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Posted to commits@iotdb.apache.org by ha...@apache.org on 2022/08/02 07:19:39 UTC
[iotdb] branch IOTDB-3801 created (now 2d28014154)
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haonan pushed a change to branch IOTDB-3801
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at 2d28014154 [IOTDB-3801] Update doc about python numpy tablet
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new 2d28014154 [IOTDB-3801] Update doc about python numpy tablet
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[iotdb] 01/01: [IOTDB-3801] Update doc about python numpy tablet
Posted by ha...@apache.org.
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 <hh...@outlook.com>
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(