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devel:languages:python
python-influxdb
python-influxdb-new-pandas.patch
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File python-influxdb-new-pandas.patch of Package python-influxdb
Index: influxdb-5.3.2/influxdb/tests/dataframe_client_test.py =================================================================== --- influxdb-5.3.2.orig/influxdb/tests/dataframe_client_test.py +++ influxdb-5.3.2/influxdb/tests/dataframe_client_test.py @@ -19,7 +19,10 @@ from .client_test import _mocked_session if not using_pypy: import pandas as pd - from pandas.util.testing import assert_frame_equal + try: + from pandas.testing import assert_frame_equal + except ImportError: + from pandas.util.testing import assert_frame_equal from influxdb import DataFrameClient import numpy as np @@ -947,7 +950,7 @@ class TestDataFrameClient(unittest.TestC index=pd.to_datetime([ "2015-01-29 21:55:43.702900257+0000", "2015-01-29 21:55:43.702900257+0000", - "2015-06-11 20:46:02+0000"])) + "2015-06-11 20:46:02+0000"], format='ISO8601')) if pd1.index.tzinfo is None: pd1.index = pd1.index.tz_localize('UTC') pd2 = pd.DataFrame( @@ -1008,7 +1011,7 @@ class TestDataFrameClient(unittest.TestC index=pd.to_datetime([ "2015-01-29 21:55:43.702900257+0000", "2015-01-29 21:55:43.702900257+0000", - "2015-06-11 20:46:02+0000"])) + "2015-06-11 20:46:02+0000"], format='ISO8601')) if pd1.index.tzinfo is None: pd1.index = pd1.index.tz_localize('UTC') @@ -1019,7 +1022,7 @@ class TestDataFrameClient(unittest.TestC index=pd.to_datetime([ "2015-01-29 21:55:43.702900257+0000", "2015-01-29 21:55:43.702900257+0000", - "2015-06-11 20:46:02+0000"])) + "2015-06-11 20:46:02+0000"], format='ISO8601')) if pd1_dropna.index.tzinfo is None: pd1_dropna.index = pd1_dropna.index.tz_localize('UTC') Index: influxdb-5.3.2/influxdb/tests/influxdb08/dataframe_client_test.py =================================================================== --- influxdb-5.3.2.orig/influxdb/tests/influxdb08/dataframe_client_test.py +++ influxdb-5.3.2/influxdb/tests/influxdb08/dataframe_client_test.py @@ -16,7 +16,10 @@ from .client_test import _mocked_session if not using_pypy: import pandas as pd - from pandas.util.testing import assert_frame_equal + try: + from pandas.testing import assert_frame_equal + except ImportError: + from pandas.util.testing import assert_frame_equal from influxdb.influxdb08 import DataFrameClient Index: influxdb-5.3.2/influxdb/tests/server_tests/client_test_with_server.py =================================================================== --- influxdb-5.3.2.orig/influxdb/tests/server_tests/client_test_with_server.py +++ influxdb-5.3.2/influxdb/tests/server_tests/client_test_with_server.py @@ -34,7 +34,10 @@ warnings.simplefilter('error', FutureWar if not using_pypy: import pandas as pd - from pandas.util.testing import assert_frame_equal + try: + from pandas.testing import assert_frame_equal + except ImportError: + from pandas.util.testing import assert_frame_equal THIS_DIR = os.path.abspath(os.path.dirname(__file__)) Index: influxdb-5.3.2/influxdb/_dataframe_client.py =================================================================== --- influxdb-5.3.2.orig/influxdb/_dataframe_client.py +++ influxdb-5.3.2/influxdb/_dataframe_client.py @@ -219,7 +219,7 @@ class DataFrameClient(InfluxDBClient): else: key = (name, tuple(sorted(tags.items()))) df = pd.DataFrame(data) - df.time = pd.to_datetime(df.time) + df.time = pd.to_datetime(df.time, format='mixed') if data_frame_index: df.set_index(data_frame_index, inplace=True) @@ -449,7 +449,7 @@ class DataFrameClient(InfluxDBClient): include=['floating']).columns) nonfloat_columns = dframe.columns[~dframe.columns.isin( float_columns)] - dframe[float_columns] = dframe[float_columns].applymap(repr) + dframe[float_columns] = dframe[float_columns].map(repr) dframe[nonfloat_columns] = (dframe[nonfloat_columns].astype(str)) elif isinstance(numeric_precision, int): # If precision is specified, round to appropriate precision @@ -462,7 +462,7 @@ class DataFrameClient(InfluxDBClient): # If desired precision is > 10 decimal places, need to use repr if numeric_precision > 10: - dframe[float_columns] = (dframe[float_columns].applymap(repr)) + dframe[float_columns] = (dframe[float_columns].map(repr)) dframe[nonfloat_columns] = (dframe[nonfloat_columns] .astype(str)) else:
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