727707 -0.121306 -0.097883 Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Note: These methods were previously save and from the specified file path Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Parameters path : string File path Returns columns (GH1970) • Fix reset_index bug if both drop and level are specified (GH1957) • Work around unsafe NumPy object->int casting with Cython function (GH1987) • Fix datetime64 formatting bug in DataFrame

734129 [5 rows x 3 columns] Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Warning: In 0.13, pickle preserves compatibility from the specified file path Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Parameters path : string File path Returns analysis toolkit, Release 0.13.1 Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Parameters path : string File path Returns

analysis toolkit, Release 0.14.0 Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Warning: In 0.13, pickle preserves compatibility from the specified file path Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Parameters path : string File path Returns from the specified file path Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Parameters path : string File path Returns

175743 -0.172372 -0.734129 Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Warning: Several internal refactorings, 0.13 from the specified file path Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Parameters path : string File path Returns from the specified file path Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Parameters path : string File path Returns

175743 -0.172372 -0.734129 Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Warning: Several internal refactorings, 0.13 from the specified file path Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Parameters path : string File path Returns from the specified file path Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Parameters path : string File path Returns

1 5 d 2 6 b c 3 7 d 4 8 Warning: Loading pickled data received from untrusted sources can be unsafe. See: https://docs.python.org/3/library/pickle.html Warning: read_pickle() is only guaranteed backwards serializing object-dtype data with pickle. Loading pickled data received from untrusted sources can be unsafe. See: https://docs.python.org/3/library/pickle.html for more. In [436]: store = pd.HDFStore("store parallel=True (e.g. @jit(parallel=True)) may result in a SIGABRT if the threading layer leads to unsafe behavior. You can first specify a safe threading layer before running a JIT function with parallel=True

1 5 d 2 6 b c 3 7 d 4 8 Warning: Loading pickled data received from untrusted sources can be unsafe. See: https://docs.python.org/3/library/pickle.html Warning: read_pickle() is only guaranteed backwards serializing object-dtype data with pickle. Loading pickled data received from untrusted sources can be unsafe. See: https://docs.python.org/3/library/pickle.html for more. In [394]: store = pd.HDFStore("store parallel=True (e.g. @jit(parallel=True)) may result in a SIGABRT if the threading layer leads to unsafe behavior. You can first specify a safe threading layer before running a JIT function with parallel=True

1 5 d 2 6 b c 3 7 d 4 8 Warning: Loading pickled data received from untrusted sources can be unsafe. See: https://docs.python.org/3/library/pickle.html Warning: read_pickle() is only guaranteed backwards serializing object-dtype data with pickle. Loading pickled data received from untrusted sources can be unsafe. See: https://docs.python.org/3/library/pickle.html for more. In [394]: store = pd.HDFStore("store parallel=True (e.g. @jit(parallel=True)) may result in a SIGABRT if the threading layer leads to unsafe behavior. You can first specify a safe threading layer before running a JIT function with parallel=True

1 5 d 2 6 b c 3 7 d 4 8 Warning: Loading pickled data received from untrusted sources can be unsafe. See: https://docs.python.org/3/library/pickle.html Warning: read_pickle() is only guaranteed backwards serializing object-dtype data with pickle. Loading pickled data received from untrusted sources can be unsafe. See: https://docs.python.org/3/library/pickle.html for more. In [394]: store = pd.HDFStore("store parallel=True (e.g. @jit(parallel=True)) may result in a SIGABRT if the threading layer leads to unsafe behavior. You can first specify a safe threading layer before running a JIT function with parallel=True

1 5 d 2 6 b c 3 7 d 4 8 Warning: Loading pickled data received from untrusted sources can be unsafe. See: https://docs.python.org/3/library/pickle.html Warning: read_pickle() is only guaranteed backwards serializing object-dtype data with pickle. Loading pickled data received from untrusted sources can be unsafe. See: https://docs.python.org/3/library/pickle.html for more. In [398]: store = pd.HDFStore("store parallel=True (e.g. @jit(parallel=True)) may result in a SIGABRT if the threading layer leads to unsafe behavior. You can first specify a safe threading layer before running a JIT function with parallel=True