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Diffstat (limited to 'docs/user_guide/timestamped_data')
-rw-r--r-- | docs/user_guide/timestamped_data/pandas_dataframe_conversion.md | 8 |
1 files changed, 7 insertions, 1 deletions
diff --git a/docs/user_guide/timestamped_data/pandas_dataframe_conversion.md b/docs/user_guide/timestamped_data/pandas_dataframe_conversion.md index 839460a..eaa7b69 100644 --- a/docs/user_guide/timestamped_data/pandas_dataframe_conversion.md +++ b/docs/user_guide/timestamped_data/pandas_dataframe_conversion.md @@ -7,6 +7,8 @@ Pandas DataFrame conversion A [Pandas DataFrame](https://pandas.pydata.org/docs/getting_started/intro_tutorials/01_table_oriented.html#min-tut-01-tableoriented) is a python data structure allowing powerful table processings. +## Export as dataframe + [TimeStampedBuffer](../../../argaze/#argaze.DataStructures.TimeStampedBuffer) instance can be converted into dataframe provided that data values are stored as dictionaries. ```python @@ -32,4 +34,8 @@ ts_buffer_dataframe would look like: |10 |0 |0.123| |20 |4 |0.567| |30 |8 |0.901| -|... |... |... |
\ No newline at end of file +|... |... |... | + +## Import from dataframe + +Reversely, [TimeStampedBuffer](../../../argaze/#argaze.DataStructures.TimeStampedBuffer) instance can be created from dataframe, as a result of which each dataframe columns label will become a key of data value dictionary. Notice that the column containing timestamp values have to be called 'timestamp'. |