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Merge pull request #13136 from taosdata/docs/dingbo/TD-15981-3.0-2 

docs: change city names in docs-examples
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wade zhang 2022-05-28 08:44:41 +08:00 committed by GitHub
parent 82ac69db65 598faea6ee
commit 4951263821
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7 changed files with 38 additions and 39 deletions
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16
docs-examples/c/async_query_example.c
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@ -182,14 +182,14 @@ int main() {
// query callback ...
// ts current voltage phase location groupid
// numOfRow = 8
// 1538548685000 10.300000 219 0.310000 beijing.chaoyang 2
// 1538548695000 12.600000 218 0.330000 beijing.chaoyang 2
// 1538548696800 12.300000 221 0.310000 beijing.chaoyang 2
// 1538548696650 10.300000 218 0.250000 beijing.chaoyang 3
// 1538548685500 11.800000 221 0.280000 beijing.haidian 2
// 1538548696600 13.400000 223 0.290000 beijing.haidian 2
// 1538548685000 10.800000 223 0.290000 beijing.haidian 3
// 1538548686500 11.500000 221 0.350000 beijing.haidian 3
// 1538548685500 11.800000 221 0.280000 california.losangeles 2
// 1538548696600 13.400000 223 0.290000 california.losangeles 2
// 1538548685000 10.800000 223 0.290000 california.losangeles 3
// 1538548686500 11.500000 221 0.350000 california.losangeles 3
// 1538548685000 10.300000 219 0.310000 california.sanfrancisco 2
// 1538548695000 12.600000 218 0.330000 california.sanfrancisco 2
// 1538548696800 12.300000 221 0.310000 california.sanfrancisco 2
// 1538548696650 10.300000 218 0.250000 california.sanfrancisco 3
// numOfRow = 0
// no more data, close the connection.
// ANCHOR_END: demo

22
docs-examples/csharp/AsyncQueryExample.cs
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@ -224,15 +224,15 @@ namespace TDengineExample
}
//output:
//Connect to TDengine success
//8 rows async retrieved
// Connect to TDengine success
// 8 rows async retrieved
//1538548685000 | 10.3 | 219 | 0.31 | beijing.chaoyang | 2 |
//1538548695000 | 12.6 | 218 | 0.33 | beijing.chaoyang | 2 |
//1538548696800 | 12.3 | 221 | 0.31 | beijing.chaoyang | 2 |
//1538548696650 | 10.3 | 218 | 0.25 | beijing.chaoyang | 3 |
//1538548685500 | 11.8 | 221 | 0.28 | beijing.haidian | 2 |
//1538548696600 | 13.4 | 223 | 0.29 | beijing.haidian | 2 |
//1538548685000 | 10.8 | 223 | 0.29 | beijing.haidian | 3 |
//1538548686500 | 11.5 | 221 | 0.35 | beijing.haidian | 3 |
//async retrieve complete.
// 1538548685500 | 11.8 | 221 | 0.28 | california.losangeles | 2 |
// 1538548696600 | 13.4 | 223 | 0.29 | california.losangeles | 2 |
// 1538548685000 | 10.8 | 223 | 0.29 | california.losangeles | 3 |
// 1538548686500 | 11.5 | 221 | 0.35 | california.losangeles | 3 |
// 1538548685000 | 10.3 | 219 | 0.31 | california.sanfrancisco | 2 |
// 1538548695000 | 12.6 | 218 | 0.33 | california.sanfrancisco | 2 |
// 1538548696800 | 12.3 | 221 | 0.31 | california.sanfrancisco | 2 |
// 1538548696650 | 10.3 | 218 | 0.25 | california.sanfrancisco | 3 |
// async retrieve complete.

8
docs-examples/python/conn_native_pandas.py
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@ -13,7 +13,7 @@ print(df.head(3))
# output:
# RangeIndex(start=0, stop=8, step=1)
# <class 'pandas._libs.tslibs.timestamps.Timestamp'>
# ts current voltage phase location groupid
# 0 2018-10-03 14:38:05.000 10.3 219 0.31 beijing.chaoyang 2
# 1 2018-10-03 14:38:15.000 12.6 218 0.33 beijing.chaoyang 2
# 2 2018-10-03 14:38:16.800 12.3 221 0.31 beijing.chaoyang 2
# 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

8
docs-examples/python/conn_rest_pandas.py
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@ -11,9 +11,9 @@ print(type(df.ts[0]))
print(df.head(3))
# output:
# <class 'datetime.datetime'>
# RangeIndex(start=0, stop=8, step=1)
# <class 'pandas._libs.tslibs.timestamps.Timestamp'>
# ts current ... location groupid
# 0 2018-10-03 14:38:05+08:00 10.3 ... beijing.chaoyang 2
# 1 2018-10-03 14:38:15+08:00 12.6 ... beijing.chaoyang 2
# 2 2018-10-03 14:38:16.800000+08:00 12.3 ... beijing.chaoyang 2
# 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

7
docs-examples/python/connect_rest_examples.py
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@ -38,8 +38,7 @@ for row in data:
# inserted row count: 8
# queried row count: 3
# ['ts', 'current', 'voltage', 'phase', 'location', 'groupid']
# [datetime.datetime(2018, 10, 3, 14, 38, 5, tzinfo=datetime.timezone(datetime.timedelta(seconds=28800), '+08:00')), 10.3, 219, 0.31, 'beijing.chaoyang', 2]
# [datetime.datetime(2018, 10, 3, 14, 38, 15, tzinfo=datetime.timezone(datetime.timedelta(seconds=28800), '+08:00')), 12.6, 218, 0.33, 'beijing.chaoyang', 2]
# [datetime.datetime(2018, 10, 3, 14, 38, 16, 800000, tzinfo=datetime.timezone(datetime.timedelta(seconds=28800), '+08:00')), 12.3, 221, 0.31, 'beijing.chaoyang', 2]
# [datetime.datetime(2018, 10, 3, 14, 38, 5, 500000, tzinfo=datetime.timezone(datetime.timedelta(seconds=28800), '+08:00')), 11.8, 221, 0.28, 'california.losangeles', 2]
# [datetime.datetime(2018, 10, 3, 14, 38, 16, 600000, tzinfo=datetime.timezone(datetime.timedelta(seconds=28800), '+08:00')), 13.4, 223, 0.29, 'california.losangeles', 2]
# [datetime.datetime(2018, 10, 3, 14, 38, 5, tzinfo=datetime.timezone(datetime.timedelta(seconds=28800), '+08:00')), 10.8, 223, 0.29, 'california.losangeles', 3]
# ANCHOR_END: basic

10
docs-examples/python/query_example.py
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@ -12,10 +12,10 @@ def query_api_demo(conn: taos.TaosConnection):
# field count: 7
# meta of files[1]: {name: ts, type: 9, bytes: 8}
# meta of fields[1]: {name: ts, type: 9, bytes: 8}
# ======================Iterate on result=========================
# ('d1001', datetime.datetime(2018, 10, 3, 14, 38, 5), 10.300000190734863, 219, 0.3100000023841858, 'California.SanFrancisco', 2)
# ('d1001', datetime.datetime(2018, 10, 3, 14, 38, 15), 12.600000381469727, 218, 0.33000001311302185, 'California.SanFrancisco', 2)
# ('d1003', datetime.datetime(2018, 10, 3, 14, 38, 5, 500000), 11.800000190734863, 221, 0.2800000011920929, 'california.losangeles', 2)
# ('d1003', datetime.datetime(2018, 10, 3, 14, 38, 16, 600000), 13.399999618530273, 223, 0.28999999165534973, 'california.losangeles', 2)
# ANCHOR_END: iter
# ANCHOR: fetch_all
@ -29,8 +29,8 @@ def fetch_all_demo(conn: taos.TaosConnection):
# row count: 2
# ===============all data===================
# [{'ts': datetime.datetime(2018, 10, 3, 14, 38, 5), 'current': 10.300000190734863},
# {'ts': datetime.datetime(2018, 10, 3, 14, 38, 15), 'current': 12.600000381469727}]
# [{'ts': datetime.datetime(2018, 10, 3, 14, 38, 5, 500000), 'current': 11.800000190734863},
# {'ts': datetime.datetime(2018, 10, 3, 14, 38, 16, 600000), 'current': 13.399999618530273}]
# ANCHOR_END: fetch_all
if __name__ == '__main__':