Creating DataFrame from python list

[Vijendra07Kulhade]

Checks

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of Polars.

Reproducible example

import polars as pl
print(pl.__version__)

# Your 2D list
data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

# Create DataFrame with column names
df = pl.DataFrame(data, columns=["A", "B", "C"])

print(df)

Log output

0.20.2
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-5-4089a37271bc> in <cell line: 8>()
      6 
      7 # Create DataFrame with column names
----> 8 df = pl.DataFrame(data, columns=["A", "B", "C"])
      9 
     10 print(df)

TypeError: DataFrame.__init__() got an unexpected keyword argument 'columns'

Issue description

Unable to create DataFrame like Pandas.

Expected behavior

It should create dataframe like pandas.

Installed versions

Replace this line with the output of pl.show_versions(). Leave the backticks in place.

-------Version info---------
Polars: 0.20.2
Index type: UInt32
Platform: Linux-6.1.58+-x86_64-with-glibc2.35
Python: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]

----Optional dependencies----
adbc_driver_manager: 0.11.0
cloudpickle: 2.2.1
connectorx: 0.3.3
deltalake: 0.17.4
fsspec: 2023.6.0
gevent: 24.2.1
matplotlib: 3.7.1
numpy: 1.25.2
openpyxl: 3.1.2
pandas: 2.0.3
pyarrow: 14.0.2
pydantic: 2.7.1
pyiceberg: 0.6.1
pyxlsb:
sqlalchemy: 2.0.30
xlsx2csv: 0.8.2
xlsxwriter: 3.2.0
None

TypeError Traceback (most recent call last)
in <cell line: 8>()
6
7 # Create DataFrame with column names
----> 8 df = pl.DataFrame(data, columns=["A", "B", "C"])
9
10 print(df)

TypeError: DataFrame.init() got an unexpected keyword argument 'columns'

[cmdlineluser]

It's schema= in Polars.

>>> pl.DataFrame(data, schema=["A", "B", "C"])
shape: (3, 3)
┌─────┬─────┬─────┐
│ A   ┆ B   ┆ C   │
│ --- ┆ --- ┆ --- │
│ i64 ┆ i64 ┆ i64 │
╞═════╪═════╪═════╡
│ 1   ┆ 4   ┆ 7   │
│ 2   ┆ 5   ┆ 8   │
│ 3   ┆ 6   ┆ 9   │
└─────┴─────┴─────┘