def from_castra(x, columns=None): """Load a dask DataFrame from a Castra. Parameters ---------- x : filename or Castra columns: list or string, optional The columns to load. Default is all columns. """ from castra import Castra if not isinstance(x, Castra): x = Castra(x, readonly=True) return x.to_dask(columns)
def from_castra(x, columns=None): """ Load a dask DataFrame from a Castra. The Castra project has been deprecated. We recommend using Parquet instead. Parameters ---------- x : filename or Castra columns: list or string, optional The columns to load. Default is all columns. """ from castra import Castra if not isinstance(x, Castra): x = Castra(x, readonly=True) return x.to_dask(columns)
def load(file_name): c = Castra(path='./subreddit_dumps/' + file_name + '.castra/') df = c.to_dask() return df
def load(file_name): c = Castra(path = './subreddit_dumps/'+file_name+'.castra/') df = c.to_dask() return df