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: