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Fix for influxdata/influxdb-python#479 : DataFrameClient issue - seems does not process correctly DateTimeIndex dates #494

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Fix for influxdata/influxdb-python#479 : DataFrameClient issue - seems does not process correctly DateTimeIndex dates #494

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1915a3b
[FIX] : compatibility with new version of pandas
patrickhoebeke May 18, 2017
939c093
Merge branch 'master' into master
aviau Jun 3, 2017
bbb8742
Merge branch 'master' into master
patrickhoebeke Aug 23, 2017
11dd61a
[FIX] : Fixes #479 : DateTimeIndex not correctly converted to Unix Ep…
patrickhoebeke Aug 23, 2017
b40f26f
[FIX] : new fix for #479 : DateTimeIndex not correctly converted to U…
patrickhoebeke Aug 23, 2017
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11 changes: 6 additions & 5 deletions influxdb/_dataframe_client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,7 @@
from collections import defaultdict

import pandas as pd
import numpy as np

from .client import InfluxDBClient
from .line_protocol import _escape_tag
Expand Down Expand Up @@ -257,7 +258,7 @@ def _convert_dataframe_to_json(dataframe,
{'measurement': measurement,
'tags': dict(list(tag.items()) + list(tags.items())),
'fields': rec,
'time': int(ts.value / precision_factor)}
'time': np.int64(ts.value / precision_factor)}
for ts, tag, rec in zip(dataframe.index,
dataframe[tag_columns].to_dict('record'),
dataframe[field_columns].to_dict('record'))
Expand Down Expand Up @@ -325,11 +326,11 @@ def _convert_dataframe_to_lines(self,

# Make array of timestamp ints
if isinstance(dataframe.index, pd.PeriodIndex):
time = ((dataframe.index.to_timestamp().values.astype(int) /
precision_factor).astype(int).astype(str))
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(int) /
precision_factor).astype(int).astype(str))
time = ((pd.to_datetime(dataframe.index).values.astype(np.int64) /
precision_factor).astype(np.int64).astype(str))

# If tag columns exist, make an array of formatted tag keys and values
if tag_columns:
Expand Down