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If idx_type is not None, `idx_nlevels` must be 1. "i"/"f" creates an integer/float index, "s"/"u" creates a string/unicode index "dt" create a datetime index. "td" create a datetime index. if unspecified, string labels will be generated. 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You can provide a single string when c_idx_nlevels ==1. c_idx_nlevels - number of levels in columns index. > 1 will yield MultiIndex r_idx_nlevels - number of levels in rows index. > 1 will yield MultiIndex data_gen_f - a function f(row,col) which return the data value at that position, the default generator used yields values of the form "RxCy" based on position. c_ndupe_l, r_ndupe_l - list of integers, determines the number of duplicates for each label at a given level of the corresponding index. The default `None` value produces a multiplicity of 1 across all levels, i.e. a unique index. Will accept a partial list of length N < idx_nlevels, for just the first N levels. If ndupe doesn't divide nrows/ncol, the last label might have lower multiplicity. dtype - passed to the DataFrame constructor as is, in case you wish to have more control in conjunction with a custom `data_gen_f` r_idx_type, c_idx_type - "i"/"f"/"s"/"u"/"dt"/"td". If idx_type is not None, `idx_nlevels` must be 1. "i"/"f" creates an integer/float index, "s"/"u" creates a string/unicode index "dt" create a datetime index. "td" create a timedelta index. if unspecified, string labels will be generated. Examples -------- # 5 row, 3 columns, default names on both, single index on both axis >> makeCustomDataframe(5,3) # make the data a random int between 1 and 100 >> mkdf(5,3,data_gen_f=lambda r,c:randint(1,100)) # 2-level multiindex on rows with each label duplicated # twice on first level, default names on both axis, single # index on both axis >> a=makeCustomDataframe(5,3,r_idx_nlevels=2,r_ndupe_l=[2]) # DatetimeIndex on row, index with unicode labels on columns # no names on either axis >> a=makeCustomDataframe(5,3,c_idx_names=False,r_idx_names=False, r_idx_type="dt",c_idx_type="u") # 4-level multindex on rows with names provided, 2-level multindex # on columns with default labels and default names. >> a=makeCustomDataframe(5,3,r_idx_nlevels=4, r_idx_names=["FEE","FIH","FOH","FUM"], c_idx_nlevels=2) >> a=mkdf(5,3,r_idx_nlevels=2,c_idx_nlevels=4) rNr'rr")rDr.rrErFRcSsd|d|S)NrLr"r)rr rrrz%makeCustomDataframe..cs$g|]fddtDqS)csg|]}|qSrrr ) data_gen_frMrrrsz2makeCustomDataframe...)r9)rrPncols)rMrrsz'makeCustomDataframe..r)rrKr9r)nrowsrRZ c_idx_namesZ r_idx_namesZ c_idx_nlevelsZ r_idx_nlevelsrPZ c_ndupe_lZ r_ndupe_lrZ c_idx_typeZ r_idx_typerrr rrQrmakeCustomDataframes@H   rTc s|dkrtj}n tj|}td|d}d}t||}fdd}|||}|jkr|d9}|||}qdt|dt} || t} | | fS)Nrr gRQ?cs.|t|}tt|dSr)rrruniquefloor)rngZ _extra_sizeindrRrSrrr_gen_unique_rand#sz-_create_missing_idx.._gen_unique_randg?r) rrrroundminrrVZastypertolist) rSrRdensity random_stateZmin_rowsZfac extra_sizerZrXrHr(rrYr_create_missing_idxs    ra?cCs0t}t|j||d\}}tj|j||f<|S)N)r^r_)rrashaperrur)r^r_rr(rHrrrmakeMissingDataframe1srdrcsFdks tdk r(tks(tddlfdd}|S)a  Decorator to run the same function multiple times in parallel. 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