BUG: Parsing week-freq Periods
State: closed

@lithomas1 IIRC youve spent some time recently in optimizing this portion of the constructor.  I'm open to ideas on optimize this check or do it as the fallback rather than up-front.

The reason it is currently up-front is bc ATM `parse_datetime_string_with_reso` gets this wrong, bc dateutil gets it wrong.  Following #50790, we could move the `if dt.tzinfo is not None:` check from `parse_datetime_string` into `parse_dateutil`, at which point `parse_datetime_string_with_reso` would raise instead of return something incorrect (at least for some cases, I think others might get through).

Labels:
name: Period
description: Period data type

Comments:
Not too familiar with datetime stuff in general, but from reading the code it seems like week-freq Periods have a fixed length?

Then maybe we could check if the middle is a "/", and then try to send it down string_to_dts twice(by inserting a null character to terminate the c-str where the slash is, and then calling again passing in the char pointer after)?
I'm not too concerned about perf of this particular case (though it can certainly be optimized), more about the fact that pre-checking for it with re.search will mean a perf hit for all other cases.

Current thought is to wait for #50790, then re-arrange this to do this check as a fallback rather than upfront.
Does this conflict with #50149? If not, we might also want to get that one in first, since it touches the same lines of code.
This can definitely wait until after #50149 and ill rebase then.
Updated to sit on top of #50790 and do the week-checking case as a fallback instead of up-front
@MarcoGorelli gentle ping on this and #50914, not time-sensitive but blockery for further work in this area
sure, taking a look today, thanks for the ping (in general, please do feel free to ping / request reviews from me when necessary, with all the activity in this repo it's easy to miss things otherwise)
Thanks @jbrockmendel 
Could this have caused regressions in read_json?

https://asv-runner.github.io/asv-collection/pandas/#io.json.ReadJSONLines.peakmem_read_json_lines_concat ant others
It doesn't look like that benchmark does any period parsing, so it seems unlikely.
I'm seeing this PR as being flagged for over 400 regressions. This sometimes happens when dependencies change, but as far as I can tell that didn't happen here. Every regression is memory use, not performance.

<details>
<summary>Regressions</summary>

 - [algorithms.DuplicatedMaskedArray.time_duplicated](https://asv-runner.github.io/asv-collection/pandas/#algorithms.DuplicatedMaskedArray.time_duplicated)
   - [unique=False; keep='first'; dtype='Float64'](https://asv-runner.github.io/asv-collection/pandas/#algorithms.DuplicatedMaskedArray.time_duplicated?p-unique=False&p-keep=%27first%27&p-dtype=%27Float64%27)
   - [unique=False; keep=False; dtype='Float64'](https://asv-runner.github.io/asv-collection/pandas/#algorithms.DuplicatedMaskedArray.time_duplicated?p-unique=False&p-keep=False&p-dtype=%27Float64%27)
   - [unique=False; keep=False; dtype='Int64'](https://asv-runner.github.io/asv-collection/pandas/#algorithms.DuplicatedMaskedArray.time_duplicated?p-unique=False&p-keep=False&p-dtype=%27Int64%27)
 - [arithmetic.BinaryOpsMultiIndex.time_binary_op_multiindex](https://asv-runner.github.io/asv-collection/pandas/#arithmetic.BinaryOpsMultiIndex.time_binary_op_multiindex)
   - [func='add'](https://asv-runner.github.io/asv-collection/pandas/#arithmetic.BinaryOpsMultiIndex.time_binary_op_multiindex?p-func=%27add%27)
   - [func='div'](https://asv-runner.github.io/asv-collection/pandas/#arithmetic.BinaryOpsMultiIndex.time_binary_op_multiindex?p-func=%27div%27)
   - [func='mul'](https://asv-runner.github.io/asv-collection/pandas/#arithmetic.BinaryOpsMultiIndex.time_binary_op_multiindex?p-func=%27mul%27)
 - [frame_methods.Iteration.peakmem_itertuples](https://asv-runner.github.io/asv-collection/pandas/#frame_methods.Iteration.peakmem_itertuples)
 - [frame_methods.Iteration.peakmem_itertuples_raw](https://asv-runner.github.io/asv-collection/pandas/#frame_methods.Iteration.peakmem_itertuples_raw)
 - [frame_methods.Iteration.peakmem_itertuples_raw_read_first](https://asv-runner.github.io/asv-collection/pandas/#frame_methods.Iteration.peakmem_itertuples_raw_read_first)
 - [frame_methods.Iteration.peakmem_itertuples_raw_start](https://asv-runner.github.io/asv-collection/pandas/#frame_methods.Iteration.peakmem_itertuples_raw_start)
 - [frame_methods.Iteration.peakmem_itertuples_start](https://asv-runner.github.io/asv-collection/pandas/#frame_methods.Iteration.peakmem_itertuples_start)
 - [hash_functions.Float64GroupIndex.time_groupby](https://asv-runner.github.io/asv-collection/pandas/#hash_functions.Float64GroupIndex.time_groupby)
 - [index_object.GC.peakmem_gc_instances](https://asv-runner.github.io/asv-collection/pandas/#index_object.GC.peakmem_gc_instances)
   - [param1=1](https://asv-runner.github.io/asv-collection/pandas/#index_object.GC.peakmem_gc_instances?p-param1=1)
   - [param1=2](https://asv-runner.github.io/asv-collection/pandas/#index_object.GC.peakmem_gc_instances?p-param1=2)
   - [param1=5](https://asv-runner.github.io/asv-collection/pandas/#index_object.GC.peakmem_gc_instances?p-param1=5)
 - [io.hdf.HDF.peakmem_read_hdf](https://asv-runner.github.io/asv-collection/pandas/#io.hdf.HDF.peakmem_read_hdf)
   - [format='fixed'](https://asv-runner.github.io/asv-collection/pandas/#io.hdf.HDF.peakmem_read_hdf?p-format=%27fixed%27)
   - [format='table'](https://asv-runner.github.io/asv-collection/pandas/#io.hdf.HDF.peakmem_read_hdf?p-format=%27table%27)
 - [io.json.ReadJSONLines.peakmem_read_json_lines](https://asv-runner.github.io/asv-collection/pandas/#io.json.ReadJSONLines.peakmem_read_json_lines)
   - [index='datetime'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ReadJSONLines.peakmem_read_json_lines?p-index=%27datetime%27)
   - [index='int'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ReadJSONLines.peakmem_read_json_lines?p-index=%27int%27)
 - [io.json.ReadJSONLines.peakmem_read_json_lines_concat](https://asv-runner.github.io/asv-collection/pandas/#io.json.ReadJSONLines.peakmem_read_json_lines_concat)
   - [index='datetime'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ReadJSONLines.peakmem_read_json_lines_concat?p-index=%27datetime%27)
   - [index='int'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ReadJSONLines.peakmem_read_json_lines_concat?p-index=%27int%27)
 - [io.json.ReadJSONLines.peakmem_read_json_lines_nrows](https://asv-runner.github.io/asv-collection/pandas/#io.json.ReadJSONLines.peakmem_read_json_lines_nrows)
   - [index='datetime'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ReadJSONLines.peakmem_read_json_lines_nrows?p-index=%27datetime%27)
   - [index='int'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ReadJSONLines.peakmem_read_json_lines_nrows?p-index=%27int%27)
 - [io.json.ToJSON.peakmem_to_json](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json)
   - [orient='columns'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27columns%27&p-frame=%27df%27)
   - [orient='columns'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27columns%27&p-frame=%27df_date_idx%27)
   - [orient='columns'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27columns%27&p-frame=%27df_int_float_str%27)
   - [orient='columns'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27columns%27&p-frame=%27df_int_floats%27)
   - [orient='columns'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27columns%27&p-frame=%27df_td_int_ts%27)
   - [orient='index'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27index%27&p-frame=%27df%27)
   - [orient='index'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27index%27&p-frame=%27df_date_idx%27)
   - [orient='index'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27index%27&p-frame=%27df_int_float_str%27)
   - [orient='index'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27index%27&p-frame=%27df_int_floats%27)
   - [orient='index'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27index%27&p-frame=%27df_td_int_ts%27)
   - [orient='records'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27records%27&p-frame=%27df%27)
   - [orient='records'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27records%27&p-frame=%27df_date_idx%27)
   - [orient='records'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27records%27&p-frame=%27df_int_float_str%27)
   - [orient='records'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27records%27&p-frame=%27df_int_floats%27)
   - [orient='records'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27records%27&p-frame=%27df_td_int_ts%27)
   - [orient='split'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27split%27&p-frame=%27df%27)
   - [orient='split'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27split%27&p-frame=%27df_date_idx%27)
   - [orient='split'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27split%27&p-frame=%27df_int_float_str%27)
   - [orient='split'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27split%27&p-frame=%27df_int_floats%27)
   - [orient='split'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27split%27&p-frame=%27df_td_int_ts%27)
   - [orient='values'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27values%27&p-frame=%27df%27)
   - [orient='values'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27values%27&p-frame=%27df_date_idx%27)
   - [orient='values'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27values%27&p-frame=%27df_int_float_str%27)
   - [orient='values'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27values%27&p-frame=%27df_int_floats%27)
   - [orient='values'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSON.peakmem_to_json?p-orient=%27values%27&p-frame=%27df_td_int_ts%27)
 - [io.json.ToJSONWide.peakmem_to_json](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json)
   - [orient='columns'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27columns%27&p-frame=%27df%27)
   - [orient='columns'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27columns%27&p-frame=%27df_date_idx%27)
   - [orient='columns'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27columns%27&p-frame=%27df_int_float_str%27)
   - [orient='columns'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27columns%27&p-frame=%27df_int_floats%27)
   - [orient='columns'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27columns%27&p-frame=%27df_td_int_ts%27)
   - [orient='index'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27index%27&p-frame=%27df%27)
   - [orient='index'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27index%27&p-frame=%27df_date_idx%27)
   - [orient='index'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27index%27&p-frame=%27df_int_float_str%27)
   - [orient='index'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27index%27&p-frame=%27df_int_floats%27)
   - [orient='index'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27index%27&p-frame=%27df_td_int_ts%27)
   - [orient='records'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27records%27&p-frame=%27df%27)
   - [orient='records'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27records%27&p-frame=%27df_date_idx%27)
   - [orient='records'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27records%27&p-frame=%27df_int_float_str%27)
   - [orient='records'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27records%27&p-frame=%27df_int_floats%27)
   - [orient='records'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27records%27&p-frame=%27df_td_int_ts%27)
   - [orient='split'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27split%27&p-frame=%27df%27)
   - [orient='split'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27split%27&p-frame=%27df_date_idx%27)
   - [orient='split'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27split%27&p-frame=%27df_int_float_str%27)
   - [orient='split'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27split%27&p-frame=%27df_int_floats%27)
   - [orient='split'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27split%27&p-frame=%27df_td_int_ts%27)
   - [orient='values'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27values%27&p-frame=%27df%27)
   - [orient='values'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27values%27&p-frame=%27df_date_idx%27)
   - [orient='values'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27values%27&p-frame=%27df_int_float_str%27)
   - [orient='values'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27values%27&p-frame=%27df_int_floats%27)
   - [orient='values'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json?p-orient=%27values%27&p-frame=%27df_td_int_ts%27)
 - [io.json.ToJSONWide.peakmem_to_json_wide](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide)
   - [orient='columns'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27columns%27&p-frame=%27df%27)
   - [orient='columns'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27columns%27&p-frame=%27df_date_idx%27)
   - [orient='columns'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27columns%27&p-frame=%27df_int_float_str%27)
   - [orient='columns'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27columns%27&p-frame=%27df_int_floats%27)
   - [orient='columns'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27columns%27&p-frame=%27df_td_int_ts%27)
   - [orient='index'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27index%27&p-frame=%27df%27)
   - [orient='index'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27index%27&p-frame=%27df_date_idx%27)
   - [orient='index'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27index%27&p-frame=%27df_int_float_str%27)
   - [orient='index'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27index%27&p-frame=%27df_int_floats%27)
   - [orient='index'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27index%27&p-frame=%27df_td_int_ts%27)
   - [orient='records'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27records%27&p-frame=%27df%27)
   - [orient='records'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27records%27&p-frame=%27df_date_idx%27)
   - [orient='records'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27records%27&p-frame=%27df_int_float_str%27)
   - [orient='records'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27records%27&p-frame=%27df_int_floats%27)
   - [orient='records'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27records%27&p-frame=%27df_td_int_ts%27)
   - [orient='split'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27split%27&p-frame=%27df%27)
   - [orient='split'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27split%27&p-frame=%27df_date_idx%27)
   - [orient='split'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27split%27&p-frame=%27df_int_float_str%27)
   - [orient='split'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27split%27&p-frame=%27df_int_floats%27)
   - [orient='split'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27split%27&p-frame=%27df_td_int_ts%27)
   - [orient='values'; frame='df'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27values%27&p-frame=%27df%27)
   - [orient='values'; frame='df_date_idx'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27values%27&p-frame=%27df_date_idx%27)
   - [orient='values'; frame='df_int_float_str'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27values%27&p-frame=%27df_int_float_str%27)
   - [orient='values'; frame='df_int_floats'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27values%27&p-frame=%27df_int_floats%27)
   - [orient='values'; frame='df_td_int_ts'](https://asv-runner.github.io/asv-collection/pandas/#io.json.ToJSONWide.peakmem_to_json_wide?p-orient=%27values%27&p-frame=%27df_td_int_ts%27)
 - [io.pickle.Pickle.peakmem_read_pickle](https://asv-runner.github.io/asv-collection/pandas/#io.pickle.Pickle.peakmem_read_pickle)
 - [io.pickle.Pickle.peakmem_write_pickle](https://asv-runner.github.io/asv-collection/pandas/#io.pickle.Pickle.peakmem_write_pickle)
 - [io.style.Render.peakmem_apply_format_hide_render](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_format_hide_render)
   - [cols=12; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_format_hide_render?p-cols=12&p-rows=12)
   - [cols=12; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_format_hide_render?p-cols=12&p-rows=120)
   - [cols=24; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_format_hide_render?p-cols=24&p-rows=12)
   - [cols=24; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_format_hide_render?p-cols=24&p-rows=120)
   - [cols=36; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_format_hide_render?p-cols=36&p-rows=12)
   - [cols=36; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_format_hide_render?p-cols=36&p-rows=120)
 - [io.style.Render.peakmem_apply_render](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_render)
   - [cols=12; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_render?p-cols=12&p-rows=12)
   - [cols=12; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_render?p-cols=12&p-rows=120)
   - [cols=24; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_render?p-cols=24&p-rows=12)
   - [cols=24; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_render?p-cols=24&p-rows=120)
   - [cols=36; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_render?p-cols=36&p-rows=12)
   - [cols=36; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_apply_render?p-cols=36&p-rows=120)
 - [io.style.Render.peakmem_classes_render](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_classes_render)
   - [cols=12; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_classes_render?p-cols=12&p-rows=12)
   - [cols=12; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_classes_render?p-cols=12&p-rows=120)
   - [cols=24; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_classes_render?p-cols=24&p-rows=12)
   - [cols=24; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_classes_render?p-cols=24&p-rows=120)
   - [cols=36; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_classes_render?p-cols=36&p-rows=12)
   - [cols=36; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_classes_render?p-cols=36&p-rows=120)
 - [io.style.Render.peakmem_format_render](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_format_render)
   - [cols=12; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_format_render?p-cols=12&p-rows=12)
   - [cols=12; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_format_render?p-cols=12&p-rows=120)
   - [cols=24; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_format_render?p-cols=24&p-rows=12)
   - [cols=24; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_format_render?p-cols=24&p-rows=120)
   - [cols=36; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_format_render?p-cols=36&p-rows=12)
   - [cols=36; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_format_render?p-cols=36&p-rows=120)
 - [io.style.Render.peakmem_tooltips_render](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_tooltips_render)
   - [cols=12; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_tooltips_render?p-cols=12&p-rows=12)
   - [cols=12; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_tooltips_render?p-cols=12&p-rows=120)
   - [cols=24; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_tooltips_render?p-cols=24&p-rows=12)
   - [cols=24; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_tooltips_render?p-cols=24&p-rows=120)
   - [cols=36; rows=12](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_tooltips_render?p-cols=36&p-rows=12)
   - [cols=36; rows=120](https://asv-runner.github.io/asv-collection/pandas/#io.style.Render.peakmem_tooltips_render?p-cols=36&p-rows=120)
 - [join_merge.ConcatDataFrames.time_c_ordered](https://asv-runner.github.io/asv-collection/pandas/#join_merge.ConcatDataFrames.time_c_ordered)
   - [axis=1; ignore_index=False](https://asv-runner.github.io/asv-collection/pandas/#join_merge.ConcatDataFrames.time_c_ordered?p-axis=1&p-ignore_index=False)
   - [axis=1; ignore_index=True](https://asv-runner.github.io/asv-collection/pandas/#join_merge.ConcatDataFrames.time_c_ordered?p-axis=1&p-ignore_index=True)
 - [reshape.Cut.peakmem_cut_interval](https://asv-runner.github.io/asv-collection/pandas/#reshape.Cut.peakmem_cut_interval)
   - [bins=10](https://asv-runner.github.io/asv-collection/pandas/#reshape.Cut.peakmem_cut_interval?p-bins=10)
   - [bins=1000](https://asv-runner.github.io/asv-collection/pandas/#reshape.Cut.peakmem_cut_interval?p-bins=1000)
   - [bins=4](https://asv-runner.github.io/asv-collection/pandas/#reshape.Cut.peakmem_cut_interval?p-bins=4)
 - [rolling.ForwardWindowMethods.peakmem_rolling](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling)
   - [constructor='DataFrame'; window_size=10; dtype='float'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=10&p-dtype=%27float%27&p-method=%27kurt%27)
   - [constructor='DataFrame'; window_size=10; dtype='float'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=10&p-dtype=%27float%27&p-method=%27max%27)
   - [constructor='DataFrame'; window_size=10; dtype='float'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=10&p-dtype=%27float%27&p-method=%27mean%27)
   - [constructor='DataFrame'; window_size=10; dtype='float'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=10&p-dtype=%27float%27&p-method=%27median%27)
   - [constructor='DataFrame'; window_size=10; dtype='float'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=10&p-dtype=%27float%27&p-method=%27min%27)
   - [constructor='DataFrame'; window_size=10; dtype='float'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=10&p-dtype=%27float%27&p-method=%27sum%27)
   - [constructor='DataFrame'; window_size=10; dtype='int'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=10&p-dtype=%27int%27&p-method=%27kurt%27)
   - [constructor='DataFrame'; window_size=10; dtype='int'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=10&p-dtype=%27int%27&p-method=%27max%27)
   - [constructor='DataFrame'; window_size=10; dtype='int'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=10&p-dtype=%27int%27&p-method=%27mean%27)
   - [constructor='DataFrame'; window_size=10; dtype='int'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=10&p-dtype=%27int%27&p-method=%27median%27)
   - [constructor='DataFrame'; window_size=10; dtype='int'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=10&p-dtype=%27int%27&p-method=%27min%27)
   - [constructor='DataFrame'; window_size=10; dtype='int'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=10&p-dtype=%27int%27&p-method=%27sum%27)
   - [constructor='DataFrame'; window_size=1000; dtype='float'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=1000&p-dtype=%27float%27&p-method=%27kurt%27)
   - [constructor='DataFrame'; window_size=1000; dtype='float'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=1000&p-dtype=%27float%27&p-method=%27max%27)
   - [constructor='DataFrame'; window_size=1000; dtype='float'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=1000&p-dtype=%27float%27&p-method=%27mean%27)
   - [constructor='DataFrame'; window_size=1000; dtype='float'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=1000&p-dtype=%27float%27&p-method=%27median%27)
   - [constructor='DataFrame'; window_size=1000; dtype='float'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=1000&p-dtype=%27float%27&p-method=%27min%27)
   - [constructor='DataFrame'; window_size=1000; dtype='float'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=1000&p-dtype=%27float%27&p-method=%27sum%27)
   - [constructor='DataFrame'; window_size=1000; dtype='int'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=1000&p-dtype=%27int%27&p-method=%27kurt%27)
   - [constructor='DataFrame'; window_size=1000; dtype='int'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=1000&p-dtype=%27int%27&p-method=%27max%27)
   - [constructor='DataFrame'; window_size=1000; dtype='int'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=1000&p-dtype=%27int%27&p-method=%27mean%27)
   - [constructor='DataFrame'; window_size=1000; dtype='int'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=1000&p-dtype=%27int%27&p-method=%27median%27)
   - [constructor='DataFrame'; window_size=1000; dtype='int'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=1000&p-dtype=%27int%27&p-method=%27min%27)
   - [constructor='DataFrame'; window_size=1000; dtype='int'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27DataFrame%27&p-window_size=1000&p-dtype=%27int%27&p-method=%27sum%27)
   - [constructor='Series'; window_size=10; dtype='float'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=10&p-dtype=%27float%27&p-method=%27kurt%27)
   - [constructor='Series'; window_size=10; dtype='float'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=10&p-dtype=%27float%27&p-method=%27max%27)
   - [constructor='Series'; window_size=10; dtype='float'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=10&p-dtype=%27float%27&p-method=%27mean%27)
   - [constructor='Series'; window_size=10; dtype='float'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=10&p-dtype=%27float%27&p-method=%27median%27)
   - [constructor='Series'; window_size=10; dtype='float'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=10&p-dtype=%27float%27&p-method=%27min%27)
   - [constructor='Series'; window_size=10; dtype='float'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=10&p-dtype=%27float%27&p-method=%27sum%27)
   - [constructor='Series'; window_size=10; dtype='int'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=10&p-dtype=%27int%27&p-method=%27kurt%27)
   - [constructor='Series'; window_size=10; dtype='int'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=10&p-dtype=%27int%27&p-method=%27max%27)
   - [constructor='Series'; window_size=10; dtype='int'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=10&p-dtype=%27int%27&p-method=%27mean%27)
   - [constructor='Series'; window_size=10; dtype='int'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=10&p-dtype=%27int%27&p-method=%27median%27)
   - [constructor='Series'; window_size=10; dtype='int'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=10&p-dtype=%27int%27&p-method=%27min%27)
   - [constructor='Series'; window_size=10; dtype='int'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=10&p-dtype=%27int%27&p-method=%27sum%27)
   - [constructor='Series'; window_size=1000; dtype='float'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=1000&p-dtype=%27float%27&p-method=%27kurt%27)
   - [constructor='Series'; window_size=1000; dtype='float'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=1000&p-dtype=%27float%27&p-method=%27max%27)
   - [constructor='Series'; window_size=1000; dtype='float'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=1000&p-dtype=%27float%27&p-method=%27mean%27)
   - [constructor='Series'; window_size=1000; dtype='float'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=1000&p-dtype=%27float%27&p-method=%27median%27)
   - [constructor='Series'; window_size=1000; dtype='float'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=1000&p-dtype=%27float%27&p-method=%27min%27)
   - [constructor='Series'; window_size=1000; dtype='float'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=1000&p-dtype=%27float%27&p-method=%27sum%27)
   - [constructor='Series'; window_size=1000; dtype='int'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=1000&p-dtype=%27int%27&p-method=%27kurt%27)
   - [constructor='Series'; window_size=1000; dtype='int'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=1000&p-dtype=%27int%27&p-method=%27max%27)
   - [constructor='Series'; window_size=1000; dtype='int'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=1000&p-dtype=%27int%27&p-method=%27mean%27)
   - [constructor='Series'; window_size=1000; dtype='int'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=1000&p-dtype=%27int%27&p-method=%27median%27)
   - [constructor='Series'; window_size=1000; dtype='int'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=1000&p-dtype=%27int%27&p-method=%27min%27)
   - [constructor='Series'; window_size=1000; dtype='int'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.ForwardWindowMethods.peakmem_rolling?p-constructor=%27Series%27&p-window_size=1000&p-dtype=%27int%27&p-method=%27sum%27)
 - [rolling.Methods.peakmem_method](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='float'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27count%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='float'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27kurt%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='float'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27max%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='float'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27mean%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='float'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27median%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='float'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27min%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='float'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27sem%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='float'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27skew%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='float'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27std%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='float'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27sum%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='int'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27count%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='int'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27kurt%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='int'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27max%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='int'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27mean%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='int'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27median%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='int'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27min%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='int'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27sem%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='int'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27skew%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='int'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27std%27)
   - [constructor='DataFrame'; window_kwargs=('expanding', {}); dtype='int'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27sum%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27count%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27kurt%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27max%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27mean%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27median%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27min%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27sem%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27skew%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27std%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27sum%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27count%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27kurt%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27max%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27mean%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27median%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27min%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27sem%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27skew%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27std%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27sum%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27count%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27kurt%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27max%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27mean%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27median%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27min%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27sem%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27skew%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27std%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27sum%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27count%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27kurt%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27max%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27mean%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27median%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27min%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27sem%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27skew%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27std%27)
   - [constructor='DataFrame'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27DataFrame%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27sum%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='float'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27count%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='float'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27kurt%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='float'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27max%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='float'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27mean%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='float'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27median%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='float'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27min%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='float'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27sem%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='float'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27skew%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='float'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27std%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='float'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27float%27&p-method=%27sum%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='int'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27count%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='int'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27kurt%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='int'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27max%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='int'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27mean%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='int'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27median%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='int'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27min%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='int'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27sem%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='int'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27skew%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='int'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27std%27)
   - [constructor='Series'; window_kwargs=('expanding', {}); dtype='int'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27expanding%27%2C%20%7B%7D%29&p-dtype=%27int%27&p-method=%27sum%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27count%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27kurt%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27max%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27mean%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27median%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27min%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27sem%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27skew%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27std%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='float'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27float%27&p-method=%27sum%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27count%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27kurt%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27max%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27mean%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27median%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27min%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27sem%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27skew%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27std%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 1000}); dtype='int'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%201000%7D%29&p-dtype=%27int%27&p-method=%27sum%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27count%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27kurt%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27max%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27mean%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27median%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27min%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27sem%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27skew%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27std%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='float'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27float%27&p-method=%27sum%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27count%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27kurt%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27max%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27mean%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27median%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27min%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27sem%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27skew%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27std%27)
   - [constructor='Series'; window_kwargs=('rolling', {'window': 10}); dtype='int'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.Methods.peakmem_method?p-constructor=%27Series%27&p-window_kwargs=%28%27rolling%27%2C%20%7B%27window%27:%2010%7D%29&p-dtype=%27int%27&p-method=%27sum%27)
 - [rolling.PeakMemFixedWindowMinMax.peakmem_fixed](https://asv-runner.github.io/asv-collection/pandas/#rolling.PeakMemFixedWindowMinMax.peakmem_fixed)
   - [param1='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.PeakMemFixedWindowMinMax.peakmem_fixed?p-param1=%27max%27)
   - [param1='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.PeakMemFixedWindowMinMax.peakmem_fixed?p-param1=%27min%27)
 - [rolling.VariableWindowMethods.peakmem_method](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method)
   - [constructor='DataFrame'; window='1d'; dtype='float'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27float%27&p-method=%27count%27)
   - [constructor='DataFrame'; window='1d'; dtype='float'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27float%27&p-method=%27kurt%27)
   - [constructor='DataFrame'; window='1d'; dtype='float'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27float%27&p-method=%27max%27)
   - [constructor='DataFrame'; window='1d'; dtype='float'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27float%27&p-method=%27mean%27)
   - [constructor='DataFrame'; window='1d'; dtype='float'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27float%27&p-method=%27median%27)
   - [constructor='DataFrame'; window='1d'; dtype='float'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27float%27&p-method=%27min%27)
   - [constructor='DataFrame'; window='1d'; dtype='float'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27float%27&p-method=%27sem%27)
   - [constructor='DataFrame'; window='1d'; dtype='float'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27float%27&p-method=%27skew%27)
   - [constructor='DataFrame'; window='1d'; dtype='float'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27float%27&p-method=%27std%27)
   - [constructor='DataFrame'; window='1d'; dtype='float'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27float%27&p-method=%27sum%27)
   - [constructor='DataFrame'; window='1d'; dtype='int'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27int%27&p-method=%27count%27)
   - [constructor='DataFrame'; window='1d'; dtype='int'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27int%27&p-method=%27kurt%27)
   - [constructor='DataFrame'; window='1d'; dtype='int'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27int%27&p-method=%27max%27)
   - [constructor='DataFrame'; window='1d'; dtype='int'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27int%27&p-method=%27mean%27)
   - [constructor='DataFrame'; window='1d'; dtype='int'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27int%27&p-method=%27median%27)
   - [constructor='DataFrame'; window='1d'; dtype='int'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27int%27&p-method=%27min%27)
   - [constructor='DataFrame'; window='1d'; dtype='int'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27int%27&p-method=%27sem%27)
   - [constructor='DataFrame'; window='1d'; dtype='int'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27int%27&p-method=%27skew%27)
   - [constructor='DataFrame'; window='1d'; dtype='int'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27int%27&p-method=%27std%27)
   - [constructor='DataFrame'; window='1d'; dtype='int'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271d%27&p-dtype=%27int%27&p-method=%27sum%27)
   - [constructor='DataFrame'; window='1h'; dtype='float'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271h%27&p-dtype=%27float%27&p-method=%27count%27)
   - [constructor='DataFrame'; window='1h'; dtype='float'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271h%27&p-dtype=%27float%27&p-method=%27kurt%27)
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   - [constructor='DataFrame'; window='1h'; dtype='float'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271h%27&p-dtype=%27float%27&p-method=%27median%27)
   - [constructor='DataFrame'; window='1h'; dtype='float'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27DataFrame%27&p-window=%271h%27&p-dtype=%27float%27&p-method=%27min%27)
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   - [constructor='Series'; window='50s'; dtype='float'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27float%27&p-method=%27sem%27)
   - [constructor='Series'; window='50s'; dtype='float'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27float%27&p-method=%27skew%27)
   - [constructor='Series'; window='50s'; dtype='float'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27float%27&p-method=%27std%27)
   - [constructor='Series'; window='50s'; dtype='float'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27float%27&p-method=%27sum%27)
   - [constructor='Series'; window='50s'; dtype='int'; method='count'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27int%27&p-method=%27count%27)
   - [constructor='Series'; window='50s'; dtype='int'; method='kurt'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27int%27&p-method=%27kurt%27)
   - [constructor='Series'; window='50s'; dtype='int'; method='max'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27int%27&p-method=%27max%27)
   - [constructor='Series'; window='50s'; dtype='int'; method='mean'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27int%27&p-method=%27mean%27)
   - [constructor='Series'; window='50s'; dtype='int'; method='median'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27int%27&p-method=%27median%27)
   - [constructor='Series'; window='50s'; dtype='int'; method='min'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27int%27&p-method=%27min%27)
   - [constructor='Series'; window='50s'; dtype='int'; method='sem'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27int%27&p-method=%27sem%27)
   - [constructor='Series'; window='50s'; dtype='int'; method='skew'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27int%27&p-method=%27skew%27)
   - [constructor='Series'; window='50s'; dtype='int'; method='std'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27int%27&p-method=%27std%27)
   - [constructor='Series'; window='50s'; dtype='int'; method='sum'](https://asv-runner.github.io/asv-collection/pandas/#rolling.VariableWindowMethods.peakmem_method?p-constructor=%27Series%27&p-window=%2750s%27&p-dtype=%27int%27&p-method=%27sum%27)
 - [stat_ops.Correlation.peakmem_corr_wide](https://asv-runner.github.io/asv-collection/pandas/#stat_ops.Correlation.peakmem_corr_wide)
   - [method='kendall'](https://asv-runner.github.io/asv-collection/pandas/#stat_ops.Correlation.peakmem_corr_wide?p-method=%27kendall%27)
   - [method='pearson'](https://asv-runner.github.io/asv-collection/pandas/#stat_ops.Correlation.peakmem_corr_wide?p-method=%27pearson%27)
   - [method='spearman'](https://asv-runner.github.io/asv-collection/pandas/#stat_ops.Correlation.peakmem_corr_wide?p-method=%27spearman%27)

</details>