This is an automated email from the ASF dual-hosted git repository. haonan pushed a commit to branch IOTDB-3801 in repository https://gitbox.apache.org/repos/asf/iotdb.git
commit 2d28014154fbd46b292a62597fd5945239f60972 Author: HTHou <[email protected]> AuthorDate: Tue Aug 2 15:19:07 2022 +0800 [IOTDB-3801] Update doc about python numpy tablet --- client-py/README.md | 1 + docs/UserGuide/API/Programming-Python-Native-API.md | 3 ++- docs/zh/UserGuide/API/Programming-Python-Native-API.md | 5 +++-- 3 files changed, 6 insertions(+), 3 deletions(-) diff --git a/client-py/README.md b/client-py/README.md index beef55e351..3197cc7186 100644 --- a/client-py/README.md +++ b/client-py/README.md @@ -187,6 +187,7 @@ With less memory footprint and time cost of serialization, the insert performanc (if not, the default dtypes are also ok). ```python +import numpy as np data_types_ = [ TSDataType.BOOLEAN, TSDataType.INT32, diff --git a/docs/UserGuide/API/Programming-Python-Native-API.md b/docs/UserGuide/API/Programming-Python-Native-API.md index 0f962ebb44..971c3ba9c4 100644 --- a/docs/UserGuide/API/Programming-Python-Native-API.md +++ b/docs/UserGuide/API/Programming-Python-Native-API.md @@ -165,6 +165,7 @@ With less memory footprint and time cost of serialization, the insert performanc (if not, the default dtypes are also ok). ```python +import numpy as np data_types_ = [ TSDataType.BOOLEAN, TSDataType.INT32, @@ -179,7 +180,7 @@ np_values_ = [ np.array([11, 11111, 1, 0], TSDataType.INT64.np_dtype()), np.array([1.1, 1.25, 188.1, 0], TSDataType.FLOAT.np_dtype()), np.array([10011.1, 101.0, 688.25, 6.25], TSDataType.DOUBLE.np_dtype()), - np.array(["test01", "test02", "test03", "test04"], TSDataType.TEXT.np_dtype()), + np.array(["test01", "test02", "test03", "test04"]), ] np_timestamps_ = np.array([1, 2, 3, 4], TSDataType.INT64.np_dtype()) np_tablet_ = NumpyTablet( diff --git a/docs/zh/UserGuide/API/Programming-Python-Native-API.md b/docs/zh/UserGuide/API/Programming-Python-Native-API.md index 9f385081bd..a7d89f047f 100644 --- a/docs/zh/UserGuide/API/Programming-Python-Native-API.md +++ b/docs/zh/UserGuide/API/Programming-Python-Native-API.md @@ -161,9 +161,10 @@ session.insert_tablet(tablet_) **注意** 1. Tablet 中的每一列时间戳和值记录为一个 ndarray -2. ndarray 推荐使用如下面例子中的特定的 dtype，如果不使用，不会影响正确性。 +2. ndarray 推荐使用如下面例子中特定的 numpy.dtype，如果指定也不会影响正确性。 ```python +import numpy as np data_types_ = [ TSDataType.BOOLEAN, TSDataType.INT32, @@ -178,7 +179,7 @@ np_values_ = [ np.array([11, 11111, 1, 0], TSDataType.INT64.np_dtype()), np.array([1.1, 1.25, 188.1, 0], TSDataType.FLOAT.np_dtype()), np.array([10011.1, 101.0, 688.25, 6.25], TSDataType.DOUBLE.np_dtype()), - np.array(["test01", "test02", "test03", "test04"], TSDataType.TEXT.np_dtype()), + np.array(["test01", "test02", "test03", "test04"]), ] np_timestamps_ = np.array([1, 2, 3, 4], TSDataType.INT64.np_dtype()) np_tablet_ = NumpyTablet(
