ncalls  tottime  percall  cumtime  percall filename:lineno(function)
     7272    9.356    0.001   29.932    0.004 {method 'Parse' of 'pyexpat.xmlparser' objects}
    55182    8.273    0.000   10.793    0.000 xlsx.py:622(do_row)
  5863963    8.101    0.000   13.324    0.000 ElementTree.py:1544(_start)
 19456286    3.468    0.000    3.468    0.000 ElementTree.py:1533(_fixname)
        1    2.929    2.929   46.638   46.638 xlsx.py:543(own_process_stream)
  5863963    2.674    0.000    4.277    0.000 ElementTree.py:1556(_end)
  5871051    2.598    0.000    3.661    0.000 ElementTree.py:1287(read_events)
  5863963    2.572    0.000    2.572    0.000 {method 'start' of 'xml.etree.ElementTree.TreeBuilder' objects}
  5863787    2.508    0.000    7.251    0.000 ElementTree.py:1512(handler)
  2430336    1.392    0.000    1.415    0.000 sheet.py:696(put_cell_unragged)
  8642112    1.142    0.000    1.142    0.000 {method 'get' of 'xml.etree.ElementTree.Element' objects}
       50    1.059    0.021    1.059    0.021 {pandas._libs.lib.maybe_convert_numeric}
  5863790    1.037    0.000   35.467    0.000 ElementTree.py:1219(iterator)
    55182    0.773    0.000    1.436    0.000 _xlrd.py:101(<listcomp>)
  2759100    0.663    0.000    0.663    0.000 _xlrd.py:59(_parse_cell)
5868195/5868192    0.634    0.000    0.635    0.000 {built-in method builtins.isinstance}
  5863963    0.546    0.000    0.546    0.000 {method 'end' of 'xml.etree.ElementTree.TreeBuilder' objects}
  5863787    0.467    0.000    0.467    0.000 {method 'append' of 'collections.deque' objects}
        1    0.443    0.443    4.291    4.291 xlsx.py:432(process_stream_iterparse)
  5863787    0.431    0.000    0.431    0.000 {method 'popleft' of 'collections.deque' objects}
   364712    0.412    0.000    0.412    0.000 {method 'clear' of 'xml.etree.ElementTree.Element' objects}
   309532    0.322    0.000    0.474    0.000 xlsx.py:143(cooked_text)
     7265    0.319    0.000    0.319    0.000 {method 'decompress' of 'zlib.Decompress' objects}
   309530    0.312    0.000    0.850    0.000 xlsx.py:151(get_text_from_si_or_is)
2977706/2977491    0.254    0.000    0.254    0.000 {built-in method builtins.len}
     7272    0.129    0.000    0.129    0.000 {built-in method zlib.crc32}
       17    0.121    0.007    0.121    0.007 {pandas._libs.parsers.sanitize_objects}
       32    0.105    0.003    0.105    0.003 {pandas._libs.lib.infer_dtype}
     4022    0.101    0.000    0.101    0.000 {method 'read' of '_io.BufferedReader' objects}
   840363    0.092    0.000    0.092    0.000 {method 'append' of 'list' objects}
     7265    0.092    0.000    0.750    0.000 zipfile.py:987(_read1)
        1    0.084    0.084    1.593    1.593 _xlrd.py:48(get_sheet_data)
        2    0.065    0.033    0.070    0.035 managers.py:1854(_stack_arrays)
        1    0.060    0.060    0.060    0.060 {pandas._libs.lib.to_object_array}
     7272    0.051    0.000    0.806    0.000 zipfile.py:907(read)
   309533    0.048    0.000    0.051    0.000 xlsx.py:136(unescape)
    55182    0.044    0.000    0.044    0.000 sheet.py:491(row_values)
   309532    0.038    0.000    0.038    0.000 {method 'strip' of 'str' objects}
        5    0.033    0.007    0.105    0.021 {pandas._libs.lib.map_infer_mask}
   309944    0.029    0.000    0.029    0.000 {method 'join' of 'str' objects}
   124718    0.027    0.000    0.027    0.000 {method 'replace' of 'str' objects}
       16    0.027    0.002    0.027    0.002 {method 'copy' of 'numpy.ndarray' objects}
   309539    0.027    0.000    0.027    0.000 timemachine.py:32(<lambda>)
     4018    0.026    0.000    0.162    0.000 zipfile.py:747(read)
    55182    0.024    0.000    0.024    0.000 sheet.py:483(row_types)
     4026    0.024    0.000    0.024    0.000 {method 'tell' of '_io.BufferedReader' objects}
        1    0.022    0.022    3.076    3.076 _base.py:391(parse)
   124692    0.020    0.000    0.047    0.000 strings.py:630(<lambda>)
     4013    0.019    0.000    0.187    0.000 zipfile.py:1023(_read2)
     7265    0.018    0.000   29.950    0.004 ElementTree.py:1627(feed)
        2    0.016    0.008    0.016    0.008 {pandas._libs.algos.take_2d_axis1_object_object}
        1    0.016    0.016   54.302   54.302 inputs.py:17(get_schools_dataset)
        4    0.016    0.004    0.022    0.006 parsers.py:2976(_remove_empty_lines)
    11282    0.015    0.000    0.027    0.000 {built-in method builtins.max}
     7260    0.015    0.000   29.964    0.004 ElementTree.py:1263(feed)
     7265    0.015    0.000    0.144    0.000 zipfile.py:940(_update_crc)
    83236    0.013    0.000    0.013    0.000 {method 'lower' of 'str' objects}
    83128    0.012    0.000    0.025    0.000 strings.py:3237(<lambda>)
      155    0.012    0.000    0.012    0.000 {built-in method nt.stat}
        1    0.011    0.011   50.960   50.960 xlsx.py:784(open_workbook_2007_xml)
        2    0.011    0.005    0.011    0.005 {pandas._libs.algos.take_2d_axis1_float64_float64}
       32    0.009    0.000    0.009    0.000 {built-in method numpy.empty}
    55182    0.008    0.000    0.011    0.000 parsers.py:3111(<genexpr>)
    55277    0.008    0.000    0.008    0.000 timemachine.py:19(<lambda>)
     4022    0.008    0.000    0.008    0.000 {method 'seek' of '_io.BufferedReader' objects}
        6    0.007    0.001    0.007    0.001 {built-in method pandas._libs.missing.isnaobj}
        2    0.007    0.003    0.012    0.006 blocks.py:3322(_merge_blocks)
    38/26    0.006    0.000    0.006    0.000 {built-in method numpy.core._multiarray_umath.implement_array_function}
        3    0.005    0.002    0.005    0.002 {built-in method _imp.create_dynamic}
       32    0.004    0.000    0.004    0.000 {built-in method marshal.loads}
     4018    0.004    0.000    0.004    0.000 zipfile.py:1516(<lambda>)
       48    0.003    0.000    0.003    0.000 {method 'reduce' of 'numpy.ufunc' objects}
       32    0.003    0.000    0.003    0.000 {method 'read' of '_io.FileIO' objects}
     1896    0.003    0.000    0.003    0.000 {method 'sub' of 're.Pattern' objects}
        5    0.003    0.001    0.003    0.001 blocks.py:372(set)
       32    0.003    0.000    0.006    0.000 <frozen importlib._bootstrap_external>:914(get_data)
       39    0.002    0.000    0.011    0.000 missing.py:219(_isna_ndarraylike)
     4068    0.002    0.000    0.002    0.000 {built-in method builtins.min}
        2    0.002    0.001    0.002    0.001 range.py:381(get_indexer)
        7    0.001    0.000    0.012    0.002 frame.py:3473(__setitem__)
       45    0.001    0.000    0.002    0.000 generic.py:5181(__setattr__)
        1    0.001    0.001    0.024    0.024 parsers.py:3178(_get_lines)
       82    0.001    0.000    0.002    0.000 {built-in method builtins.__build_class__}
     2349    0.001    0.000    0.001    0.000 generic.py:7(_check)
       70    0.001    0.000    0.013    0.000 <frozen importlib._bootstrap_external>:1356(find_spec)
        6    0.001    0.000    0.001    0.000 {built-in method nt.listdir}
       50    0.001    0.000    1.190    0.024 parsers.py:1768(_infer_types)
     3785    0.001    0.000    0.001    0.000 {built-in method builtins.getattr}
        1    0.001    0.001    1.459    1.459 parsers.py:1152(read)
       79    0.001    0.000    0.001    0.000 {method 'extend' of 'list' objects}
        1    0.001    0.001    1.191    1.191 parsers.py:1685(_convert_to_ndarrays)
      718    0.001    0.000    0.001    0.000 {built-in method builtins.hasattr}
      352    0.001    0.000    0.001    0.000 common.py:1743(is_extension_array_dtype)
        6    0.001    0.000    0.001    0.000 <frozen importlib._bootstrap_external>:1190(_path_hooks)
   141/16    0.001    0.000    0.001    0.000 {built-in method _abc._abc_subclasscheck}
       17    0.001    0.000    0.001    0.000 {pandas._libs.ops.maybe_convert_bool}
      517    0.001    0.000    0.002    0.000 base.py:231(is_dtype)
       32    0.000    0.000    0.014    0.000 <frozen importlib._bootstrap_external>:793(get_code)
        3    0.000    0.000    0.000    0.000 {method 'nonzero' of 'numpy.ndarray' objects}
      130    0.000    0.000    0.001    0.000 _dtype.py:333(_name_get)
        1    0.000    0.000    1.292    1.292 parsers.py:2464(read)
      354    0.000    0.000    0.001    0.000 dtypes.py:83(find)
        1    0.000    0.000    0.001    0.001 function_base.py:4218(delete)
       60    0.000    0.000    0.097    0.002 construction.py:630(sanitize_array)
      119    0.000    0.000    0.001    0.000 {pandas._libs.lib.is_scalar}
       37    0.000    0.000    0.015    0.000 <frozen importlib._bootstrap>:882(_find_spec)
     38/5    0.000    0.000    0.044    0.009 <frozen importlib._bootstrap>:978(_find_and_load)
      280    0.000    0.000    0.001    0.000 common.py:1886(_is_dtype_type)
        7    0.000    0.000    0.001    0.000 managers.py:216(_rebuild_blknos_and_blklocs)
        7    0.000    0.000    0.006    0.001 managers.py:1031(set)
     15/6    0.000    0.000    0.001    0.000 sre_parse.py:469(_parse)
      346    0.000    0.000    0.001    0.000 <frozen importlib._bootstrap_external>:56(_path_join)
  188/183    0.000    0.000    0.000    0.000 {built-in method numpy.array}
       18    0.000    0.000    0.000    0.000 {built-in method numpy.arange}
      346    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap_external>:58(<listcomp>)
       64    0.000    0.000    0.001    0.000 <frozen importlib._bootstrap_external>:271(cache_from_source)
       59    0.000    0.000    0.001    0.000 cast.py:866(maybe_castable)
     12/9    0.000    0.000    0.002    0.000 base.py:277(__new__)
  147/136    0.000    0.000    0.001    0.000 {method 'format' of 'str' objects}
      139    0.000    0.000    0.001    0.000 {built-in method _abc._abc_instancecheck}
        1    0.000    0.000    0.000    0.000 indexers.py:161(maybe_convert_indices)
     1373    0.000    0.000    0.000    0.000 {built-in method builtins.issubclass}
        1    0.000    0.000    0.000    0.000 {built-in method sys.getwindowsversion}
       65    0.000    0.000    0.002    0.000 blocks.py:3212(get_block_type)
        1    0.000    0.000    0.000    0.000 {method 'take' of 'numpy.ndarray' objects}
        1    0.000    0.000    0.001    0.001 necompiler.py:765(evaluate)
       36    0.000    0.000    0.014    0.000 <frozen importlib._bootstrap_external>:1240(_get_spec)
       49    0.000    0.000    0.013    0.000 missing.py:128(_isna_new)
     32/5    0.000    0.000    0.040    0.008 <frozen importlib._bootstrap_external>:722(exec_module)
    20/19    0.000    0.000    0.007    0.000 series.py:197(__init__)
      112    0.000    0.000    0.000    0.000 common.py:255(is_sparse)
       36    0.000    0.000    0.001    0.000 <frozen importlib._bootstrap>:504(_init_module_attrs)
       64    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap_external>:62(_path_split)
     36/5    0.000    0.000    0.040    0.008 <frozen importlib._bootstrap>:663(_load_unlocked)
       50    0.000    0.000    0.001    0.000 <frozen importlib._bootstrap>:157(_get_module_lock)
       77    0.000    0.000    0.000    0.000 {built-in method _thread.allocate_lock}
       25    0.000    0.000    0.001    0.000 cast.py:986(maybe_cast_to_datetime)
        1    0.000    0.000    0.000    0.000 {built-in method numexpr.interpreter._set_num_threads}
       22    0.000    0.000    0.000    0.000 {pandas._libs.lib.infer_datetimelike_array}
  298/278    0.000    0.000    0.011    0.000 <frozen importlib._bootstrap>:1009(_handle_fromlist)
       60    0.000    0.000    0.003    0.000 construction.py:759(_try_cast)
     37/5    0.000    0.000    0.044    0.009 <frozen importlib._bootstrap>:948(_find_and_load_unlocked)
      121    0.000    0.000    0.001    0.000 dtypes.py:912(is_dtype)
       22    0.000    0.000    0.001    0.000 cast.py:880(maybe_infer_to_datetimelike)
        1    0.000    0.000    0.021    0.021 frame.py:3852(_reindex_axes)
       32    0.000    0.000    0.001    0.000 blocks.py:120(__init__)
      364    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:222(_verbose_message)
        1    0.000    0.000    0.093    0.093 construction.py:300(_homogenize)
       10    0.000    0.000    0.018    0.002 frame.py:2964(__getitem__)
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       32    0.000    0.000    0.002    0.000 blocks.py:3258(make_block)
       50    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:78(acquire)
       50    0.000    0.000    0.001    0.000 {pandas._libs.lib.is_list_like}
      180    0.000    0.000    0.001    0.000 common.py:539(is_datetime64tz_dtype)
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       35    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap_external>:574(spec_from_file_location)
       29    0.000    0.000    0.000    0.000 expressions.py:195(func)
      137    0.000    0.000    0.000    0.000 common.py:225(is_object_dtype)
      130    0.000    0.000    0.000    0.000 _dtype.py:319(_name_includes_bit_suffix)
       27    0.000    0.000    0.000    0.000 {method 'get_loc' of 'pandas._libs.index.IndexEngine' objects}
       50    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:103(release)
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      155    0.000    0.000    0.012    0.000 <frozen importlib._bootstrap_external>:74(_path_stat)
       85    0.000    0.000    0.000    0.000 dtypes.py:1092(is_dtype)
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       54    0.000    0.000    0.000    0.000 expressions.py:89(ophelper)
       32    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap_external>:438(_classify_pyc)
      139    0.000    0.000    0.001    0.000 common.py:678(is_categorical_dtype)
       91    0.000    0.000    0.000    0.000 common.py:711(is_string_dtype)
       32    0.000    0.000    0.000    0.000 blocks.py:243(mgr_locs)
       32    0.000    0.000    0.004    0.000 <frozen importlib._bootstrap_external>:523(_compile_bytecode)
       37    0.000    0.000    0.000    0.000 common.py:1284(is_datetime_or_timedelta_dtype)
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       58    0.000    0.000    0.000    0.000 numerictypes.py:365(issubdtype)
       19    0.000    0.000    0.001    0.000 managers.py:1470(__init__)
       36    0.000    0.000    0.006    0.000 <frozen importlib._bootstrap>:576(module_from_spec)
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       79    0.000    0.000    0.000    0.000 common.py:2020(pandas_dtype)
       77    0.000    0.000    0.001    0.000 <frozen importlib._bootstrap_external>:1203(_path_importer_cache)
       36    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:318(__exit__)
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        8    0.000    0.000    0.000    0.000 ElementTree.py:1448(__init__)
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       50    0.000    0.000    0.000    0.000 managers.py:1857(_asarray_compat)
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       38    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:58(__init__)
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       98    0.000    0.000    0.000    0.000 common.py:1825(_is_dtype)
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       67    0.000    0.000    0.001    0.000 <frozen importlib._bootstrap>:403(cached)
       41    0.000    0.000    0.000    0.000 common.py:741(condition)
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       93    0.000    0.000    0.001    0.000 common.py:642(is_interval_dtype)
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       38    0.000    0.000    0.001    0.000 <frozen importlib._bootstrap>:147(__enter__)
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       26    0.000    0.000    0.000    0.000 managers.py:167(shape)
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