Changelog

v0.9.2

2023-05-25

Bug Fixes

• Fixed regression in but in date_format where it cannot deal with UTC timezone from timezone #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 of cmap_pal and cmap_d_pal has been deprecated and will removed in a future version.

• datetime_trans gained parameter tz that controls the timezone of the transformation.

• log_format gained boolean parameter mathtex for TeX values as understood matplotlib instead of values in scientific notation.

Bug Fixes

• Fixed bug in zero_range where uint64 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 with Nan and specify and old range that also has NaN, the result range does not include two NaN 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 integer sys.maxsize.

• Fixed mizani.palettes.gradient_n_pal() to return nan for nan 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 the

  order 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 like 3.000000000000001e-05.

API Changes

• exponent_threshold parameter of mizani.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() and

  meth:~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 uses log_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 a ValueError.

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() and mpl_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 by mizani.transforms.trans to compute breaks from mizani.breaks.mpl_breaks() to mizani.breaks.extended_breaks().

• mizani.breaks.timedelta_breaks() now uses mizani.breaks.extended_breaks() internally instead of mizani.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