simicd opened a new issue, #241:
URL: https://github.com/apache/arrow-datafusion-python/issues/241
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
With PR #235 & #197 datafusion DataFrames can be directly converted to
Python list, Python dictionary, pandas, polars or Arrow Table. I'd like to have
the functionality to go the other way and create datafusion DataFrames from
these object types, e.g. from a dictionary:
```python
import datafusion
ctx = datafusion.SessionContext()
df = ctx.from_pydict({"a": [1, 2, 3], "b": [4, 5, 6]})
# Dataframe:
# +---+---+
# | a | b |
# +---+---+
# | 1 | 4 |
# | 2 | 5 |
# | 3 | 6 |
# +---+---+
```
**Describe the solution you'd like**
Context methods that can generate datafusion DataFrames using pyarrow's
`from_...` methods (e.g.
[from_pandas](https://arrow.apache.org/docs/python/generated/pyarrow.Table.html#pyarrow.Table.from_pandas),
[from_pydict](https://arrow.apache.org/docs/python/generated/pyarrow.Table.html#pyarrow.Table.from_pydict),
...)
- [ ] from_pydict
- [ ] from_pylist
- [ ] from_pandas
- [ ] from_polars
- [ ] from_arrow_table
**Describe alternatives you've considered**
n/a
**Additional context**
n/a
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