@@ -1970,35 +1970,39 @@ def makeCustomDataframe(
19701970 r_idx_type = None ,
19711971):
19721972 """
1973- nrows, ncols - number of data rows/cols
1974- c_idx_names, idx_names - False/True/list of strings, yields No names ,
1975- default names or uses the provided names for the levels of the
1976- corresponding index. You can provide a single string when
1977- c_idx_nlevels ==1.
1978- c_idx_nlevels - number of levels in columns index. > 1 will yield MultiIndex
1979- r_idx_nlevels - number of levels in rows index. > 1 will yield MultiIndex
1980- data_gen_f - a function f(row,col) which return the data value
1981- at that position, the default generator used yields values of the form
1982- "RxCy" based on position.
1983- c_ndupe_l, r_ndupe_l - list of integers, determines the number
1984- of duplicates for each label at a given level of the corresponding
1985- index. The default `None` value produces a multiplicity of 1 across
1986- all levels, i.e. a unique index. Will accept a partial list of length
1987- N < idx_nlevels, for just the first N levels. If ndupe doesn't divide
1988- nrows/ncol, the last label might have lower multiplicity.
1989- dtype - passed to the DataFrame constructor as is, in case you wish to
1990- have more control in conjunction with a custom `data_gen_f`
1991- r_idx_type, c_idx_type - "i"/"f"/"s"/"u"/"dt"/"td".
1992- If idx_type is not None, `idx_nlevels` must be 1.
1993- "i"/"f" creates an integer/float index,
1994- "s"/"u" creates a string/unicode index
1995- "dt" create a datetime index.
1996- "td" create a timedelta index.
1997-
1998- if unspecified, string labels will be generated.
1973+ Create a DataFrame using supplied parameters.
19991974
2000- Examples:
1975+ Parameters
1976+ ----------
1977+ nrows, ncols - number of data rows/cols
1978+ c_idx_names, idx_names - False/True/list of strings, yields No names ,
1979+ default names or uses the provided names for the levels of the
1980+ corresponding index. You can provide a single string when
1981+ c_idx_nlevels ==1.
1982+ c_idx_nlevels - number of levels in columns index. > 1 will yield MultiIndex
1983+ r_idx_nlevels - number of levels in rows index. > 1 will yield MultiIndex
1984+ data_gen_f - a function f(row,col) which return the data value
1985+ at that position, the default generator used yields values of the form
1986+ "RxCy" based on position.
1987+ c_ndupe_l, r_ndupe_l - list of integers, determines the number
1988+ of duplicates for each label at a given level of the corresponding
1989+ index. The default `None` value produces a multiplicity of 1 across
1990+ all levels, i.e. a unique index. Will accept a partial list of length
1991+ N < idx_nlevels, for just the first N levels. If ndupe doesn't divide
1992+ nrows/ncol, the last label might have lower multiplicity.
1993+ dtype - passed to the DataFrame constructor as is, in case you wish to
1994+ have more control in conjunction with a custom `data_gen_f`
1995+ r_idx_type, c_idx_type - "i"/"f"/"s"/"u"/"dt"/"td".
1996+ If idx_type is not None, `idx_nlevels` must be 1.
1997+ "i"/"f" creates an integer/float index,
1998+ "s"/"u" creates a string/unicode index
1999+ "dt" create a datetime index.
2000+ "td" create a timedelta index.
2001+
2002+ if unspecified, string labels will be generated.
20012003
2004+ Examples
2005+ --------
20022006 # 5 row, 3 columns, default names on both, single index on both axis
20032007 >> makeCustomDataframe(5,3)
20042008
@@ -2514,7 +2518,6 @@ class RNGContext:
25142518
25152519 Examples
25162520 --------
2517-
25182521 with RNGContext(42):
25192522 np.random.randn()
25202523 """
@@ -2669,7 +2672,6 @@ def set_timezone(tz: str):
26692672
26702673 Examples
26712674 --------
2672-
26732675 >>> from datetime import datetime
26742676 >>> from dateutil.tz import tzlocal
26752677 >>> tzlocal().tzname(datetime.now())
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