dwker/lightweight-charts-python
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bugfix date

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This commit is contained in:
David Brazda
2024-09-27 14:20:09 +02:00
parent 51fc616f82
commit bbbd37520d
1 changed files with 2 additions and 2 deletions
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4
lightweight_charts/abstract.py
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@ -202,7 +202,7 @@ class SeriesCommon(Pane):
self._set_interval(df) self._set_interval(df)
if not pd.api.types.is_datetime64_any_dtype(df['time']): if not pd.api.types.is_datetime64_any_dtype(df['time']):
df['time'] = pd.to_datetime(df['time']) df['time'] = pd.to_datetime(df['time'])
df['time'] = df['time'].astype('int64') / 10 ** 9 #removed integer divison // 10 ** 9 to keep subseconds precision df['time'] = (df['time'].astype('int64') / 10 ** 6).astype(float)
# if 'updated' in df.columns: # if 'updated' in df.columns:
# df['updated'] = pd.to_datetime(df['updated']).astype('int64') / 10**9 # df['updated'] = pd.to_datetime(df['updated']).astype('int64') / 10**9
@ -213,7 +213,7 @@ class SeriesCommon(Pane):
if col == 'time' or not pd.api.types.is_datetime64_any_dtype(df[col]): if col == 'time' or not pd.api.types.is_datetime64_any_dtype(df[col]):
continue continue
# Convert datetime to timestamp with nanosecond precision after the decimal # Convert datetime to timestamp with nanosecond precision after the decimal
df[col] = pd.to_datetime(df[col]).astype('int64') / 10**9 df[col] = (pd.to_datetime(df[col]).astype('int64') / 10**6).astype(float)
return df return df