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Error Loading Profile #38

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kiddrew opened this issue Oct 16, 2014 · 4 comments
Closed

Error Loading Profile #38

kiddrew opened this issue Oct 16, 2014 · 4 comments

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@kiddrew
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kiddrew commented Oct 16, 2014

I'm getting this generic error. Is my script just too big?

Error Loading Profile

Sorry, we were not able to load this profile! You can try profiling a smaller portion of your code. The statistics table below might help you narrow down which portion of your code to focus on.
@jiffyclub
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Owner

This happens when SnakeViz is unable to load and render the visualization within 20 seconds, which happens with complicated profiles. What I generally do is look at the stats table to identify a specific slow function to profile and then use the IPython magics %prun or %snakeviz to look at just that function.

@kiddrew
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kiddrew commented Oct 16, 2014

Got it, thanks. Very nice tool, btw.

@jeffalstott
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I'm getting this error, and the code is not terribly complex. Below is the profile. Is there any way to extend the time limit, to alter the maximum depth we're looking down, or anything like that?

 3505 function calls (3497 primitive calls) in 0.008 seconds

   Ordered by: internal time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
      631    0.000    0.000    0.000    0.000 {built-in method isinstance}
       76    0.000    0.000    0.000    0.000 {built-in method array}
       14    0.000    0.000    0.000    0.000 {method 'reduce' of 'numpy.ufunc' objects}
        1    0.000    0.000    0.000    0.000 {method 'take' of 'numpy.ndarray' objects}
       12    0.000    0.000    0.000    0.000 {pandas.lib.infer_dtype}
        2    0.000    0.000    0.001    0.000 {pandas.lib.scalar_compare}
       25    0.000    0.000    0.001    0.000 internals.py:1804(make_block)
       17    0.000    0.000    0.001    0.000 series.py:134(__init__)
        4    0.000    0.000    0.000    0.000 internals.py:2656(set)
        6    0.000    0.000    0.000    0.000 common.py:620(take_nd)
        2    0.000    0.000    0.002    0.001 indexing.py:194(_setitem_with_indexer)
        2    0.000    0.000    0.000    0.000 {pandas.lib.isnullobj}
        8    0.000    0.000    0.001    0.000 internals.py:2129(apply)
  116/114    0.000    0.000    0.000    0.000 {built-in method getattr}
        1    0.000    0.000    0.008    0.008 <ipython-input-346-91dc3233550d>:3(swap_with_restriction)
  279/277    0.000    0.000    0.000    0.000 {built-in method len}
       25    0.000    0.000    0.000    0.000 internals.py:59(__init__)
       21    0.000    0.000    0.000    0.000 internals.py:3035(__init__)
        2    0.000    0.000    0.000    0.000 internals.py:2503(fast_xs)
        2    0.000    0.000    0.000    0.000 common.py:202(_isnull_ndarraylike)
       10    0.000    0.000    0.000    0.000 common.py:2165(_asarray_tuplesafe)
        1    0.000    0.000    0.008    0.008 {built-in method exec}
       18    0.000    0.000    0.000    0.000 generic.py:87(__init__)
       33    0.000    0.000    0.000    0.000 {method 'view' of 'numpy.ndarray' objects}
        6    0.000    0.000    0.000    0.000 index.py:114(__new__)
        2    0.000    0.000    0.000    0.000 {built-in method stat}
      152    0.000    0.000    0.000    0.000 {built-in method issubclass}
        7    0.000    0.000    0.000    0.000 series.py:2397(_sanitize_array)
        4    0.000    0.000    0.000    0.000 indexing.py:982(_convert_to_indexer)
       62    0.000    0.000    0.000    0.000 {built-in method hasattr}
        1    0.000    0.000    0.000    0.000 internals.py:2004(_rebuild_blknos_and_blklocs)
       12    0.000    0.000    0.000    0.000 {built-in method empty}
        4    0.000    0.000    0.000    0.000 internals.py:460(setitem)
        9    0.000    0.000    0.000    0.000 index.py:709(__getitem__)
       46    0.000    0.000    0.000    0.000 numeric.py:394(asarray)
        6    0.000    0.000    0.000    0.000 common.py:1862(_possibly_infer_to_datetimelike)
        2    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:2016(find_spec)
        2    0.000    0.000    0.001    0.000 generic.py:1244(xs)
        8    0.000    0.000    0.000    0.000 {method 'copy' of 'numpy.ndarray' objects}
       29    0.000    0.000    0.000    0.000 numeric.py:1910(isscalar)
        2    0.000    0.000    0.000    0.000 internals.py:211(set)
        2    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:2147(_find_spec)
        2    0.000    0.000    0.000    0.000 internals.py:3417(_interleaved_dtype)
        2    0.000    0.000    0.001    0.001 ops.py:547(wrapper)
        4    0.000    0.000    0.002    0.001 indexing.py:372(setter)
       18    0.000    0.000    0.000    0.000 {method 'get_loc' of 'pandas.index.IndexEngine' objects}
        8    0.000    0.000    0.000    0.000 internals.py:3565(_get_blkno_placements)
       30    0.000    0.000    0.000    0.000 generic.py:297(_get_axis_name)
        4    0.000    0.000    0.000    0.000 frame.py:2113(_sanitize_column)
       10    0.000    0.000    0.000    0.000 generic.py:1047(_get_item_cache)
        4    0.000    0.000    0.000    0.000 index.py:1244(get_indexer)
        1    0.000    0.000    0.000    0.000 indexing.py:1616(_maybe_convert_indices)
        4    0.000    0.000    0.000    0.000 {method 'get_indexer' of 'pandas.index.IndexEngine' objects}
       11    0.000    0.000    0.000    0.000 internals.py:1238(__init__)
       21    0.000    0.000    0.000    0.000 index.py:698(__contains__)
       20    0.000    0.000    0.000    0.000 {pandas.lib.values_from_object}
       10    0.000    0.000    0.000    0.000 internals.py:1950(shape)
       21    0.000    0.000    0.000    0.000 generic.py:1845(__setattr__)
        6    0.000    0.000    0.000    0.000 internals.py:742(take_nd)
        2    0.000    0.000    0.002    0.001 indexing.py:754(_getitem_lowerdim)
       17    0.000    0.000    0.000    0.000 series.py:263(_set_axis)
       25    0.000    0.000    0.000    0.000 internals.py:108(mgr_locs)
        8    0.000    0.000    0.000    0.000 generic.py:1829(__getattr__)
        4    0.000    0.000    0.000    0.000 internals.py:2586(iget)
        1    0.000    0.000    0.001    0.001 internals.py:2961(take)
        7    0.000    0.000    0.002    0.000 frame.py:1655(__getitem__)
       33    0.000    0.000    0.000    0.000 index.py:3936(_ensure_index)
        2    0.000    0.000    0.001    0.000 generic.py:1594(reindex)
       18    0.000    0.000    0.000    0.000 index.py:1173(get_loc)
       11    0.000    0.000    0.000    0.000 common.py:1933(_is_bool_indexer)
        2    0.000    0.000    0.001    0.000 indexing.py:884(_getitem_iterable)
       28    0.000    0.000    0.000    0.000 common.py:58(_check)
        4    0.000    0.000    0.002    0.000 indexing.py:856(_getitem_axis)
        3    0.000    0.000    0.001    0.000 internals.py:2828(reindex_indexer)
       30    0.000    0.000    0.000    0.000 generic.py:310(_get_axis)
        6    0.000    0.000    0.000    0.000 common.py:942(_maybe_promote)
        4    0.000    0.000    0.000    0.000 generic.py:1138(_set_item)
       13    0.000    0.000    0.000    0.000 index.py:256(__array_finalize__)
        2    0.000    0.000    0.000    0.000 generic.py:1709(_reindex_with_indexers)
        4    0.000    0.000    0.000    0.000 shape_base.py:60(atleast_2d)
       26    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:2264(_handle_fromlist)
        2    0.000    0.000    0.000    0.000 internals.py:1291(set)
        1    0.000    0.000    0.000    0.000 ops.py:469(wrapper)
       16    0.000    0.000    0.000    0.000 indexing.py:1676(_is_list_like)
        2    0.000    0.000    0.003    0.001 indexing.py:95(__setitem__)
       19    0.000    0.000    0.000    0.000 internals.py:3165(values)
        7    0.000    0.000    0.000    0.000 common.py:1753(_possibly_castable)
      6/4    0.000    0.000    0.002    0.001 indexing.py:60(__getitem__)
        1    0.000    0.000    0.000    0.000 {pandas.algos.take_2d_axis1_bool_bool}
        4    0.000    0.000    0.001    0.000 frame.py:2072(_set_item)
        9    0.000    0.000    0.000    0.000 generic.py:1812(__finalize__)
        2    0.000    0.000    0.000    0.000 index.py:460(is_unique)
        1    0.000    0.000    0.000    0.000 {pandas.algos.take_2d_axis1_object_object}
        6    0.000    0.000    0.000    0.000 common.py:589(_get_take_nd_function)
        6    0.000    0.000    0.000    0.000 common.py:132(_isnull_new)
        4    0.000    0.000    0.000    0.000 fromnumeric.py:2251(prod)
        2    0.000    0.000    0.000    0.000 {method 'get_value' of 'pandas.index.IndexEngine' objects}
        6    0.000    0.000    0.000    0.000 indexing.py:154(_convert_scalar_indexer)
        4    0.000    0.000    0.001    0.000 frame.py:1994(__setitem__)
        1    0.000    0.000    0.000    0.000 index.py:783(take)
        5    0.000    0.000    0.000    0.000 indexing.py:1520(_convert_to_index_sliceable)
        1    0.000    0.000    0.000    0.000 {method 'nonzero' of 'numpy.ndarray' objects}
       53    0.000    0.000    0.000    0.000 internals.py:91(mgr_locs)
        4    0.000    0.000    0.000    0.000 {pandas.lib.get_blkno_indexers}
        2    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:2234(_find_and_load)
       16    0.000    0.000    0.000    0.000 function_base.py:47(iterable)
        4    0.000    0.000    0.000    0.000 internals.py:2395(copy)
        1    0.000    0.000    0.000    0.000 {pandas.algos.take_2d_axis1_int64_int64}
        1    0.000    0.000    0.001    0.001 generic.py:1217(take)
        1    0.000    0.000    0.008    0.008 <string>:2(<module>)
       71    0.000    0.000    0.000    0.000 {method 'get' of 'dict' objects}
        4    0.000    0.000    0.000    0.000 frame.py:1521(get_value)
        2    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:2207(_find_and_load_unlocked)
       13    0.000    0.000    0.000    0.000 index.py:218(_reset_identity)
        7    0.000    0.000    0.000    0.000 series.py:2410(_try_cast)
        4    0.000    0.000    0.000    0.000 generic.py:2101(copy)
       17    0.000    0.000    0.000    0.000 series.py:285(_set_subtyp)
        4    0.000    0.000    0.000    0.000 internals.py:2558(get)
        1    0.000    0.000    0.000    0.000 ops.py:449(na_op)
        4    0.000    0.000    0.000    0.000 internals.py:371(_try_cast_result)
        8    0.000    0.000    0.000    0.000 generic.py:1014(_indexer)
        5    0.000    0.000    0.000    0.000 index.py:222(view)
       27    0.000    0.000    0.000    0.000 internals.py:3082(_block)
        1    0.000    0.000    0.000    0.000 {built-in method mul}
        2    0.000    0.000    0.000    0.000 indexing.py:139(_convert_tuple)
        4    0.000    0.000    0.000    0.000 frame.py:1982(_box_item_values)
       10    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:50(_path_join)
        7    0.000    0.000    0.000    0.000 generic.py:284(_get_axis_number)
        4    0.000    0.000    0.000    0.000 generic.py:1099(_maybe_update_cacher)
       19    0.000    0.000    0.000    0.000 series.py:984(values)
        2    0.000    0.000    0.001    0.000 generic.py:1626(_reindex_axes)
       22    0.000    0.000    0.000    0.000 internals.py:208(iget)
        4    0.000    0.000    0.000    0.000 internals.py:435(copy)
        2    0.000    0.000    0.000    0.000 generic.py:238(_construct_axes_from_arguments)
       15    0.000    0.000    0.000    0.000 index.py:443(values)
       14    0.000    0.000    0.000    0.000 common.py:2248(_get_dtype_type)
        4    0.000    0.000    0.000    0.000 index.py:1327(_possibly_promote)
        8    0.000    0.000    0.000    0.000 {method 'clear' of 'dict' objects}
       10    0.000    0.000    0.000    0.000 _methods.py:37(_any)
        2    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:1902(_get_spec)
       13    0.000    0.000    0.000    0.000 {method 'format' of 'str' objects}
    22/20    0.000    0.000    0.000    0.000 {built-in method iter}
       10    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:52(<listcomp>)
        1    0.000    0.000    0.000    0.000 {method 'choice' of 'mtrand.RandomState' objects}
       27    0.000    0.000    0.000    0.000 internals.py:3086(_values)
        4    0.000    0.000    0.000    0.000 common.py:1778(_possibly_cast_to_datetime)
        1    0.000    0.000    0.000    0.000 internals.py:1909(__init__)
        4    0.000    0.000    0.000    0.000 indexing.py:1120(_has_valid_type)
        4    0.000    0.000    0.000    0.000 {built-in method arange}
        4    0.000    0.000    0.000    0.000 series.py:238(from_array)
        4    0.000    0.000    0.000    0.000 series.py:956(__iter__)
       12    0.000    0.000    0.000    0.000 common.py:2345(is_list_like)
       28    0.000    0.000    0.000    0.000 internals.py:1952(<genexpr>)
        6    0.000    0.000    0.000    0.000 generic.py:1931(_protect_consolidate)
        8    0.000    0.000    0.000    0.000 {method 'any' of 'numpy.ndarray' objects}
       12    0.000    0.000    0.000    0.000 index.py:199(is_)
        2    0.000    0.000    0.000    0.000 internals.py:2874(_slice_take_blocks_ax0)
        4    0.000    0.000    0.000    0.000 common.py:884(_infer_dtype_from_scalar)
        1    0.000    0.000    0.000    0.000 internals.py:2865(<listcomp>)
        1    0.000    0.000    0.000    0.000 {pandas.algos.take_2d_axis1_float64_float64}
        1    0.000    0.000    0.001    0.001 frame.py:1697(_getitem_array)
       10    0.000    0.000    0.000    0.000 internals.py:95(make_block_same_class)
        2    0.000    0.000    0.000    0.000 series.py:74(f)
        2    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:274(_get_module_lock)
        2    0.000    0.000    0.000    0.000 common.py:1110(_possibly_downcast_to_dtype)
        2    0.000    0.000    0.000    0.000 generic.py:104(_validate_dtype)
        2    0.000    0.000    0.000    0.000 indexing.py:134(_is_nested_tuple_indexer)
        8    0.000    0.000    0.000    0.000 generic.py:1122(_clear_item_cache)
        3    0.000    0.000    0.000    0.000 generic.py:1142(_set_is_copy)
        2    0.000    0.000    0.001    0.000 series.py:2031(reindex)
        1    0.000    0.000    0.000    0.000 internals.py:2117(_verify_integrity)
        2    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:192(acquire)
        1    0.000    0.000    0.000    0.000 expressions.py:174(_bool_arith_check)
        4    0.000    0.000    0.000    0.000 generic.py:1870(_consolidate_inplace)
        2    0.000    0.000    0.000    0.000 {pandas.lib.is_bool_array}
        6    0.000    0.000    0.000    0.000 frame.py:1680(_getitem_column)
        4    0.000    0.000    0.000    0.000 generic.py:1061(_set_as_cached)
        4    0.000    0.000    0.000    0.000 index.py:844(equals)
        2    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:172(__init__)
        2    0.000    0.000    0.000    0.000 {pandas.algos.take_1d_object_object}
        4    0.000    0.000    0.000    0.000 internals.py:2215(setitem)
        2    0.000    0.000    0.000    0.000 index.py:1369(reindex)
       12    0.000    0.000    0.000    0.000 {built-in method min}
        1    0.000    0.000    0.000    0.000 frame.py:189(__init__)
        4    0.000    0.000    0.000    0.000 numerictypes.py:736(issubdtype)
        8    0.000    0.000    0.000    0.000 index.py:1915(equals)
        3    0.000    0.000    0.000    0.000 common.py:300(array_equivalent)
        4    0.000    0.000    0.000    0.000 frame.py:1989(_box_col_values)
        8    0.000    0.000    0.000    0.000 series.py:311(dtype)
        2    0.000    0.000    0.001    0.000 indexing.py:73(_get_label)
       20    0.000    0.000    0.000    0.000 internals.py:2025(_get_items)
        4    0.000    0.000    0.000    0.000 internals.py:181(ftype)
        2    0.000    0.000    0.000    0.000 internals.py:1247(is_bool)
       24    0.000    0.000    0.000    0.000 {method 'append' of 'list' objects}
        2    0.000    0.000    0.001    0.000 ops.py:524(na_op)
        1    0.000    0.000    0.000    0.000 {built-in method warn}
        6    0.000    0.000    0.000    0.000 index.py:479(_convert_scalar_indexer)
        2    0.000    0.000    0.000    0.000 {pandas.lib.is_datetime_array}
        2    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:261(__enter__)
        8    0.000    0.000    0.000    0.000 internals.py:3145(dtype)
        6    0.000    0.000    0.000    0.000 index.py:365(_set_names)
       14    0.000    0.000    0.000    0.000 internals.py:177(dtype)
        2    0.000    0.000    0.001    0.000 indexing.py:887(_reindex)
        2    0.000    0.000    0.000    0.000 {built-in method sorted}
        4    0.000    0.000    0.000    0.000 internals.py:2409(<listcomp>)
        2    0.000    0.000    0.000    0.000 internals.py:1037(_can_hold_element)
       13    0.000    0.000    0.000    0.000 internals.py:1954(ndim)
        4    0.000    0.000    0.000    0.000 index.py:611(_convert_list_indexer_for_mixed)
        2    0.000    0.000    0.000    0.000 internals.py:4079(_preprocess_slice_or_indexer)
        2    0.000    0.000    0.000    0.000 index.py:672(is_all_dates)
        6    0.000    0.000    0.000    0.000 {pandas.lib.isscalar}
        5    0.000    0.000    0.000    0.000 internals.py:2119(<genexpr>)
        7    0.000    0.000    0.000    0.000 numeric.py:464(asanyarray)
       14    0.000    0.000    0.000    0.000 {pandas.lib.is_float}
        4    0.000    0.000    0.000    0.000 index.py:352(dtype)
       21    0.000    0.000    0.000    0.000 {built-in method hash}
        2    0.000    0.000    0.000    0.000 indexing.py:1492(_length_of_indexer)
        4    0.000    0.000    0.000    0.000 internals.py:415(_try_coerce_and_cast_result)
       20    0.000    0.000    0.000    0.000 {method 'rstrip' of 'str' objects}
        4    0.000    0.000    0.000    0.000 _methods.py:34(_prod)
        2    0.000    0.000    0.000    0.000 internals.py:1068(should_store)
        2    0.000    0.000    0.000    0.000 index.py:652(_engine)
        4    0.000    0.000    0.000    0.000 generic.py:378(ndim)
        2    0.000    0.000    0.001    0.000 series.py:2035(reindex_axis)
        1    0.000    0.000    0.000    0.000 indexing.py:1556(_check_bool_indexer)
        2    0.000    0.000    0.000    0.000 generic.py:1609(<listcomp>)
        2    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:217(release)
       10    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:518(_verbose_message)
        1    0.000    0.000    0.000    0.000 internals.py:2297(_consolidate_check)
        6    0.000    0.000    0.000    0.000 internals.py:771(get_values)
        4    0.000    0.000    0.000    0.000 index.py:1359(_get_method)
        1    0.000    0.000    0.000    0.000 common.py:421(wrapper)
        6    0.000    0.000    0.000    0.000 index.py:464(is_integer)
        8    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:2124(__exit__)
        4    0.000    0.000    0.000    0.000 {method 'ravel' of 'numpy.ndarray' objects}
        6    0.000    0.000    0.000    0.000 internals.py:2289(is_consolidated)
        2    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:790(__init__)
        2    0.000    0.000    0.000    0.000 internals.py:2320(is_view)
        2    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:68(_path_stat)
        3    0.000    0.000    0.000    0.000 generic.py:314(_get_block_manager_axis)
        4    0.000    0.000    0.000    0.000 generic.py:1871(<lambda>)
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@jiffyclub
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@jeffalstott That's probably plenty big to bog down the current release of SnakeViz. I'm working as we speak on a new release that should be out in the next couple weeks that will improve performance. It's still rough, but you're welcome to give it a try if you're feeling adventurous. The branch I'm working on is at https://github.com/jiffyclub/snakeviz/tree/v2.

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@kiddrew @jiffyclub @jeffalstott