fix(data_frame): parsing empty value as numpy.NaN

Author: bednar

influxdb_client/client/flux_csv_parser.py

@@ -268,6 +268,7 @@ def parse_record(self, table_index, table, csv):
         return record
 
     def _to_value(self, str_val, column):
+
         if str_val == '' or str_val is None:
             default_value = column.default_value
             if default_value == '' or default_value is None:

tests/test_FluxCSVParser.py

@@ -267,15 +267,14 @@ def test_pandas_null_bool_types(self):
         data = "#datatype,string,long,dateTime:RFC3339,dateTime:RFC3339,string,string,string,string,boolean\n" \
                "#group,false,false,true,true,true,true,true,true,false\n" \
                "#default,_result,,,,,,,,\n" \
-               ",result,table,_start,_stop,_field,_measurement,host,region,value4\n" \
+               ",result,table,_start,_stop,_field,_measurement,host,region,value\n" \
                ",,0,1977-09-21T00:12:43.145224192Z,2018-07-16T11:21:02.547596934Z,free,mem,A,west,true\n" \
                ",,0,1977-09-21T00:12:43.145224192Z,2018-07-16T11:21:02.547596934Z,free,mem,A,west,\n"
 
         parser = self._parse(data=data, serialization_mode=FluxSerializationMode.dataFrame,
                              response_metadata_mode=FluxResponseMetadataMode.full)
         df = list(parser.generator())[0]
-        print(df.to_string())
-        self.assertEqual('bool', df.dtypes['value4'].name)
+        self.assertEqual('bool', df.dtypes['value'].name)
 
     def test_parse_without_datatype(self):
         data = ",result,table,_start,_stop,_field,_measurement,host,region,_value2,value1,value_str\n" \