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docs: change city names in docs-examples

This commit is contained in:
dingbo 2022-05-28 07:52:06 +08:00
parent 0a5742be83
commit 598faea6ee
6 changed files with 27 additions and 28 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 ... // query callback ...
// ts current voltage phase location groupid // ts current voltage phase location groupid
// numOfRow = 8 // numOfRow = 8
// 1538548685000 10.300000 219 0.310000 beijing.chaoyang 2 // 1538548685500 11.800000 221 0.280000 california.losangeles 2
// 1538548695000 12.600000 218 0.330000 beijing.chaoyang 2 // 1538548696600 13.400000 223 0.290000 california.losangeles 2
// 1538548696800 12.300000 221 0.310000 beijing.chaoyang 2 // 1538548685000 10.800000 223 0.290000 california.losangeles 3
// 1538548696650 10.300000 218 0.250000 beijing.chaoyang 3 // 1538548686500 11.500000 221 0.350000 california.losangeles 3
// 1538548685500 11.800000 221 0.280000 beijing.haidian 2 // 1538548685000 10.300000 219 0.310000 california.sanfrancisco 2
// 1538548696600 13.400000 223 0.290000 beijing.haidian 2 // 1538548695000 12.600000 218 0.330000 california.sanfrancisco 2
// 1538548685000 10.800000 223 0.290000 beijing.haidian 3 // 1538548696800 12.300000 221 0.310000 california.sanfrancisco 2
// 1538548686500 11.500000 221 0.350000 beijing.haidian 3 // 1538548696650 10.300000 218 0.250000 california.sanfrancisco 3
// numOfRow = 0 // numOfRow = 0
// no more data, close the connection. // no more data, close the connection.
// ANCHOR_END: demo // ANCHOR_END: demo

8
docs-examples/python/conn_native_pandas.py
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@ -13,7 +13,7 @@ print(df.head(3))
# output: # output:
# RangeIndex(start=0, stop=8, step=1) # RangeIndex(start=0, stop=8, step=1)
# <class 'pandas._libs.tslibs.timestamps.Timestamp'> # <class 'pandas._libs.tslibs.timestamps.Timestamp'>
# ts current voltage phase location groupid # ts current ... location groupid
# 0 2018-10-03 14:38:05.000 10.3 219 0.31 beijing.chaoyang 2 # 0 2018-10-03 14:38:05.500 11.8 ... california.losangeles 2
# 1 2018-10-03 14:38:15.000 12.6 218 0.33 beijing.chaoyang 2 # 1 2018-10-03 14:38:16.600 13.4 ... california.losangeles 2
# 2 2018-10-03 14:38:16.800 12.3 221 0.31 beijing.chaoyang 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)) print(df.head(3))
# output: # output:
# <class 'datetime.datetime'>
# RangeIndex(start=0, stop=8, step=1) # RangeIndex(start=0, stop=8, step=1)
# <class 'pandas._libs.tslibs.timestamps.Timestamp'>
# ts current ... location groupid # ts current ... location groupid
# 0 2018-10-03 14:38:05+08:00 10.3 ... beijing.chaoyang 2 # 0 2018-10-03 06:38:05.500000+00:00 11.8 ... california.losangeles 2
# 1 2018-10-03 14:38:15+08:00 12.6 ... beijing.chaoyang 2 # 1 2018-10-03 06:38:16.600000+00:00 13.4 ... california.losangeles 2
# 2 2018-10-03 14:38:16.800000+08:00 12.3 ... beijing.chaoyang 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 # inserted row count: 8
# queried row count: 3 # queried row count: 3
# ['ts', 'current', 'voltage', 'phase', 'location', 'groupid'] # ['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, 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, 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, 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, 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, tzinfo=datetime.timezone(datetime.timedelta(seconds=28800), '+08:00')), 10.8, 223, 0.29, 'california.losangeles', 3]
# ANCHOR_END: basic # ANCHOR_END: basic

10
docs-examples/python/query_example.py
View File

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