docs: python connector pandas supplyment (#15604)

docs/en/14-reference/03-connector/python.mdx

@@ -293,6 +293,21 @@ For a more detailed description of the `sql()` method, please refer to [RestClie
 {{#include docs/examples/python/conn_rest_pandas.py}}
 ```
 
+</TabItem>
+<Tabs default="native+sqlalchemy">
+<TabItem value="native" label="原生连接 + SQLAlchemy">
+
+```python
+{{#include docs/examples/python/conn_native_sqlalchemy.py}}
+```
+
+</TabItem>
+<TabItem value="rest+sqlalchemy" label="REST 连接 + SQLAlchemy">
+
+```python
+{{#include docs/examples/python/conn_rest_sqlachemy.py}}
+```
+
 </TabItem>
 </Tabs>
 

docs/examples/python/conn_native_pandas.py

+import taos
 import pandas
-from sqlalchemy import create_engine
 
-engine = create_engine("taos://root:taosdata@localhost:6030/power")
-df = pandas.read_sql("SELECT * FROM meters", engine)
+conn = taos.connect()
+df: pandas.DataFrame = pandas.read_sql("SELECT * FROM meters", conn)
 
 # print index
 print(df.index)

docs/examples/python/conn_native_sqlalchemy.py

+import pandas
+from sqlalchemy import create_engine
+
+engine = create_engine("taos://root:taosdata@localhost:6030/power")
+df: pandas.DataFrame = pandas.read_sql("SELECT * FROM power.meters", engine)
+
+# print index
+print(df.index)
+# print data type  of element in ts column
+print(type(df.ts[0]))
+print(df.head(3))
+
+# output:
+# RangeIndex(start=0, stop=8, step=1)
+# <class 'pandas._libs.tslibs.timestamps.Timestamp'>
+#                        ts  current  ...               location  groupid
+# 0 2018-10-03 14:38:05.500     11.8  ...  california.losangeles        2
+# 1 2018-10-03 14:38:16.600     13.4  ...  california.losangeles        2
+# 2 2018-10-03 14:38:05.000     10.8  ...  california.losangeles        3

docs/examples/python/conn_rest_pandas.py

+import taosrest
 import pandas
-from sqlalchemy import create_engine
 
-engine = create_engine("taosrest://root:taosdata@localhost:6041")
-df: pandas.DataFrame = pandas.read_sql("SELECT * FROM power.meters", engine)
+conn = taosrest.connect()
+df: pandas.DataFrame = pandas.read_sql("SELECT * FROM power.meters", conn)
 
 # print index
 print(df.index)

docs/examples/python/conn_rest_sqlalchemy.py

+import pandas
+from sqlalchemy import create_engine
+
+engine = create_engine("taosrest://root:taosdata@localhost:6041")
+df: pandas.DataFrame = pandas.read_sql("SELECT * FROM power.meters", engine)
+
+# print index
+print(df.index)
+# print data type  of element in ts column
+print(type(df.ts[0]))
+print(df.head(3))
+
+# output:
+# RangeIndex(start=0, stop=8, step=1)
+# <class 'pandas._libs.tslibs.timestamps.Timestamp'>
+#                                 ts  current  ...               location  groupid
+# 0 2018-10-03 06:38:05.500000+00:00     11.8  ...  california.losangeles        2
+# 1 2018-10-03 06:38:16.600000+00:00     13.4  ...  california.losangeles        2
+# 2        2018-10-03 06:38:05+00:00     10.8  ...  california.losangeles        3

docs/zh/14-reference/03-connector/python.mdx

@@ -295,6 +295,20 @@ TaosCursor 类使用原生连接进行写入、查询操作。在客户端多线
 {{#include docs/examples/python/conn_rest_pandas.py}}
 ```
 
+</TabItem>
+<TabItem value="native+sqlalchemy" label="原生连接 + SQLAlchemy">
+
+```python
+{{#include docs/examples/python/conn_native_sqlalchemy.py}}
+```
+
+</TabItem>
+<TabItem value="rest+sqlalchemy" label="REST 连接 + SQLAlchemy">
+
+```python
+{{#include docs/examples/python/conn_rest_sqlachemy.py}}
+```
+
 </TabItem>
 </Tabs>