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all datetime columns changed to timestamp, change from json to faster orjson

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This commit is contained in:
David Brazda
2024-06-12 13:33:50 +02:00
parent ed7ff29771
commit c29b1c5535
4 changed files with 51 additions and 14 deletions
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12
lightweight_charts/abstract.py
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@ -275,6 +275,18 @@ class SeriesCommon(Pane):
if not pd.api.types.is_datetime64_any_dtype(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
# if 'updated' in df.columns:
# df['updated'] = pd.to_datetime(df['updated']).astype('int64') / 10**9
# Iterate over all columns and convert any additional datetime columns to timestamps (for example updated)
for col in df.columns:
# Skip columns that are explicitly managed elsewhere or meant to be excluded
if col == 'time' or not pd.api.types.is_datetime64_any_dtype(df[col]):
continue
# Convert datetime to timestamp with nanosecond precision after the decimal
df[col] = pd.to_datetime(df[col]).astype('int64') / 10**9
return df
def _series_datetime_format(self, series: pd.Series, exclude_lowercase=None):