pandas.read_pickle¶
-
pandas.
read_pickle
(path, compression='infer')[source]¶ Load pickled pandas object (or any object) from file.
Warning
Loading pickled data received from untrusted sources can be unsafe. See here.
Parameters: path : str
File path where the pickled object will be loaded.
compression : {‘infer’, ‘gzip’, ‘bz2’, ‘zip’, ‘xz’, None}, default ‘infer’
For on-the-fly decompression of on-disk data. If ‘infer’, then use gzip, bz2, xz or zip if path ends in ‘.gz’, ‘.bz2’, ‘.xz’, or ‘.zip’ respectively, and no decompression otherwise. Set to None for no decompression.
New in version 0.20.0.
Returns: - unpickled : type of object stored in file
See also
DataFrame.to_pickle
- Pickle (serialize) DataFrame object to file.
Series.to_pickle
- Pickle (serialize) Series object to file.
read_hdf
- Read HDF5 file into a DataFrame.
read_sql
- Read SQL query or database table into a DataFrame.
read_parquet
- Load a parquet object, returning a DataFrame.
Examples
>>> original_df = pd.DataFrame({"foo": range(5), "bar": range(5, 10)}) >>> original_df foo bar 0 0 5 1 1 6 2 2 7 3 3 8 4 4 9 >>> pd.to_pickle(original_df, "./dummy.pkl")
>>> unpickled_df = pd.read_pickle("./dummy.pkl") >>> unpickled_df foo bar 0 0 5 1 1 6 2 2 7 3 3 8 4 4 9
>>> import os >>> os.remove("./dummy.pkl")