uj UdZddlmZddlmZddlZddlmZddlm cm Z ddlm Z m Z mZmZmZmZmZmZddlmZdZdd Zd Zdd Zd Zdd Ze j8d5e j:ddee ee j:ddee ee j:ddee eddddZdZdZ dZ!dZ"dZ#dZ$dZ%dZ&dZ'dZ(d Z)d!Z*d"Z+d#Z,d$Z-d%Z.d&Z/d'Z0d(Z1d)Z2d*Z3d+Z4d,Z5d-Z6d.Z7dd/Z8dd0Z9e j8d15e j:d2d3ee4e j:d5de'ede g4e j:d6d7e5e4e j:d8d9ee4e j:d:d;e ee:de;f4e j:dd?e(e4e9rdZe j8d^5e j:daej~jdbdcddk(rddnej~jdbdedek(e>egdf4ddddgZAe j8d^5e j:dhddeAegdi4ddddjZBe j8d^5e j:dkdeBe 4ddddlZCddmZDe j8d^5e j:dndeCeD4ddddoZEddpZFe j8d^5e j:dqdreEeF4ddddsZGdtdugZHgdvZIgdvZJdwdugZKdxdugZLe j8dy5e j:dzdreGjd{d|jeH}egeHdr4ddde j8d~5e j:dzdreGjdd|jeI}egeIdr4ddde j8d5e j:dzdreGjdd|jeJ}egeJdr4ddde j8d5e j:dzdreGjdd|jeK}egeKdr4ddde j8d5e j:dzdreGjdd|jeL}egeLdr4ddddZOdgZIddgZJdwgZKe j8d~5e j:ddreOjdd|jeI}eP4ddde j8d5e j:ddreOjdd|jeJ}eP4ddde j8d5e j:ddreOjdd|jeK}eP4ddddZQe j8d5e j:ddreQegd4ddddZRe j8d5e j:ddreRedrdg4ddddZSddZTe j8d5e j:ddeSeTddddZUddZVe j8d5e j:ddreUegdeVddddZWdZXdZYdZZdZ[dZ\dZ]dZ^dZ_dZ`dZadZbdZcdZddZedZfdZgdZhe j8d5e j:ddeWe 4e j:ddeXe 4e j:ddeYeddg4e j:ddeZe4e j:dde[e4e j:dde\e4e j:ddege4e j:dde^e4e j:dd3e]e4e j:dde_ee:dePf4e j:dde`ee:dePf4e j:ddeaegd4e j:ddebee:deieePf4e j:ddehe 4e j:ddecegdŢ4gdƢZjejddgz Zje j:ddedeej4e j:ddeee 4e j:ddefee:dePf4dddej~jddΫZkekdvr eldekiZmdend<ddӜ ddԄZoe j8dի5eodddddeddgثe j:dddeddg4eoddddddeddgݫeodddddeddgثeoddddddegdݫddde jdee jdede jdede jdedy#1swY xYw#1swYxYw#1swYxYw#1swY2xYw#1swYxYw#1swYxYw#1swYxYw#1swYxYw#1swY&xYw#1swYxYw#1swYxYw#1swY`` tag for the DataFrame HTML repr. z: boolean When True, Jupyter notebook will process table contents using MathJax, rendering mathematical expressions enclosed by the dollar symbol. (default: True) aH: int The number of items that will be added to `dir(...)`. 'None' value means unlimited. Because dir is cached, changing this option will not immediately affect already existing dataframes until a column is deleted or added. This is for instance used to suggest columns from a dataframe to tab completion. aH : int Width of the display in characters. In case python/IPython is running in a terminal this can be set to None and pandas will correctly auto-detect the width. Note that the IPython notebook, IPython qtconsole, or IDLE do not run in a terminal and hence it is not possible to correctly detect the width. z : float or None if set to a float value, all float values smaller than the given threshold will be displayed as exactly 0 by repr and friends. a : int or None When pretty-printing a long sequence, no more than `max_seq_items` will be printed. If items are omitted, they will be denoted by the addition of "..." to the resulting string. If set to None, the number of items to be printed is unlimited. z : int df.info() will usually show null-counts for each column. For large frames this can be quite slow. max_info_rows and max_info_cols limit this null check only to frames with smaller dimensions than specified. z : 'truncate'/'info' For DataFrames exceeding max_rows/max_cols, the repr (and HTML repr) can show a truncated table, or switch to the view from df.info() (the behaviour in earlier versions of pandas). z : bool, string or None This specifies if the memory usage of a DataFrame should be displayed when df.info() is called. Valid values True,False,'deep' cNddlm}|tjdddy)Nr)enable_data_resource_formatterdisplayhtml table_schema)pandas.io.formats.printingr*rr)rr*s rtable_schema_cbr/*s"I"2#4#4Y#?#G#WXrcR t}t|dryy#t$rYywxYw)zz Detect if Python is running in a terminal. Returns True if Python is running in a terminal or False if not. kernelFT) get_ipythonhasattr NameError)ips r is_terminalr60s4  ] 2x  s  &&r+ precisionr' float_format max_info_rowsimax_rows<min_rows max_categories max_colwidth2 max_columns large_reprtruncateinfomax_info_columnsdcolheader_justifyrightnotebook_repr_htmlpprint_nest_depth multi_sparseexpand_frame_reprshow_dimensions)TFrGchop_threshold max_seq_itemswidthP memory_usage)NTFdeepzunicode.east_asian_widthzunicode.ambiguous_as_widezhtml.table_schemaz html.borderzhtml.use_mathjax max_dir_itemszL : boolean Whether to simulate interactive mode for purposes of testing modesim_interactivez : bool Use new copy-view behaviour using Copy-on-Write. No longer used, pandas now always uses Copy-on-Write behavior. This option will be removed in pandas 4.0. copy_on_writePANDAS_COPY_ON_WRITE0warn1)TFr`z : string No longer used. This option has had no effect since SettingWithCopyWarning was removed in pandas 3.0. This option will be removed in pandas 4.0. chained_assignment)Nr`raisez< : boolean Whether to show or hide PerformanceWarnings. performance_warningsa : int or None Maximum number of worker threads for parallel operations (e.g. ``read_csv`` for large files). ``None`` (the default) means use ``min(os.cpu_count(), 6)``, further limited to the CPUs available to the process (CPU affinity and cgroup limits). Set to ``1`` to disable parallel execution, or to a fixed number to raise the cap or to limit thread usage when pandas is embedded in a larger parallel workflow. Ignored on Emscripten/Pyodide, which cannot spawn threads. cJ|yt|tr|dk\rytd)NrYz(Value must be a positive integer or None) isinstanceint ValueError)values r_is_positive_int_or_nonerjs) }%%1* ? @@r max_threadsz3 : string The default storage for StringDtype. c.gd}||vr d}t|y)N)autopythonpyarrowz#Value must be one of python|pyarrow)rh)ri legal_valuesmsgs ris_valid_string_storagerrs#0L L 3o!rstring_storagermzh : string The default Excel reader engine for '{ext}' files. Available options: auto, {others}. xlrdcalamine)rtopenpyxlruodfpyxlsbz io.excel.xlsreaderxlsz, )extothersz io.excel.xlsmxlsmz io.excel.xlsxxlsxz io.excel.odsodsz io.excel.xlsbxlsbzh : string The default Excel writer engine for '{ext}' files. Available options: auto, {others}. rv xlsxwriterwriterz : string The default parquet reader/writer engine. Available options: 'auto', 'pyarrow', 'fastparquet', the default is 'auto' z io.parquetengine)rmro fastparquetzw : string The default sql reader/writer engine. Available options: 'auto', 'sqlalchemy', the default is 'auto' zio.sql sqlalchemyz : str The plotting backend to use. The default value is "matplotlib", the backend provided with pandas. Other backends can be specified by providing the name of the module that implements the backend. c,|dk(ryddlm}||y)N matplotlibr)_get_plot_backend)pandas.plotting._corer)rrs rregister_plotting_backend_cbrs l7crplottingbackendr)defvaldocr'z : bool or 'auto'. Whether to register converters with matplotlib's units registry for dates, times, datetimes, and Periods. Toggling to False will remove the converters, restoring any converters that pandas overwrote. cdddlm}m}tjdddr|y|y)Nr) deregister_matplotlib_convertersregister_matplotlib_convertersrrregister_converters)pandas.plottingrrrr)rrrs rregister_converter_cbrs.  $\23HI&((*rzplotting.matplotlibr)rmTFz : bool Whether to sparsify the display of a hierarchical index. Setting to False will display each explicit level element in a hierarchical key for each row. z : bool Whether to sparsify the display of hierarchical columns. Setting to False will display each explicit level element in a hierarchical key for each column. zS : str Determine which output to use in Jupyter Notebook in {"html", "latex"}. z : int The maximum number of data-cell () elements that will be rendered before trimming will occur over columns, rows or both if needed. Not applied to LaTeX. z : int, optional The maximum number of rows that will be rendered. May still be reduced to satisfy ``max_elements``, which takes precedence. Not applied to LaTeX. z : int, optional The maximum number of columns that will be rendered. May still be reduced to satisfy ``max_elements``, which takes precedence. Not applied to LaTeX. z : int The precision for floats and complex numbers. This option affects only ``Styler`` rendering (e.g. ``DataFrame.style``), not the default Series/DataFrame repr, which is controlled by the ``display.*`` options. a  : str The character representation for the decimal separator for floats and complex. This option affects only ``Styler`` rendering (e.g. ``DataFrame.style``), not the default Series/DataFrame repr, which is controlled by the ``display.*`` options. a : str, optional The character representation for thousands separator for floats, int and complex. This option affects only ``Styler`` rendering (e.g. ``DataFrame.style``), not the default Series/DataFrame repr, which is controlled by the ``display.*`` options. a : str, optional The string representation for values identified as missing. This option affects only ``Styler`` rendering (e.g. ``DataFrame.style``), not the default Series/DataFrame repr, which is controlled by the ``display.*`` options. a : str, optional Whether to escape certain characters according to the given context; html or latex. This option affects only ``Styler`` rendering (e.g. ``DataFrame.style``), not the default Series/DataFrame repr, which is controlled by the ``display.*`` options. zh : str, callable, dict, optional A formatter object to be used as default within ``Styler.format``. z[ : {"c", "t", "b"} The specifier for vertical alignment of sparsified LaTeX multirows. a : {"r", "c", "l", "naive-l", "naive-r"} The specifier for horizontal alignment of sparsified LaTeX multicolumns. Pipe decorators can also be added to non-naive values to draw vertical rules, e.g. "\|r" will draw a rule on the left side of right aligned merged cells. zU : bool Whether to add horizontal rules on top and bottom and below the headers. z : str The environment to replace ``\begin{table}``. If "longtable" is used results in a specific longtable environment format. z> : str The encoding used for output HTML and LaTeX files. z : bool If False will render special CSS classes to table attributes that indicate Mathjax will not be used in Jupyter Notebook. stylerz sparse.indexzsparse.columnsz render.reprr,latexzrender.max_elementsizrender.max_rowszrender.max_columnszrender.encodingzutf-8zformat.decimal.zformat.precisionzformat.thousandsz format.na_repz format.escape)Nr,rz latex-mathzformat.formatterz html.mathjaxzlatex.multirow_alignc)rtbnaive) rz|r|z|rzr|rz|c|z|czc|lz|l|z|lzl|znaive-lznaive-rzlatex.multicol_alignrz latex.hruleszlatex.environment PANDAS_FUTUREdefaultlegacyrupcomingzZPANDAS_FUTURE environment variable must be one of 'legacy', 'default', or 'upcoming', got zdict[str, dict[str, Any]]_future_option_behaviors)enrolledc,tjjd|j}|)|dvrt d|jd||dk(}n|r|||dt }n|}||||dt |<tj||||y) a, Register an option under the "future" prefix. The option's value is determined by, in order of precedence: 1. The PANDAS_FUTURE_ environment variable, if set: "0" means False and "1" means True; any other value raises. 2. The PANDAS_FUTURE environment variable ("legacy", "default", or "upcoming"), if the option is enrolled. 3. The ``default`` value. ``enrolled=False`` registers the option but exempts it from PANDAS_FUTURE, for options whose non-default values do not yet pass the test suite. PANDAS_FUTURE_N)r_raz. environment variable must be '0' or '1', got rar)rrrrr9) osenvirongetupperrh _FUTURE_MODErrregister_option) namerrrrr'r env_overrideris r_register_future_optionrs2::>>N4::<."ABL z ) /##/"24 # !g8L   &T" tUC9=rfuture infer_stringzWhether to infer a sequence of str objects as str dtype rather than object dtype. This has been the default since pandas 3.0. This option is deprecated and will be removed in pandas 4.0, at which point str dtype will always be inferred.)rrrrr'no_silent_downcastingzTThis option is deprecated and will be removed in a future version. It has no effect.distinguish_nan_and_nazWhether to treat NaN entries as distinct from pd.NA in numpy-nullable and pyarrow float dtypes. By default treats both interchangeable as missing values (NaN will be coerced to NA). See discussion in https://github.com/pandas-dev/pandas/issues/32265)rrrrrr'python_scalarszWhether to return Python scalars instead of NumPy or PyArrow scalars. Values from object dtype data where the operation coerces them to NumPy floats remain NumPy scalars. Currently experimental, setting to True is not recommended for end users.infer_freq_returns_offsetzWhether pd.infer_freq and .inferred_freq return a BaseOffset object instead of a string, which will be the default in a future version of pandas. Set to True to opt in to the future behavior, or False to keep the old behavior and silence the warning.)TFNzfuture.no_silent_downcastingzfuture.infer_stringzThe 'future.infer_string' option is deprecated and will be removed in pandas 4.0. Inferring str dtype for string data has been the default since pandas 3.0, and it will no longer be possible to disable it.)rqzmode.copy_on_writezThe 'mode.copy_on_write' option is deprecated. Copy-on-Write can no longer be disabled (it is always enabled with pandas >= 3.0), and setting the option has no impact. This option will be removed in pandas 4.0.zmode.chained_assignmenta`The 'mode.chained_assignment' option is deprecated. It has had no effect since pandas 3.0, which removed the SettingWithCopyWarning it controlled. Chained assignment now emits a ChainedAssignmentError warning instead; use warnings.filterwarnings with category=ChainedAssignmentError to silence or escalate it. This option will be removed in pandas 4.0.)rstrreturnNone)rbool)rirrr)rz str | Nonerr)rrrrrrrrrrr'zCallable[[object], Any]rrrr)q__doc__ __future__rcollections.abcrrtypingrpandas._config.config_configconfigrrrrr r r r r pandas.errorsruse_bottleneck_docruse_numexpr_docr use_numba_docr& config_prefixrpc_precision_docpc_max_rows_docpc_min_rows_docpc_max_cols_docpc_max_categories_docpc_max_info_cols_docpc_nb_repr_h_docpc_pprint_nest_depthpc_multi_sparse_docfloat_format_docmax_colwidth_doccolheader_justify_docpc_expand_repr_docpc_show_dimensions_docpc_east_asian_width_docpc_ambiguous_as_wide_docpc_table_schema_docpc_html_border_docpc_html_use_mathjax_docpc_max_dir_items pc_width_docpc_chop_threshold_docpc_max_seq_itemspc_max_info_rows_docpc_large_repr_docpc_memory_usage_docr/r6typergmax_colstc_sim_interactive_doccopy_on_write_docrrrbrdmax_threads_docrjstring_storage_docrrreader_engine_doc _xls_options _xlsm_options _xlsx_options _ods_options _xlsb_optionsformatjoinwriter_engine_docrparquet_engine_docsql_engine_docplotting_backend_docrregister_converter_docrstyler_sparse_index_docstyler_sparse_columns_docstyler_render_reprstyler_max_elementsstyler_max_rowsstyler_max_columnsstyler_precisionstyler_decimalstyler_thousands styler_na_rep styler_escapestyler_formatterstyler_multirow_alignstyler_multicol_align styler_hrulesstyler_environmentstyler_encodingstyler_mathjaxdictval_mcarrhr__annotations__rdeprecate_optionrrr s #$ ""   )N M  D Ri B   Bt_NBUMW ""$         Y $Ri VB{A'7CUVB #T;$78  B  Bz2BTUB %tDz3&78  B',AVTB $  }Bx  B'/DEB-=>B\-@$t*cAR-SB #$?@  B"E+BgB#U,DPWB   B}a);vNBD"9WB.:LiVp RfIB(%1GHIRf B ::>>0# 6& @  ZZ^^2C 8C ?#$9:   RfB#$;<  RfB  ARfB *  RfB)   # 0 0 z" :& Rn%B  U499\3J K#$;l$;F$;< Ro&B  VDIIm4L M#$ -> -> ->  -> ->'->-> ->`Rh= 3$T5M2 B  #T5M2   < $T5M2  T $T5M2 # 9$$78 c=B2NC M  D  B E  jVVzII  (8,0(  ::~ddF==s!Ap0=Jp=q  Aqq$>q15q>,r 3ArAr%)Ar2Ar?As 7s7s&(7s3;t6t 5t, t' G0t4A9u0p:=q qq!$q.1q;>r rr"%r/2r<?s  ss#&s03s=t  tt$'t14t>u