[FIX] CI further Flake8 fixes

Author: auphofBSF

influxdb/_dataframe_client.py

@@ -15,24 +15,26 @@
 from .client import InfluxDBClient
 from .line_protocol import _escape_tag
 
-# Precisions factors must be int for correct calculation to ints. if float the result of a floor calc is an approximation
-# Example : the issue is only observable with nanosecond resolution values are greater than 895ns
+# Precisions factors must be int for correct calculation to ints.
+# if precision is a float the result of a floor calc is an approximation
+# Example : the issue is only observable with nanosecond resolution
+#           values are greater than 895ns
 # ts = pd.Timestamp('2013-01-01 23:10:55.123456987+00:00')
 # ts_ns = np.int64(ts.value)
 # # For conversion to microsecond
 # precision_factor=1e3
 # expected_ts_us = 1357081855123456
-# np.int64(ts_ns // precision_factor) # results in INCORRECT 1357081855123457
-# np.int64(ts_ns // np.int64(precision_factor) # results in CORRECT 1357081855123456
+# # following is INCORRECT 1357081855123457
+# np.int64(ts_ns // precision_factor)
+# # following is CORRECT 1357081855123456
+# np.int64(ts_ns // np.int64(precision_factor)
 
-_time_precision_factors = {
-            "n": 1,
-            "u": np.int64(1e3),
-            "ms": np.int64(1e6),
-            "s": np.int64(1e9),
-            "m": np.int64(1e9 * 60),
-            "h": np.int64( 1e9 * 3600),
-        }
+_time_precision_factors = {"n": 1,
+                           "u": np.int64(1e3),
+                           "ms": np.int64(1e6),
+                           "s": np.int64(1e9),
+                           "m": np.int64(1e9 * 60),
+                           "h": np.int64(1e9 * 3600), }
 
 
 def _pandas_time_unit(time_precision):
@@ -280,7 +282,7 @@ def _convert_dataframe_to_json(dataframe,
         # Convert dtype for json serialization
         dataframe = dataframe.astype('object')
 
-        precision_factor =_time_precision_factors.get(time_precision, 1)
+        precision_factor = _time_precision_factors.get(time_precision, 1)
 
         points = [
             {'measurement': measurement,
@@ -343,11 +345,11 @@ def _convert_dataframe_to_lines(self,
             field_columns = list(column_series[~column_series.isin(
                 tag_columns)])
 
-        precision_factor =_time_precision_factors.get(time_precision, 1)
+        precision_factor = _time_precision_factors.get(time_precision, 1)
 
         # Make array of timestamp ints
         if isinstance(dataframe.index, pd.PeriodIndex):
-            time = ((dataframe.index.to_timestamp().values.astype(np.int64) // 
+            time = ((dataframe.index.to_timestamp().values.astype(np.int64) //
                      precision_factor).astype(np.int64).astype(str))
         else:
             time = ((pd.to_datetime(dataframe.index).values.astype(np.int64) //
@@ -458,5 +460,5 @@ def _stringify_dataframe(dframe, numeric_precision, datatype='field'):
 
     def _datetime_to_epoch(self, datetime, time_precision='s'):
         nanoseconds = (datetime - self.EPOCH).value
-        precision_factor =_time_precision_factors.get(time_precision, 1)
+        precision_factor = _time_precision_factors.get(time_precision, 1)
         return np.int64(nanoseconds // np.int64(precision_factor))