class_docstr: Basic wrapper around several `DataLoader`s with factory methods for tabular data
docstr: Create `TabularDataLoaders` from `csv` file in `path` using `procs`
code: def from_csv(
      cls,
      csv: str | Path | io.BufferedReader,  # A csv of training data
      skipinitialspace: bool = True,  # Skip spaces after delimiter
      **kwargs,
  ):
      "Create `TabularDataLoaders` from `csv` file in `path` using `procs`"
      return cls.from_df(
          pd.read_csv(csv, skipinitialspace=skipinitialspace), **kwargs
      )
  
file_path: fastai/fastai/tabular/data.py
imports: from __future__ import annotations
  from ..torch_basics import *
  from ..data.all import *
  from .core import *
label_desc: Use image node_id 2 for calling the TabularDataLoaders obj's underlying member method code with example usage: obj.from_csv(cls, csv, skipinitialspace) and returns: cls