2017 Apache Software Foundation.
- Created using Sphinx 1.6.3.
+ Created using Sphinx 1.6.4.

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7a2e5ece/docs/python/generated/pyarrow.lib.Field.html ---------------------------------------------------------------------- diff --git a/docs/python/generated/pyarrow.lib.Field.html b/docs/python/generated/pyarrow.lib.Field.html index dabcc52..bf5d563 100644 --- a/docs/python/generated/pyarrow.lib.Field.html +++ b/docs/python/generated/pyarrow.lib.Field.html @@ -243,7 +243,7 @@ metadata

© Copyright 2016-2017 Apache Software Foundation.
- Created using Sphinx 1.6.3.
+ Created using Sphinx 1.6.4.

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7a2e5ece/docs/python/generated/pyarrow.lib.FixedSizeBinaryArray.html ---------------------------------------------------------------------- diff --git a/docs/python/generated/pyarrow.lib.FixedSizeBinaryArray.html b/docs/python/generated/pyarrow.lib.FixedSizeBinaryArray.html index 7d35731..d50f1b8 100644 --- a/docs/python/generated/pyarrow.lib.FixedSizeBinaryArray.html +++ b/docs/python/generated/pyarrow.lib.FixedSizeBinaryArray.html @@ -155,14 +155,14 @@ - + - - + + @@ -183,7 +183,7 @@
Returns:
  • array (pyarrow.Array or pyarrow.ChunkedArray (if object data)
    • -
  • overflowed binary storage)
    • +
  • overflows binary buffer)
cast(self, DataType target_type[, safe])
cast(self, target_type[, safe]) Cast array values to another data type
equals(self, Array other)
from_pandas(obj[, mask, timestamps_to_ms])Convert pandas.Series to an Arrow Array.
from_pandas(obj[, mask, type])Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.
isnull(self)
-cast(self, DataType target_type, safe=True)
+cast(self, target_type, safe=True)

Cast array values to another data type

@@ -209,24 +209,21 @@
-from_pandas(obj, mask=None, DataType type=None, timestamps_to_ms=False, MemoryPool memory_pool=None)
-

Convert pandas.Series to an Arrow Array.

+from_pandas(obj, mask=None, type=None, MemoryPool memory_pool=None) +

Convert pandas.Series to an Arrow Array, using pandas’s semantics about +what values indicate nulls. See pyarrow.array for more general +conversion from arrays or sequences to Arrow arrays

@@ -236,34 +233,13 @@ only supports milliseconds.

Localized timestamps will currently be returned as UTC (pandas’s native representation). Timezone-naive data will be implicitly interpreted as UTC.

-

Examples

-
>>> import pandas as pd
->>> import pyarrow as pa
->>> pa.Array.from_pandas(pd.Series([1, 2]))
-<pyarrow.array.Int64Array object at 0x7f674e4c0e10>
-[
-  1,
-  2
-]
-
-
-
>>> import numpy as np
->>> pa.Array.from_pandas(pd.Series([1, 2]), np.array([0, 1],
-... dtype=bool))
-<pyarrow.array.Int64Array object at 0x7f9019e11208>
-[
-  1,
-  NA
-]
-
-
Parameters:
    -
  • series (pandas.Series or numpy.ndarray) –
    • -
  • mask (pandas.Series or numpy.ndarray, optional) – boolean mask if the object is null (True) or valid (False)
    • -
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to
    • -
  • timestamps_to_ms (bool, optional) –

    Convert datetime columns to ms resolution. This is needed for -compatibility with other functionality like Parquet I/O which -only supports milliseconds.

    -
    -

    Deprecated since version 0.7.0.

    -
    -
    • -
  • memory_pool (MemoryPool, optional) – Specific memory pool to use to allocate the resulting Arrow array.
    • +
  • sequence (ndarray, Inded Series) –
    • +
  • mask (array (boolean), optional) – Indicate which values are null (True) or not null (False)
    • +
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to, otherwise will be inferred +from the data
    • +
  • memory_pool (pyarrow.MemoryPool, optional) – If not passed, will allocate memory from the currently-set default +memory pool
@@ -365,7 +341,7 @@ not validate

© Copyright 2016-2017 Apache Software Foundation.
- Created using Sphinx 1.6.3.
+ Created using Sphinx 1.6.4.

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7a2e5ece/docs/python/generated/pyarrow.lib.FloatingPointArray.html ---------------------------------------------------------------------- diff --git a/docs/python/generated/pyarrow.lib.FloatingPointArray.html b/docs/python/generated/pyarrow.lib.FloatingPointArray.html index b587348..2d824d7 100644 --- a/docs/python/generated/pyarrow.lib.FloatingPointArray.html +++ b/docs/python/generated/pyarrow.lib.FloatingPointArray.html @@ -155,14 +155,14 @@ - + - - + + @@ -183,7 +183,7 @@
Returns:
  • array (pyarrow.Array or pyarrow.ChunkedArray (if object data)
    • -
  • overflowed binary storage)
    • +
  • overflows binary buffer)
cast(self, DataType target_type[, safe])
cast(self, target_type[, safe]) Cast array values to another data type
equals(self, Array other)
from_pandas(obj[, mask, timestamps_to_ms])Convert pandas.Series to an Arrow Array.
from_pandas(obj[, mask, type])Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.
isnull(self)
-cast(self, DataType target_type, safe=True)
+cast(self, target_type, safe=True)

Cast array values to another data type

@@ -209,24 +209,21 @@
-from_pandas(obj, mask=None, DataType type=None, timestamps_to_ms=False, MemoryPool memory_pool=None)
-

Convert pandas.Series to an Arrow Array.

+from_pandas(obj, mask=None, type=None, MemoryPool memory_pool=None) +

Convert pandas.Series to an Arrow Array, using pandas’s semantics about +what values indicate nulls. See pyarrow.array for more general +conversion from arrays or sequences to Arrow arrays

@@ -236,34 +233,13 @@ only supports milliseconds.

Localized timestamps will currently be returned as UTC (pandas’s native representation). Timezone-naive data will be implicitly interpreted as UTC.

-

Examples

-
>>> import pandas as pd
->>> import pyarrow as pa
->>> pa.Array.from_pandas(pd.Series([1, 2]))
-<pyarrow.array.Int64Array object at 0x7f674e4c0e10>
-[
-  1,
-  2
-]
-
-
-
>>> import numpy as np
->>> pa.Array.from_pandas(pd.Series([1, 2]), np.array([0, 1],
-... dtype=bool))
-<pyarrow.array.Int64Array object at 0x7f9019e11208>
-[
-  1,
-  NA
-]
-
-
Parameters:
    -
  • series (pandas.Series or numpy.ndarray) –
    • -
  • mask (pandas.Series or numpy.ndarray, optional) – boolean mask if the object is null (True) or valid (False)
    • -
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to
    • -
  • timestamps_to_ms (bool, optional) –

    Convert datetime columns to ms resolution. This is needed for -compatibility with other functionality like Parquet I/O which -only supports milliseconds.

    -
    -

    Deprecated since version 0.7.0.

    -
    -
    • -
  • memory_pool (MemoryPool, optional) – Specific memory pool to use to allocate the resulting Arrow array.
    • +
  • sequence (ndarray, Inded Series) –
    • +
  • mask (array (boolean), optional) – Indicate which values are null (True) or not null (False)
    • +
  • type (pyarrow.DataType) – Explicit type to attempt to coerce to, otherwise will be inferred +from the data
    • +
  • memory_pool (pyarrow.MemoryPool, optional) – If not passed, will allocate memory from the currently-set default +memory pool
@@ -365,7 +341,7 @@ not validate

© Copyright 2016-2017 Apache Software Foundation.
- Created using Sphinx 1.6.3.
+ Created using Sphinx 1.6.4.

Returns:
  • array (pyarrow.Array or pyarrow.ChunkedArray (if object data)
    • -
  • overflowed binary storage)
    • +
  • overflows binary buffer)