General Utilities
Project description
Overview
Dataframe ‘Utilities’
Installation
Package ka_uts_dfr can be installed from PyPI or Anaconda.
To install with pip:
$ python -m pip install ka_uts_dfr
To install with conda:
$ conda install -c conda-forge ka_uts_dfr
This requires that the readme extra is installed:
$ python -m pip install ka_uts_dfr[readme]
Package logging
Standard or user specific Package logging of the package ka_uts_arr is defined in the static logging class Log_ of Base module log_.py of the Communication Package ka_uts_com. The default Logging configuration is defined by the yaml files log.standard.yml or log.personal.yml in the data directory of the Communication package. The Logging configuration could be overriden by yaml files with the same names in the data directory of the application package ka_uts_arr. Logging defines log file paths for the following log message types: .
debug
error
info
log
Naming conventions for logging file Type
Directory
File
debug
error
log
/data/<tenant>/RUN/<package>/<function>/debs
debs_<pid>_<ts>.log
/data/<tenant>/RUN/<package>/<function>/errs
errs_<pid>_<ts>.log
/data/<tenant>/RUN/<package>/<function>/logs
logs_<pid>_<ts>.log
Naming examples of logging file Type
Directory
File
debug
/data/umh/RUN/umh_otec/srr/debs
debs_9470_1737118199.log
error
/data/umh/RUN/umh_otec/srr/errs
errs_9470_1737118199.log
log
/data/umh/RUN/umh_otec/srr/logs
logs_9470_1737118199.log
Package files
Classification
The Files of Package ka_uts_dfr could be classified into the follwing file types:
Special python specific files
Dunder modules
Package modules
Special python specific files **********+**************
Special python specific files Name
Type
Description
py.typed
Type checking marker file
The py.typed file is a marker file used in Python packages to indicate that the package supports type checking. This file is a part of the PEP 561 standard, which provides a standardized way to package and distribute type information in Python.
Dunder Modules
Dunder-Modules Dunder Module (Module with leading and trailing double underscores)
Name
Type
Description
__init__.py
Package directory marker file
Module with no Statements; the module is used to mark the directory it contains as a package. A dummy Module enforces explicit imports and thus clear namespace use and call them with the dot notation.
__version__.py
Version file
The module consist of Assignment Statements for system Variables of Versioning
Package Modules
Classification
The Modules of Package ka_uts_dfr could be classified into the following module classes:
Modules for pandas dataframe
Modules for polars dataframe
Modules for Pandas Dataframe
Modules for Pandas Dataframe Name
Type
pddf.py
Pandas Dataframe
pddf.py
The Module pddf.py contains a single static classes PdDf.
pddf.py Class: PdDf
The static Class PdDf is used to manage Pandas Dataframes; it contains the subsequent methods.
PdDf Methods
Methods of static class PdDf Name
Description
sh_d_aod
show dictionary of array of dictionaries.
sh_d_pddf
show dictionary of pandas dataframes.
pivot_table
create pandas dataframe pivot table. The pivot rules are defined by a pivot dictionary.
filter
Filter pandas dataframe. The filteris defined by filter dictionary
set_ix_drop_col_filter
set index and drop column filter
format-leading_zeros
format pandas dataframe columns with leading zeros
format-as-date
format pandas dataframe columns as date
PdDf Method: sh_d_aod
Parameter
Parameter of PdDf method sh_d_aod Name
Type
Description
df
TyPdDf
Pandas Datafame
key
str
Keyword arguments
Return Value
Return Value of PdDf method sh_d_aod Name
Type
Description
d_aod
TyDoAoD
dictionary of array of dictionaries
PdDf Method: sh_d_pddf
Parameter
Parameter of PdDf method sh_d_pddf Name
Type
Description
cls
class
current class
df
TyPdDf
Pandas Datafame
key
str
keyword arguments
Return Value
Return Value of PdDf method sh_d_pddf Name
Type
Description
d_df
TyDoPdDf
dictionary of pandas dataframes
PdDf Method: pivot_table
Parameter
Parameter of PdDf method pivot_table Name
Type
Description
cls
class
current class
df
TyPdDf
pandas datafame
d_pv
TyDic
pivot table definition dictionary
Return Value
Return Value of PdDf method pivot_table Name
Type
Description
dfpv
TyPdDf
pandas dataframe pivot table
PdDf Method: filter
Parameter
Parameter of PdDf method filter Name
Type
Description
cls
class
current class
df
TyPdDf
pandas datafame
d_filter
TyDic
filter definition dictionary
relation
TyStr
filter relation
Return Value
Return Value of PdDf method filter Name
Type
Description
df_new
TyPdDf
filtered pandas datafame
PdDf Method: set_ix_drop_col_filter
Parameter
Parameter of PdDf method set_ix_drop_col_filter Name
Type
Description
cls
class
current class
df
TyPdDf
pandas datafame
d_filter
TyDic
filter definition dictionary
relation
str
filter relation
Return Value
Return Value of PdDf method set_ix_drop_col_filter Name
Type
Description
df_new
TyPdDf
filtered pandas datafame
PdDf Module: format_leading_zeros
Parameter
Parameter of PdDf method format_leading_zeros Name
Type
Description
cls
class
current class
df
TyPdDf
pandas datafame
d_filter
TyDic
filter definition dictionary
relation
str
filter relation
Return Value
Return Value of PdDf method format_leading_zeros Name
Type
Description
df_new
TyPdDf
filtered pandas datafame
PdDf Method: format_as_date
Parameter
Parameter of PdDf method format_as_date Name
Type
Description
cls
class
current class
df
TyPdDf
pandas datafame
d_filter
TyDic
filter definition dictionary
relation
str
filter relation
Return Value
Return Values of PdDf methodR ormat_as_date Name
Type
Description
df_new
TyPdDf
filtered pandas datafame
Modules for Polars Dataframe
Modules for Polars Dataframe Module
Classes
Name|Type
Name
Type
Description
pldf
Polars Dataframe
PdDf
Static
Manage Polars Dataframes
pldf.py
The Module pldf contains a single static class PLDF.
PlDf
The static Class PlDf contains the subsequent methods.
PlDf Methods
pldf Methods Name
Description
filter
Filter polars dataframe using the given statement.
pivot
Create polars dataframe pivot table. The pivot rules are defined by the given pivot dictionary.
pivot_filter
Filter polars dataframe using the given statement and create polars dataframe pivot table from filtered dataframe. The pivot rules are defined by the given pivot dictionary.
to_aod
create pandas dataframe pivot table. The pivot rules are defined by pivot dictionary
to_doa
create pandas dataframe pivot table. The pivot rules are defined by pivot dictionary
PlDf Method: filter
Parameter
Parameter of PlDf method filter Name
Type
Description
cls
class
current class
df
TyPdDf
polars datafame
stmt
TyStmt
filter statement
Return Value
Return Value of PlDf method filter Name
Type
Description
df_new
TyPlDf
filtered polars datafame
PlDf Method: pivot
Parameter
Parameter of P.Df method pivot Name
Type
Description
cls
class
current class
df
TyPlDf
polars datafame
d_pv
TyDic
pivot table definition dictionary
Return Value
Return value of PdDf method pivot Name
Type
Description
dfpv
TyPlDf
polars dataframe pivot table
PlDf Method: pivot_filter
Parameter
Parameter of PdDf method pivot_filter Name
Type
Description
cls
class
current class
df
TyPlDf
polars datafame
d_pv
TyDic
pivot table definition dictionary
stmt
TyStmt
filter statement
Return Value
Return value of PlDf method pivot_gilter Name
Type
Description
dfpv
TyPlDf
polars dataframe pivot table
PlDf Method: to_aod
Parameter
Parameter of PdDf method to_aod Name
Type
Description
df
TyPlDf
polars datafame
Return Value
Return value of PlDf method to_aod Name
Type
Description
aod
TyAoD
Array of Dictionaries
PlDf Method: to_doa
Parameter
Parameter of PdDf method to_doa Name
Type
Description
df
TyPlDf
polars datafame
Return Value
Return value of PlDf method to_doa Name
Type
Description
doa
TyDoA
Dictionary of Arrays
Appendix
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