Changelog¶
v0.9.2¶
2023-05-25
Bug Fixes¶
Fixed regression in but in
date_format
where it cannot deal with UTC timezone fromtimezone
#30.
v0.9.1¶
2023-05-19
Bug Fixes¶
Fixed but in
date_format
to handle datetime sequences within the same timezone but a mixed daylight saving state. (plotnine #687)
v0.9.0¶
2023-04-15
API Changes¶
palettable dropped as a dependency.
Bug Fixes¶
Fixed bug in
datetime_trans
where a pandas series with an index that did not start at 0 could not be transformed.Install tzdata on pyiodide/emscripten. #27
v0.8.1¶
2022-09-28
Bug Fixes¶
Fixed regression bug in
log_format
for where formatting for bases 2, 8 and 16 would fail if the values were float-integers.
Enhancements¶
log_format
now uses exponent notation for bases other than base 10.
v0.8.0¶
2022-09-26
API Changes¶
The
lut
parameter ofcmap_pal
andcmap_d_pal
has been deprecated and will removed in a future version.datetime_trans
gained parametertz
that controls the timezone of the transformation.log_format
gained boolean parametermathtex
for TeX values as understood matplotlib instead of values in scientific notation.
Bug Fixes¶
Fixed bug in
zero_range
whereuint64
values would cause a RuntimeError.
v0.7.4¶
2022-04-02
API Changes¶
comma_format
is now imported automatically when using*
.Fixed issue with
scale_discrete
so that if you train on data withNan
and specify and old range that also hasNaN
, the result range does not include twoNaN
values.
v0.7.3¶
(2020-10-29)
Bug Fixes¶
Fixed log_breaks for narrow range if base=2 (#76).
v0.7.2¶
(2020-10-29)
Bug Fixes¶
Fixed bug in
rescale_max()
to properly handle values whose maximum is zero (#16).
v0.7.1¶
(2020-06-05)
Bug Fixes¶
Fixed regression in
mizani.scales.scale_discrete.train()
when trainning on values with some categoricals that have common elements.
v0.7.0¶
(2020-06-04)
Bug Fixes¶
Fixed issue with
mizani.formatters.log_breaks
where non-linear breaks could not be generated if the limits where greater than the largest integersys.maxsize
.Fixed
mizani.palettes.gradient_n_pal()
to returnnan
fornan
values.Fixed
mizani.scales.scale_discrete.train()
when training categoricals to maintain the order. (plotnine #381)
v0.6.0¶
(2019-08-15)
New¶
Added
pvalue_format
Added
ordinal_format
Added
number_bytes_format
Added
pseudo_log_trans()
Added
reciprocal_trans
Added
modulus_trans()
Enhancements¶
mizani.breaks.date_breaks
now supports intervals in theorder of seconds.
mizani.palettes.brewer_pal
now supports a direction argument to control the order of the returned colors.
API Changes¶
boxcox_trans()
now only accepts positive values. For both positive and negative values,modulus_trans()
has been added.
v0.5.4¶
(2019-03-26)
Enhancements¶
mizani.formatters.log_format
now does a better job of approximating labels for numbers like3.000000000000001e-05
.
API Changes¶
exponent_threshold
parameter ofmizani.formatters.log_format
has been deprecated.
v0.5.3¶
(2018-12-24)
API Changes¶
Log transforms now default to
base - 2
minor breaks. So base 10 has 8 minor breaks and 9 partitions, base 8 has 6 minor breaks and 7 partitions, ..., base 2 has 0 minor breaks and a single partition.
v0.5.2¶
(2018-10-17)
Bug Fixes¶
Fixed issue where some functions that took pandas series would return output where the index did not match that of the input.
v0.5.1¶
(2018-10-15)
Bug Fixes¶
Fixed issue with
log_breaks
, so that it does not fail needlessly when the limits in the (0, 1) range.
Enhancements¶
Changed
log_format
to return better formatted breaks.
v0.5.0¶
(2018-11-10)
API Changes¶
Support for python 2 has been removed.
call()
andmeth:~mizani.breaks.trans_minor_breaks.call now accept optional parameter
n
which is the number of minor breaks between any two major breaks.
The parameter nan_value has be renamed to na_value.
The parameter nan_rm has be renamed to na_rm.
Enhancements¶
Better support for handling missing values when training discrete scales.
Changed the algorithm for
log_breaks
, it can now return breaks that do not fall on the integer powers of the base.
v0.4.6¶
(2018-03-20)
Added
squish
v0.4.5¶
(2018-03-09)
Added
identity_pal
Added
cmap_d_pal
v0.4.4¶
(2017-12-13)
Fixed
date_format
to respect the timezones of the dates (#8).
v0.4.3¶
(2017-12-01)
Changed
date_breaks
to have more variety in the spacing between the breaks.Fixed
date_format
to respect time part of the date (#7).
v0.4.2¶
(2017-11-06)
Fixed (regression) break calculation for the non ordinal transforms.
v0.4.1¶
(2017-11-04)
trans
objects can now be instantiated with parameter to override attributes of the instance. And the default methods for computing breaks and minor breaks on the transform instance are not class attributes, so they can be modified without global repercussions.
v0.4.0¶
(2017-10-24)
API Changes¶
Breaks and formatter generating functions have been converted to classes, with a
__call__
method. How they are used has not changed, but this makes them move flexible.ExtendedWilkson
class has been removed.extended_breaks()
now contains the implementation of the break calculating algorithm.
v0.3.4¶
(2017-09-12)
Fixed issue where some formatters methods failed if passed empty
breaks
argument.Fixed issue with
log_breaks()
where if the limits were with in the same order of magnitude the calculated breaks were always the ends of the order of magnitude.Now
log_breaks()((35, 50))
returns[35, 40, 45, 50]
as breaks instead of[1, 100]
.
v0.3.3¶
(2017-08-30)
Fixed SettingWithCopyWarnings in
squish_infinite()
.Added
log_format()
.
API Changes¶
Added
log_trans
now useslog_format()
as the formatting method.
v0.3.2¶
(2017-07-14)
Added
expand_range_distinct()
v0.3.1¶
(2017-06-22)
Fixed bug where using
log_breaks()
with Numpy 1.13.0 led to aValueError
.
v0.3.0¶
(2017-04-24)
Added
xkcd_palette()
, a palette that selects from 954 named colors.Added
crayon_palette()
, a palette that selects from 163 named colors.Added
cubehelix_pal()
, a function that creates a continuous palette from the cubehelix system.Fixed bug where a color palette would raise an exception when passed a single scalar value instead of a list-like.
extended_breaks()
andmpl_breaks()
now return a single break if the limits are equal. Previous, one run into an Overflow and the other returned a sequence filled with n of the same limit.
API Changes¶
mpl_breaks()
now returns a function that (strictly) expects a tuple with the minimum and maximum values.
v0.2.0¶
(2017-01-27)
Fixed bug in
censor()
where a sequence of values with an irregular index would lead to an exception.Fixed boundary issues due internal loss of precision in ported function
seq()
.Added
mizani.breaks.extended_breaks()
which computes breaks using a modified version of Wilkinson's tick algorithm.Changed the default function
mizani.transforms.trans.breaks_()
used bymizani.transforms.trans
to compute breaks frommizani.breaks.mpl_breaks()
tomizani.breaks.extended_breaks()
.mizani.breaks.timedelta_breaks()
now usesmizani.breaks.extended_breaks()
internally instead ofmizani.breaks.mpl_breaks()
.Added manual palette function
mizani.palettes.manual_pal()
.Requires pandas version 0.19.0 or higher.
v0.1.0¶
(2016-06-30)
First public release