Comments (6)
Another (less-effort) implementation:
import polars as pl
import io
def to_markdown(df: pl.DataFrame) -> str:
buf = io.StringIO()
with pl.Config(
tbl_formatting="ASCII_MARKDOWN",
tbl_hide_column_data_types=True,
tbl_hide_dataframe_shape=True,
):
print(df, file=buf)
buf.seek(0)
return buf.read()
One may need more config options like tbl_rows=-1
though.
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Another (less-effort) implementation:
Nice one; I think it's relatively unknown, but the Config
object can also function as a decorator1, which works well with that pattern, eg:
@pl.Config(
tbl_formatting = "ASCII_MARKDOWN",
tbl_hide_column_data_types = True,
tbl_hide_dataframe_shape = True,
)
def frame_to_markdown( df: pl.DataFrame ) -> str:
return str(df)
If we could add left/right/center align options to the markdown output we'd have the basics covered at least 🤔
Footnotes
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pandas does this by deferring to tabulate
- there's a feature there about adding support for polars astanin/python-tabulate#258
I guess contributing Polars support to tabulate
would be the easiest way to make it happen
from polars.
@MarcoGorelli I thought the opposite trying to implement pyarrow table support to it a while ago; the way tabulate
support pandas
is a bit too rough (checking hasattr(df, "value")
, hasattr(df, "index")
, hasattr(df.index, "name")
, ..., ) for other third party dataframe libraries to support it without first converting to pandas
.
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I also received a feature request to cast to HTML; if one is accepted then the other would be pretty much straighforward.
from polars.
doesn't _repr_html
already cast it to html or am I misunderstanding something?
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Related Issues (20)
- add `show` method for syntax compatibility with pyspark/duckdb/etc dataframe API
- `gather` in `agg` context gathers values from other groups
- ShapeError: filter's length: 155 differs from that of the series: 0 HOT 9
- Version 0.20.30 bug HOT 4
- `.list.to_array()` fails if first element of a list column is excluded HOT 2
- `scan_parquet` + `with_row_index` causing `pl.len()` to return 0 HOT 1
- full join with coalesce=True panics if more key expressions are used than columns in a frame
- LazyFrames containing nested List types will cause panic in `collect()` HOT 1
- Another "coalesce=False" `join` schema issue HOT 2
- performance slowdown with `Expr.alias` HOT 3
- Shift(n) should accept a varying n HOT 4
- Rolling ewm/prod/rank HOT 3
- Improve string split API and DataTypes (`split`, `splitn`, `split_exact`)
- Inconsistent Behavior with `inspect` in Aggregations
- In LazyFrame, select empty Series causes panic HOT 3
- `check_sorted` causes error in `DataFrame.rolling` HOT 3
- Expose API for custom grouping operations similar to expression plugin API
- add strategy="mode" for fill_null HOT 5
- `write_parquet(pyarrow=False)` with `Struct` panic: "The children must have an equal number of values." HOT 2
- Add `pl.Config.show_full` (or something similar) HOT 1
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