SYMBOL INDEX (60 symbols across 4 files)

FILE: pandas_log/aop_utils.py
  function set_df_attr (line 10) | def set_df_attr(df, attr_name, attr_value):
  function append_df_attr (line 22) | def append_df_attr(df, attr_name, attr_value):
  function get_df_attr (line 34) | def get_df_attr(df, attr_name, default_val):
  function get_pandas_func (line 43) | def get_pandas_func(cls, func, prefix=settings.ORIGINAL_METHOD_PREFIX):
  function get_signature_repr (line 56) | def get_signature_repr(cls, fn, args, full_signature=True):
  function _raise_on_bad_class (line 103) | def _raise_on_bad_class(cls):
  function restore_pandas_func_copy (line 109) | def restore_pandas_func_copy(
  function keep_pandas_func_copy (line 125) | def keep_pandas_func_copy(cls, func, prefix=settings.ORIGINAL_METHOD_PRE...
  function calc_step_number (line 139) | def calc_step_number(method_name, input_df):

FILE: pandas_log/pandas_execution_stats.py
  function get_execution_stats (line 27) | def get_execution_stats(cls, fn, input_df, fn_args, fn_kwargs, calculate...
  class StepStats (line 52) | class StepStats:
    method __init__ (line 53) | def __init__(
    method calc_df_series_memory (line 85) | def calc_df_series_memory(df_or_series):
    method persist_execution_stats (line 95) | def persist_execution_stats(self):
    method log_stats_if_needed (line 100) | def log_stats_if_needed(self, silent, verbose, copy_ok):
    method get_logs_for_specifc_method (line 114) | def get_logs_for_specifc_method(self, verbose, copy_ok):
    method _repr_html_ (line 133) | def _repr_html_(self):
    method __repr__ (line 136) | def __repr__(self, verbose, copy_ok):

FILE: pandas_log/pandas_log.py
  function auto_disable (line 25) | def auto_disable():
  function enable (line 42) | def enable(
  function auto_enable (line 65) | def auto_enable(
  function create_overide_pandas_func (line 111) | def create_overide_pandas_func(

FILE: pandas_log/patched_logs_functions.py
  function _stringify_list (line 69) | def _stringify_list(l):
  function rows_removed (line 73) | def rows_removed(input_df, output_df):
  function rows_removed_pct (line 77) | def rows_removed_pct(input_df, output_df):
  function rows_remaining (line 81) | def rows_remaining(output_df):
  function cols_removed (line 85) | def cols_removed(input_df, output_df):
  function cols_remaining (line 91) | def cols_remaining(output_df):
  function is_same_cols (line 95) | def is_same_cols(input_df, output_df):
  function columns_changed (line 99) | def columns_changed(df, cols):
  function columns_added (line 103) | def columns_added(df, cols):
  function is_same_rows (line 107) | def is_same_rows(input_df, output_df):
  function num_of_na (line 111) | def num_of_na(df):
  function str_new_columns (line 115) | def str_new_columns(input_df, output_df):
  function num_new_columns (line 121) | def num_new_columns(input_df, output_df):
  function num_values_changed (line 125) | def num_values_changed(input_obj, output_obj):
  function get_filter_rows_logs (line 149) | def get_filter_rows_logs(input_df, output_df):
  function log_default (line 163) | def log_default(output_df, input_df, *args, **kwargs):
  function log_no_message (line 188) | def log_no_message(output_df, input_df, *args, **kwargs):
  function log_drop (line 192) | def log_drop(
  function log_dropna (line 218) | def log_dropna(
  function log_assign (line 241) | def log_assign(output_df, input_df, **kwargs):
  function log___setitem__ (line 283) | def log___setitem__(output_df, input_df, key, value, **kwargs):
  function log_query (line 295) | def log_query(output_df, input_df, expr, inplace=False, *args, **kwargs):
  function log_sort_index (line 300) | def log_sort_index(
  function log_sort_values (line 318) | def log_sort_values(
  function log_tail (line 336) | def log_tail(output_df, input_df, n=5, **kwargs):
  function log_head (line 342) | def log_head(output_df, input_df, n=5, **kwargs):
  function log_merge (line 348) | def log_merge(
  function log_applymap (line 400) | def log_applymap(output_df, input_df, func, **kwargs):
  function log_join (line 408) | def log_join(
  function log_fillna (line 440) | def log_fillna(
  function log_mask (line 461) | def log_mask(
  function log_where (line 496) | def log_where(
  function log_sample (line 524) | def log_sample(
  function log_nlargest (line 541) | def log_nlargest(output_df, input_df, n, columns, keep="first", **kwargs):
  function log_nsmallest (line 548) | def log_nsmallest(output_df, input_df, n, columns, keep="first", **kwargs):
  function log_groupby (line 554) | def log_groupby(
  function log__iterrows (line 578) | def log__iterrows(output_df, input_df):
  function log___getitem__ (line 584) | def log___getitem__(output_df, input_df, key, *args, **kwargs):