makeCustomDataframe(nrows, ncols, c_idx_names=True, r_idx_names=True, c_idx_nlevels=1, r_idx_nlevels=1, data_gen_f=None, c_ndupe_l=None, r_ndupe_l=None, dtype=None, c_idx_type=None, r_idx_type=None)
default names or uses the provided names for the levels of the corresponding index. You can provide a single string when c_idx_nlevels ==1.
at that position, the default generator used yields values of the form "RxCy" based on position.
of duplicates for each label at a given level of the corresponding index. The default :None:None:`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.
have more control in conjunction with a custom :None:None:`data_gen_f`
If idx_type is not None, :None: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.
Create a DataFrame using supplied parameters.
# 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)
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