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| author | Théo de la Hogue | 2022-11-16 15:54:28 +0100 |
|---|---|---|
| committer | Théo de la Hogue | 2022-11-16 15:54:28 +0100 |
| commit | 2f9a19eec8dd729b0134190b00b52e82c780f12b (patch) | |
| tree | ecb5e0fc8b52b643f60a248cd2a67319249f82db | |
| parent | 3fe78a78645ce8c013b21061fc7847551f8a9a2d (diff) | |
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Minor comment change.
| -rw-r--r-- | src/argaze/DataStructures.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/argaze/DataStructures.py b/src/argaze/DataStructures.py index 9339227..6502091 100644 --- a/src/argaze/DataStructures.py +++ b/src/argaze/DataStructures.py @@ -113,8 +113,8 @@ class TimeStampedBuffer(collections.OrderedDict): def as_dataframe(self, exclude=[], split={}) -> pandas.DataFrame: """Convert as [pandas dataframe](https://pandas.pydata.org/docs/reference/frame.html). - The optional *split* argument allows tuple values to be stored in a dedicated columns. - For example: to convert {"point": (0, 0)} data as two separated "x" and "y" columns, use split={"point":["x", "y"]} + The optional *split* argument allows tuple values to be stored in dedicated columns. + For example: to convert {"point": (0, 0)} data as two separated "x" and "y" columns, use split={"point": ["x", "y"]} .. warning:: Values must be dictionaries. Each key is stored as a column name. |