Pandas interface¶
Pandas 1 is one of the key packages used in most data science projects done in Python. The associated import interface is one of the slowest, but you can harness the good data exploration and manipulation capabilities of this Python package.
Import from Pandas¶
Using the from_pandas() class method, you
can create a new DataFrame based on the provided
pandas.DataFrame. The
read_pandas() method will replace the
content of the current DataFrame instance or
append further rows.
Export to Pandas¶
In addition to reading data from a pandas.DataFrame, you
can also write an existing getml.data.DataFrame back into a
pandas.DataFrame using
to_pandas(). Due to the way data is stored
within the getML engine, the dtypes of the original
pandas.DataFrame can not be restored properly and their
might be inconsistencies in the order of microseconds being introduced
into timestamps.