d>UdZddlmZddlmZddlmZmZddlm Z ddl m Z ddl m Z ddlZddlZdd lmZdd lmZmZmZmZmZmZmZmZmZmZmZmZdd lm Z ddl!Z"dd l#m$Z$m%Z%dd l&m'Z'ddl(m)Z)ddl*m+Z+m,Z,m-Z-m.Z.m/Z/m0Z0ddl1m2Z2ddl3m4Z4m5Z5m6Z6m7Z7m8Z8m9Z9m:Z:m;Z;mZ>ddl?m@Z@mAZAmBZBmCZCmDZDmEZEmFZFmGZGmHZHmIZImJZJmKZKddlLmMZMddlNmOZOmPZPddlQmRZRmSZSmTZTddlUmVZVddlWmXZXddlYmZcm[Z\ddl]m^Z^ddl_m`Z`maZambZbmcZcddldmeZeddlfmgZgddlhmiZiddljmkZkmlZlddlmmnZnerddlompZpmqZqd Zrd!esd"<d#Ztd$Zud!esd%<Gd&d'ZvGd(d)ZwGd*d+ZxGd,d-exZydd/Zzdd1Z{dd2Z|Gd3d4Z}Gd5d6Z~ ddd=Ze ddd?Z dddVZGdWdXZGdYdZeZGd[d\eZGd]d^eZGd_d`eZddcZddfZdddkZ dddmZ dddpZddrZGdsdteZGdudveZ ddd{Z dddZdddZddZ dddZddZGddZdddZ dddZddZdS)z Internal module for formatting output data in csv, html, xml, and latex files. This module also applies to display formatting. ) annotations)contextmanager) QUOTE_NONEQUOTE_NONNUMERIC)Decimal)partial)StringION)get_terminal_size) IO TYPE_CHECKINGAnyCallableFinal GeneratorHashableIterableListMappingSequencecast)east_asian_width) get_option set_option)lib)NA)NaT Timedelta Timestampget_unit_from_dtypeiNaTperiods_per_day)NaTType) ArrayLikeAxesColspaceArgType ColspaceTypeCompressionOptionsFilePathFloatFormatTypeFormattersType IndexLabelStorageOptions WriteBuffer) is_categorical_dtypeis_complex_dtypeis_datetime64_dtypeis_extension_array_dtypeis_floatis_float_dtype is_integeris_integer_dtype is_list_likeis_numeric_dtype is_scalaris_timedelta64_dtype)DatetimeTZDtype)isnanotna) Categorical DatetimeArrayTimedeltaArray) StringDtype) PandasObject) extract_array)Index MultiIndex PeriodIndex ensure_index) DatetimeIndex)TimedeltaIndex)concat)check_parent_directorystringify_path)printing) DataFrameSeriesa Parameters ---------- buf : str, Path or StringIO-like, optional, default None Buffer to write to. If None, the output is returned as a string. columns : sequence, optional, default None The subset of columns to write. Writes all columns by default. col_space : %(col_space_type)s, optional %(col_space)s. header : %(header_type)s, optional %(header)s. index : bool, optional, default True Whether to print index (row) labels. na_rep : str, optional, default 'NaN' String representation of ``NaN`` to use. formatters : list, tuple or dict of one-param. functions, optional Formatter functions to apply to columns' elements by position or name. The result of each function must be a unicode string. List/tuple must be of length equal to the number of columns. float_format : one-parameter function, optional, default None Formatter function to apply to columns' elements if they are floats. This function must return a unicode string and will be applied only to the non-``NaN`` elements, with ``NaN`` being handled by ``na_rep``. .. versionchanged:: 1.2.0 sparsify : bool, optional, default True Set to False for a DataFrame with a hierarchical index to print every multiindex key at each row. index_names : bool, optional, default True Prints the names of the indexes. justify : str, default None How to justify the column labels. If None uses the option from the print configuration (controlled by set_option), 'right' out of the box. Valid values are * left * right * center * justify * justify-all * start * end * inherit * match-parent * initial * unset. max_rows : int, optional Maximum number of rows to display in the console. max_cols : int, optional Maximum number of columns to display in the console. show_dimensions : bool, default False Display DataFrame dimensions (number of rows by number of columns). decimal : str, default '.' 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Parameters ---------- buf : str, path object, file-like object, or None, default None String, path object (implementing ``os.PathLike[str]``), or file-like object implementing a string ``write()`` function. If None, the result is returned as a string. encoding : str, default “utf-8” Set character encoding. classes : str or list-like classes to include in the `class` attribute of the opening ```` tag, in addition to the default "dataframe". notebook : {True, False}, optional, default False Whether the generated HTML is for IPython Notebook. border : int A ``border=border`` attribute is included in the opening ``
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If None, the result is returned as a string. encoding: str, default “utf-8” Set character encoding. line_width : int, optional Width to wrap a line in characters. r)StringFormatter)rr)pandas.io.formats.stringrrrr)rkr^rrrstring_formatterrs rlrzDataFrameRenderer.to_stringWsS( =<<<<<*?48 KKK!++--f#AAAArn,winfer"Tstrict path_or_buf7FilePath | WriteBuffer[bytes] | WriteBuffer[str] | Noneseprcr"r# index_labelIndexLabel | Noner compressionr'rj quotecharlineterminator chunksize date_format doublequote escapecharerrorsstorage_optionsr,cfddlm}|d}t}nd}|did|d| d|d |d |d |d |d |d|d|d| d| d| d| d|d|d|j}||rAt |tsJ|}||SdS)z; Render dataframe as comma-separated file. r) CSVFormatterNTFrrrrrrrjr_rrrrrrrrrr)pandas.io.formats.csvsrr rsavergetvalueclose)rkrrrr"rrrrjrrrrrrrrrcreated_buffer csv_formattercontents rlto_csvzDataFrameRenderer.to_csvqsp, 877777  !N"**KK"N$    #  )>  X  6  $  G  $    i  i $  $  "z ,O! "hh# &   k844 4 4 4!**,,G      Ntrn)rrrerf) NNFNFNFNNN)r^rrrrrarrrrarrrrarrrrrrrer)NNNFNNF)r^rrrrrrrarrrrrrarer)NNN)r^rrrrrrer)NNrNNrrNrNNNTNrN)"rrrrrrcr"r#rrrrcrr'rjrrrcrrrrrrrrarrrrcrr,rer) rrrrrmrrrr rrnrlrrs  37$(#!)-04 #BBBBBD37#-1$(#"1B1B1B1B1Bj37#!% BBBBB8PT#-1)-*1"%) $"& !%*.#9999999rnrrrcr^rrrct||5}||| |cdddS ddddS#1swxYwYdS)zQ Perform serialization. Write to buf or return as string if buf is None. )rN) get_bufferwriter)rr^rfs rlrrs C( + + +q  ;::<<   s+A AAAIGenerator[WriteBuffer[str], None, None] | Generator[StringIO, None, None]c#K|t|}nt}|d}n$t|tst dt |dr|VdSt|trNt t|t|d|d5}|VddddS#1swxYwYdStd) z Context manager to open, yield and close buffer for filenames or Path-like objects, otherwise yield buf unchanged. 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When formatting an Index subclass (e.g. IntervalIndex._format_native_types), we don't want the leading space since it should be left-aligned. fallback_formatter Returns ------- List[str] N rdisplay.precision) rrbryrrrSr-rrjr)r0rDatetime64Formatterrr:Datetime64TZFormatterr9Timedelta64Formatterr1ExtensionArrayFormatterr3r/FloatArrayFormatterr5IntArrayFormatterGenericArrayFormatterr get_result) rrryrbrrrSr-rrjr fmt_klassfmt_objs rlrzrzs0R6<(( *' FL/ 2 2 *) fl + + *( !&, / /*+  % %*)9&,)G)G*' &, ' '*% )  }!"899  ~/00i!#-   G     rnc>eZdZ d#d$dZd%d!Zd%d"ZdS)&r"Nr\rrQr Trr rrrrrbrcrrryr)rSr-rjr fixed_widthrarr+rrerfc ||_||_||_||_||_||_||_||_| |_| |_ | |_ | |_ dSr) rrrbrrryrSr-rjr(rr) rkrrrrbrryrSr-rjr(rrs rlrmzGenericArrayFormatter.__init__6sb    "(   &*"4rnrwcT|}t||jSr)_format_stringsrrS)rkrs rlr#z GenericArrayFormatter.get_resultRs%))++  T\:::rnc  j&td}|td fd}nj}jj nDjj n5jduojt k}t tjd| fd}tj d}t|tj std tj|t"}|tjt'|t)t+d t-|j z}j}||}g}t5|D]\} } || rj$|r"|d || 8|| r||| _|d urd} nd} || || |S)Nrrc0t|dddS)Nz .dr)_trim_zeros_single_float)r precisions rlz7GenericArrayFormatter._format_strings..[s))A+I+++++**rnr)r quote_stringscj~t|rot|r` |dS|turt tS|t ust j|rdSn#ttf$rYnwxYwjSt|trt |St|trt|St |S)Nrfr)rbr8r;rrcrnpisnatrr\rrAr@repr)rrrks rl_formatz6GenericArrayFormatter._format_strings.._formatms{&9Q<<&DGG& y%vb"2wwcRXa[[$u"!:.D{"A|,, )1vv A{++ )Aww99Q<<(((sA)A) A))A=<A=T extract_numpyz %II  $ 0/II L4S9SM%/+I  ) ) ) ) ) ).T[===$ ++ N =x00 fU4[[uU1c$*oo-F-F'G'GHHH I  *  )--//M dOO < eZdZdfd Z ddd Zdd ZddZxZS)r rerfctj|i||j7|j2d|_t |jr|j|_d|_dSdSdSdSNF)rrmryrr(callable)rkargsrrs rlrmzFloatArrayFormatter.__init__s|$)&)))   (T^-C$D )** )!%!2$(!!! ) (-C-C ) )rnNryr) threshold float | Nonerc|jrfdnfdjdkrfdnSfd}|S)z;Returns a function to be applied on each value to format itNcPJt|r |njS)N)value)r<rb)rryrks rlbase_formatterz.base_formatters;#/// Qxx%LLq))))rncNt|rt|njSr)r<rcrb)rrks rlrLz.base_formatters !&q:s1vvvt{:rnr cN|djdS)Nr r)replacer-)rrLrks rldecimal_formatterz?FloatArrayFormatter._value_formatter..decimal_formatters'%~a((00dlAFFFrnct|r)t|kr |SdSjS)Ng)r<absrb)rKrPrkrGs rlrz7FloatArrayFormatter._value_formatter..formattersLU|| #u:: )),,U333,,S111{"rn)ryr-)rkryrGrrLrPs``` @@rl_value_formatterz$FloatArrayFormatter._value_formatters  ,L  ;        ; ; ; ; ; <3   G G G G G G G!/   $ $ # # # # # # #rn np.ndarraycF dd j jjjSjrt d  nd fd }j9jr*jd urd }nd }t|jj }n j}nfd}||}js|St|dkr(td|D}|j dzk}nd}tj d5tjj}|dk}|dj zk|dkz} dddn #1swxYwY| s|r6|r4jd urd}nd}t|jj }||}|S)z Returns the float values converted into strings using the parameters given at initialisation, as a numpy array rr#rrrbrcct|}tjfdt||D|j}|S)Nc4g|]\}}|s |nSrr)rvalmrrbs rlrzWFloatArrayFormatter.get_result_as_array..format_with_na_rep..s>Q+,7IIcNNNrn)r;r4arrayrfravelreshaper=)rrrbmask formatteds `` rlformat_with_na_repzCFloatArrayFormatter.get_result_as_array..format_with_na_reps<.format_values_withs--lIFFI|v%%t{*[F)&11J'' 6BBF :E0FFFF.vt|DDFz&9999MrnTz{value: .{digits:d}f}z{value:.{digits:d}f})rcj|zSr)ry)rKrks rlr1z9FloatArrayFormatter.get_result_as_array..(s):U)Brnrc34K|]}t|VdSrrrs rlrz:FloatArrayFormatter.get_result_as_array..4s(::AQ::::::rnFignoreinvalidg.A z{value: .{digits:d}e}z{value:.{digits:d}e})rr#rrrbrc)rrrbr(rryrrrrrsrr4errstaterRr) rkrgfmt_strryformatted_valuesmaxlentoo_longabs_valshas_large_valueshas_small_valuesr_rGs ` @@rlget_result_as_arrayz'FloatArrayFormatter.get_result_as_arraysi      > %%%dk4>4;OO O   "#;<$+FFFL11,?? s6AEE #E rwcDt|Sr)rrwr|s rlr+z#FloatArrayFormatter._format_stringsMsD,,..///rnrNN)ryr)rGrHrer)rerTr)rrrrmrSrwr+rr s@rlr r s ) ) ) ) ) )04"&66666pa a a a F00000000rnr ceZdZddZdS)r!rerwc`|jdurd}nd}|jp|fd|jD}|S)NFc2|d|S)Nr.rrr}s rlr1z3IntArrayFormatter._format_strings..Tshhooo&:&:rnc2|d|S)Nz dr}r~r}s rlr1z3IntArrayFormatter._format_strings..Vsii&6&6&6&;&;rnc&g|] }|Srrrrrs rlrz5IntArrayFormatter._format_strings..Xs!888qiill888rn)rrr)rk formatter_strrrs @rlr+z!IntArrayFormatter._format_stringsRsP   & &::MM;;MN3m 8888DK888 rnNrrrrr+rrnrlr!r!Qs(rnr!c.eZdZ d dfd Zdd ZxZS)rrNr3np.ndarray | Series | DatetimeIndex | DatetimeArraynat_reprcrrfrec Xtj|fi|||_||_dSr)rrmrr)rkrrrrrs rlrmzDatetime64Formatter.__init__]s9 **6*** &rnrwc j}t|tst|}j"t jrfd|DS|jjj}| S)z&we by definition have DO NOT have a TZNc:g|]}|Sr)rrs rlrz7Datetime64Formatter._format_strings..ps%666!DNN1%%666rn)rbr) rrrGrrE_data_format_native_typesrrtolist)rkrrs` rlr+z#Datetime64Formatter._format_stringshs&-00 +"6**F > %(4>*B*B %6666v666 6\66!>  fk * * '//11EEJv&&E!  *;;*LL,L1    rnNrrrrnrlrrxs(rnr percentilesnp.ndarray | Sequence[float]c tj|}tjd5t|r0tj|dkrtj|dkst d dddn #1swxYwYd|z}|t}tj ||}tj|r&|t}d|DStj |}|ddkr|dnd}|d dkr d|d z nd}tj tj tjtj||| t }t!d|}tj|t$ }||tt||<|||t||<d |DS) a Outputs rounded and formatted percentiles. Parameters ---------- percentiles : list-like, containing floats from interval [0,1] Returns ------- formatted : list of strings Notes ----- Rounding precision is chosen so that: (1) if any two elements of ``percentiles`` differ, they remain different after rounding (2) no entry is *rounded* to 0% or 100%. Any non-integer is always rounded to at least 1 decimal place. Examples -------- Keeps all entries different after rounding: >>> format_percentiles([0.01999, 0.02001, 0.5, 0.666666, 0.9999]) ['1.999%', '2.001%', '50%', '66.667%', '99.99%'] No element is rounded to 0% or 100% (unless already equal to it). Duplicates are allowed: >>> format_percentiles([0, 0.5, 0.02001, 0.5, 0.666666, 0.9999]) ['0%', '50%', '2.0%', '50%', '66.67%', '99.99%'] rkrlrrz/percentiles should all be in the interval [0,1]Ndcg|]}|dzS%rrs rlrz&format_percentiles..s%%%AC%%%rn)to_beginto_endrbcg|]}|dzSrrrs rlrz&format_percentiles..s ! ! !AG ! ! !rn)r4reror7rQr\roundastyperisclosercuniquefloorlog10rediff1dr empty_likera)rpercentiles_round_typeint_idxout unique_pctsrrprecs rlformat_percentilesrsD*[))K X & & &PP -- P6+*++ P6+*++ P NOO O  PPPPPPPPPPPPPPPP #K(..0077<<j/==G vg&$++C00%%%%%%)K((K!,Q!!3!3{1~~H&1"o&;&;S;r? " "F H  ;&QQQRRSS   fSkk D q$<rGtzasi8r rrr!r4 logical_andr)r values_intconsider_valuesresoppd even_dayss rl is_dates_onlyrs fe $ $  f}m< = ='v&& yuJ D(O v| , ,D $  C S0@A0EFFJJLLPQQIt 5rnrrNaTType | Timestamprc6|tur|St|Sr)rrcrrs rl_format_datetime64rsCxx q66Mrnrclt|tr|S|r||S|jSr)rr"strftime _date_repr)rrrs rl_format_datetime64_dateonlyrs? !Wzz+&&&|rnis_dates_only_rc |rfdSfdS)z]Return a formatter callable taking a datetime64 as input and providing a string as outputc(t|S)N)rr)r)rrrs rlr1z'get_format_datetime64..s4 wK   rnc&t|S)N)r)rrs rlr1z'get_format_datetime64..s+Aw???rnr)rrrs ``rlget_format_datetime64rs? @      @????rn*np.ndarray | DatetimeArray | DatetimeIndexct|tjr|jdkr|}t |}|r|pdS|S)z6given values and a date_format, return a string formatrz%Y-%m-%d)rr4r:ndimr[r)rridos rl!get_format_datetime64_from_valuesrsW&"*%% &+//   C )(j( rnceZdZddZdS)rrerwc|jt}t|}|jpt ||jfd|D}|S)zwe by definition have a TZ)rc&g|] }|Srrrs rlrz9Datetime64TZFormatter._format_strings..4s!333qiill333rn)rrrarrrr)rkrrrrs @rlr+z%Datetime64TZFormatter._format_strings-sl##F++F##N &; T-' ' ' 4333F333 rnNrrrrnrlrr,s(      rnrc.eZdZ ddfd Zdd ZxZS)rrFrnp.ndarray | TimedeltaIndexrrcboxrarerfc Xtj|fi|||_||_dSr)rrmrr)rkrrrrrs rlrmzTimedelta64Formatter.__init__:s6 **6*** rnrwcz|jp t|j|j|jfd|jDS)N)rrc&g|] }|Srrrs rlrz8Timedelta64Formatter._format_strings..Is!222 ! 222rn)rget_format_timedelta64rrr)rkrs @rlr+z$Timedelta64Formatter._format_stringsEsLN &< K48' ' ' 3222dk2222rnrF)rrrrcrrarerfrrr s@rlrr9s^       33333333rnrF,np.ndarray | TimedeltaIndex | TimedeltaArray str | floatrc |tj}|tk}d}||zdk}tj||}|dk}|rd nd  fd} | S)z Return a formatter function for a range of timedeltas. 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" >a # %  & B%  rn)rrf)rr-trimmedlengthspaddedrs ` @rlrcrcs G ('w'''GWJ))F Mrn str_floatcd|d}|dr|dz }|S)zX Trims trailing zeros after a decimal point, leaving just one if necessary. rr )rstripendswith)rs rlr/r/s=   %%I#S rn str_floatsnp.ndarray | list[str]c|}tjddd fd d fd }||rfd |D}||fd |D}|S) z Trims the maximum number of trailing zeros equally from all numbers containing decimals, leaving just one if necessary. z^\s*[\+-]?[0-9]+\z[0-9]*$rerac2tj|duSr)rmatch)r number_regexs rlis_number_with_decimalz1_trim_zeros_float..is_number_with_decimalsx a((44rnrrcxfd|D}t|dkotd|DS)z Determine if an array of strings should be trimmed. Returns True if all numbers containing decimals (defined by the above regular expression) within the array end in a zero, otherwise returns False. c*g|]}| |Srrrrrs rlrz:_trim_zeros_float..should_trim..s*BBB(>(>q(A(AB1BBBrnrc3@K|]}|dVdS)rNrrs rlrz9_trim_zeros_float..should_trim..s,'I'IA 3'I'I'I'I'I'Irn)rsrQ)rnumbersrs rl should_trimz&_trim_zeros_float..should_trimsLCBBBfBBB7||aIC'I'I'I'I'I$I$IIrnc>g|]}|r |ddn|S)Nrrrs rlrz%_trim_zeros_float..s6OOO!33A66=1SbS66AOOOrnc^g|])}|r|r|dzn|*S)rr)rrr-rs rlrz%_trim_zeros_float..sR *)!,,KG1D1DKC!rnr)rrrera)rcompile)rr-rrrrrs ` @@rlrdrdsG:C7CCCDDL555555 J J J J J J +g  POOOOwOOO +g  PF MrnrrCcdt|trtj|jS|jduSr)rrDcom any_not_nonerr)rs rlrLrLs1%$$&--z%%rnceZdZdZidddddddd d d d d ddddddddddddddddddd d!d"d#Z d1d2d,Zd3d0Zd$S)4 EngFormatterzl Formats float values according to engineering format. Based on matplotlib.ticker.EngFormatter iriziairipiniurYrrirrrjM GrTPEZYNFaccuracyruse_eng_prefixrarerfc"||_||_dSrr r!)rkr r!s rlrmzEngFormatter.__init__ s! ,rnnumfloatrcc,tt|}tj|rdStj|rdSd}|dkrd}| }|dkrGtt t j|dz dz}ntd}|t|j }| t|j }t |}|j r|j |}n|dkrd| d}nd |d}||zd |zz }|j d }n d |j dd}|||} | S)a Formats a number in engineering notation, appending a letter representing the power of 1000 of the original number. Some examples: >>> format_eng = EngFormatter(accuracy=0, use_eng_prefix=True) >>> format_eng(0) ' 0' >>> format_eng = EngFormatter(accuracy=1, use_eng_prefix=True) >>> format_eng(1_000_000) ' 1.0M' >>> format_eng = EngFormatter(accuracy=2, use_eng_prefix=False) >>> format_eng("-1e-6") '-1.00E-06' @param num: the value to represent @type num: either a numeric value or a string that can be converted to a numeric value (as per decimal.Decimal constructor) @return: engineering formatted string r\infrrrrzE-02dzE+rnNz{mant: g}{prefix}z{mant: .r.z f}{prefix})mantprefix)rrcis_nan is_infinitermathrrrr ENG_PREFIXESrer!r r) rkr$dnumsignpow10 int_pow10r*r) format_strr^s rl__call__zEngFormatter.__call__s(s3xx   >$   5  t $ $ 5 !88D5D 199C 4::<>> df = pd.DataFrame([1e-9, 1e-3, 1, 1e3, 1e6]) >>> df 0 0 1.000000e-09 1 1.000000e-03 2 1.000000e+00 3 1.000000e+03 4 1.000000e+06 >>> pd.set_eng_float_format(accuracy=1) >>> df 0 0 1.0E-09 1 1.0E-03 2 1.0E+00 3 1.0E+03 4 1.0E+06 >>> pd.set_eng_float_format(use_eng_prefix=True) >>> df 0 0 1.000n 1 1.000m 2 1.000 3 1.000k 4 1.000M >>> pd.set_eng_float_format(accuracy=1, use_eng_prefix=True) >>> df 0 0 1.0n 1 1.0m 2 1.0 3 1.0k 4 1.0M >>> pd.set_option("display.float_format", None) # unset option rN)rr r#s rlset_eng_float_formatr6Ns&n%|Hn'M'MNNNNNrnrirsentinelbool | object | strlist[dict[int, int]]c2t|dkrgSdgt|dz}g}|D]c}d}i}t|D]#\}}||r||krd||<||z ||<|}$t||z ||<||d|S)a For each index in each level the function returns lengths of indexes. Parameters ---------- levels : list of lists List of values on for level. sentinel : string, optional Value which states that no new index starts on there. Returns ------- Returns list of maps. For each level returns map of indexes (key is index in row and value is length of index). rTF)rsrr) rr7controlrr last_indexrrkeys rlget_level_lengthsr>s$ 6{{a fs6!9~~%G F &&  FAsqz cXoo" &'*n # !%jj:5  g MrnWriteBuffer[str]linesctd|Dr d|D}|d|dS)z Appends lines to a buffer. 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