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authorThéo de la Hogue2023-07-11 16:19:24 +0200
committerThéo de la Hogue2023-07-11 16:19:24 +0200
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Documenting from_dataframe methods.
Diffstat (limited to 'docs/user_guide/timestamped_data')
-rw-r--r--docs/user_guide/timestamped_data/pandas_dataframe_conversion.md8
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'.