View Source Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.


v0.8.3 - 2024-06-10


  • Add new data type for datetimes with timezones: {:datetime, precision, time_zone} The old dtype is now {:naive_datetime, precision}.

  • Add option to rechunk the dataframes when using Explorer.DataFrame.from_parquet/3


  • Change the {:datetime, precision} dtype to {:naive_datetime, precision}. The idea is to mirror Elixir's datetime, and introduce support for time zones. Please note: {:datetime, precision} will work as an alias for {:naive_datetime, precision} for now but will raise a warning. The alias will be removed in a future release.

  • Literal %NaiveDateTime{} structs used in expressions will now have :microsecond precision. Previously they defaulted to :nanosecond precision. This was incorrect because %NaiveDateTime{} structs only have :microsecond precision.


v0.8.2 - 2024-04-22


  • Add functions to work with strings and regexes.

    Some of the functions have the prefix "re_", because they accept a string that represents a regular expression.

    There is an important detail: we do not accept Elixir regexes, because we cannot guarantee that the backend supports it. Instead we accept a plain string that is "escaped". This means that you can use the ~S sigil to build that string. Example: ~S/(a|b)/.

    The added functions are the following:

  • Enable the usage of system certificates if OTP version 25 or above.

  • Add support for the :streaming option in Explorer.DataFrame.to_csv/3.

  • Support operations with groups in the Lazy Polars backend. This change makes the lazy frame implementation more useful, by supporting the usage of groups in following functions:


  • We now avoid raising an exception if a non existent column is used in Explorer.DataFrame.discard/2.

  • Make the dependency of cacerts optional. This is because people using Erlang/OTP 25 or above can use the certificates provided by the system. So you may need to add the dependency of cacerts if your OTP version is older than that.

  • Some precision differences in float operations may appear. This is due to an update in the Polars version to "v0.38.1". Polars is our default backend.


  • Fix Explorer.Series.split/2 inside the context of Explorer.Query.

  • Add optional X-Amz-Security-Token header to S3 request. This is needed in case the user is passing down a token for authentication.

  • Fix Explorer.DataFrame.sort_by/3 with groups to respect :nils option. This is considering only the eager implementation.

  • Fix inspection of lazy frames in remote nodes.

v0.8.1 - 2024-02-24



  • Remove some deprecated functions from documentation.

  • Change internal representation of the :struct dtype to use list of tuples instead of a map to represent the dtypes of each field. This shouldn't break because we normalise maps to lists when a struct dtype is passed in from_list/2 or cast/2.

  • Update Rustler minimum version to ~> 0.31. Since Rustler is optional, this shouldn't affect most of the users.


  • Fix float overflow error to avoid crashing the VM, and instead it returns an argument error.

  • Fix Explorer.DataFrame.print/2 for when the DF contains structs.

v0.8.0 - 2024-01-20


  • Add explode/2 to Explorer.DataFrame. This function is useful to expand the contents of a {:list, inner_dtype} series into a "inner_dtype" series.

  • Add the new series functions all?/1 and any?/1, to work with boolean series.

  • Add support for the "struct" dtype. This new dtype represents the struct dtype from Polars/Arrow.

  • Add map/2 and map_with/2 to the Explorer.Series module. This change enables the usage of the Explore.Query features in a series.

  • Add sort_by/2 and sort_with/2 to the Explorer.Series module. This change enables the usage of the lazy computations and the Explorer.Query module.

  • Add unnest/2 to Explorer.DataFrame. It works by taking the fields of a "struct" - the new dtype - and transform them into columns.

  • Add pairwise correlation - Explorer.DataFrame.correlation/2 - to calculate the correlation between numeric columns inside a data frame.

  • Add pairwise covariance - Explorer.DataFrame.covariance/2 - to calculate the covariance between numeric columns inside a data frame.

  • Add support for more integer dtypes. This change introduces new signed and unsigned integer dtypes:

    • {:s, 8}, {:s, 16}, {:s, 32}
    • {:u, 8}, {:u, 16}, {:u, 32}, {:u, 64}.

    The existing :integer dtype is now represented as {:s, 64}, and it's still the default dtype for integers. But series and data frames can now work with the new dtypes. Short names for these new dtypes can be used in functions like Explorer.Series.from_list/2. For example, {:u, 32} can be represented with the atom :u32.

    This may bring more interoperability with Nx, and with Arrow related things, like ADBC and Parquet.

  • Add ewm_standard_deviation/2 and ewm_variance/2 to Explorer.Series. They calculate the "exponentially weighted moving" variance and standard deviation.

  • Add support for :skip_rows_after_header option for the CSV reader functions.

  • Support {:list, numeric_dtype} for Explorer.Series.frequencies/1.

  • Support pins in cond, inside the context of Explorer.Query.

  • Introduce the :null dtype. This is a special dtype from Polars and Apache Arrow to represent "all null" series.

  • Add Explorer.DataFrame.transpose/2 to transpose a data frame.


  • Rename the functions related to sorting/arranging of the Explorer.DataFrame. Now arrange_with is named sort_with, and arrange is sort_by.

    The sort_by/3 is a macro and it is going to work using the Explorer.Query module. On the other side, the sort_with/2 uses a callback function.

  • Remove unnecessary casts to {:s, 64} now that we support more integer dtypes. It affects some functions, like the following in the Explorer.Series module:

    • argsort
    • count
    • rank
    • day_of_week, day_of_year, week_of_year, month, year, hour, minute, second
    • abs
    • clip
    • lengths
    • slice
    • n_distinct
    • frequencies

    And also some functions from the Explorer.DataFrame module:

    • mutate - mostly because of series changes
    • summarise - mostly because of series changes
    • slice


  • Fix inspection of series and data frames between nodes.

  • Fix cast of :string series to {:datetime, any()}

  • Fix mismatched types in Explorer.Series.pow/2, making it more consistent.

  • Normalize sorting options.

  • Fix functions with dtype mismatching the result from Polars. This fix is affecting the following functions:

    • quantile/2 in the context of a lazy series
    • mode/1 inside a summarisation
    • strftime/2 in the context of a lazy series
    • mutate_with/2 when creating a column from a NaiveDateTime or Explorer.Duration.

v0.7.2 - 2023-11-30


  • Add the functions day_of_year/1 and week_of_year/1 to Explorer.Series.

  • Add filter/2 - a macro -, and filter_with/2 to Explorer.Series.

    This change enables the usage of queries - using Explorer.Query - when filtering a series. The main difference is that series does not have a name when used outside a dataframe. So to refer to itself inside the query, we can use the special _ variable.

      iex> s = Explorer.Series.from_list([1, 2, 3])
      iex> Explorer.Series.filter(s, _ > 2)
        integer [3]
  • Add support for the {:list, any()} dtype, where any() can be any other valid dtype. This is a recursive dtype, that can represent nested lists. It's useful to group data together in the same series.

  • Add Explorer.Series.mode/2 to get the most common value(s) of the series.

  • Add split/2 and join/2 to the Explorer.Series module. These functions are useful to split string series into {:list, :string}, or to join parts of a {:list, :string} and return a :string series.

  • Expose ddof option for variance, covariance and standard deviation.

  • Add a new {:f, 32} dtype to represent 32 bits float series. It's also possible to use the atom :f32 to create this type of series. The atom :f64 can be used as an alias for {:f, 64}, just like the :float atom.

  • Add lengths/1 and member?/2 to Explorer.Series. These functions work with {:list, any()}, where any() is any valid dtype. The idea is to count the members of a "list" series, and check if a given value is member of a list series, respectively.

  • Add support for streaming parquet files from a lazy dataframe to AWS S3 compatible services.


  • Remove restriction on pivot_wider dtypes. In the early days, Polars only supported numeric dtypes for the "first" aggregation. This is not true anymore, and we can lift this restriction.

  • Change :float dtype to be represented as {:f, 64}. It's still possible to use the atom :float to create float series, but now Explorer.Series.dtype/1 returns {:f, 64} for float 64 bits series.


  • Add missing implementation of Explorer.Series.replace/3 for lazy series.

  • Fix inspection of DFs and series when limit: :infinity is used.


  • Drop support for the riscv64gc-unknown-linux-gnu target.

    We decided to stop precompiling to this target because it's been hard to maintain it. Ideally we should support it again in the future.

v0.7.1 - 2023-09-25


  • Add more temporal arithmetic operations. This change makes possible to mix some datatypes, like date, duration and scalar types like integers and floats.

    The following operations are possible now:

    • date - date
    • date + duration
    • date - duration
    • duration + date
    • duration * integer
    • duration * float
    • duration / integer
    • duration / float
    • integer * duration
    • float * duration
  • Support lazy dataframes on Explorer.DataFrame.print/2.

  • Add support for strings as the "indexes" of Explorer.Series.categorise/2. This makes possible to categorise a string series with a categories series.

  • Introduce cond/1 support in queries, which enables multi-clause conditions. Example of usage:

        iex> df = [10, 4, 6])
        iex> DF.mutate(df,
        ...>   b:
        ...>     cond do
        ...>       a > 9 -> "Exceptional"
        ...>       a > 5 -> "Passed"
        ...>       true -> "Failed"
        ...>     end
        ...> )
          Polars[3 x 2]
          a integer [10, 4, 6]
          b string ["Exceptional", "Failed", "Passed"]
  • Similar to cond/1, this version also introduces support for the if/2 and unless/2 macros inside queries.

  • Allow the usage of scalar booleans inside queries.

  • Add Explorer.Series.replace/3 for string series. This enables the replacement of patterns inside string series.


  • Deprecate Explorer.DataFrame.to_lazy/1 in favor of just lazy/1.


  • Fix the function to work with series of the :category dtype.

    Now, if both series shares the same categories, we can compare them. To make sure that a categorical series shares the same categories from another series, you must create that series using the Explorer.Series.categorise/2 function.

  • Display the dtype of duration series correctly in Explorer.DataFrame.print/2.

v0.7.0 - 2023-08-28


  • Enable reads and writes of dataframes from/to external file systems.

    It supports HTTP(s) URLs or AWS S3 locations.

    This feature introduces the FSS abstraction, which is also going to be present in newer versions of Kino. This is going to make the integration of Livebook files with Explorer much easier.

    The implementation is done differently, depending on which file format is used, and if it's a read or write. All the writes to AWS S3 are done in the Rust side - using an abstraction called CloudWriter -, and most of the readers are implemented in Elixir, by doing a download of the files, and then loading the dataframe from it. The only exception is the reads of parquet files, which are done in Rust, using Polars' scan_parquet with streaming.

    We want to give a special thanks to Qqwy / Marten for the CloudWriter implementation!

  • Add ADBC: Arrow Database Connectivity.

    Continuing with improvements in the IO area, we added support for reading dataframes from databases using ADBC, which is similar in idea to ODBC, but integrates much better with Apache Arrow, that is the backbone of Polars - our backend today.

    The function Explorer.DataFrame.from_query/1 is the entrypoint for this feature, and it allows quering databases like PostgreSQL, SQLite and Snowflake.

    Check the Elixir ADBC bindings docs for more information.

    For the this feature, we had a fundamental contribution from Cocoa in the ADBC bindings, so we want to say a special thanks to her!

    We want to thank the people that joined José in his live streamings on Twitch, and helped to build this feature!

  • Add the following functions to Explorer.Series:

  • Add duration dtypes. This is adds the following dtypes:

    • {:duration, :nanosecond}
    • {:duration, :microsecond}
    • {:duration, :millisecond}

    This feature was a great contribution from Billy Lanchantin, and we want to thank him for this!


  • Return exception structs instead of strings for all IO operation errors, and for anything that returns an error from the NIF integration.

    This change makes easier to define which type of error we want to raise.

  • Update Polars to v0.32.

    With that we made some minor API changes, like changing some options for cut/qcut operations in the Explorer.Series module.

  • Use nil_values instead of null_character for IO operations.

  • Never expect nil for CSV IO dtypes.

  • Rename Explorer.DataFrame.table/2 to Explorer.DataFrame.print/2.

  • Change :datetime dtype to be {:datetime, time_unit}, where time unit can be the following:

    • :millisecond
    • :microsecond
    • :nanosecond
  • Rename the following Series functions:

    • trim/1 to strip/2
    • trim_leading/1 to lstrip/2
    • trim_trailing/1 to rstrip/2

    These functions now support a string argument.


v0.6.1 - 2023-07-06


  • Fix summarise without groups for lazy frames.

v0.6.0 - 2023-07-05


  • Add support for OTP 26 and Elixir 1.15.

  • Allow Explorer.DataFrame.summarise/2 to work without groups. The aggregations can work considering the entire dataframe.

  • Add the following series functions: product/1, cummulative_product/1, abs/1, skew/2, window_standard_deviation/3, rank/2, year/1, mounth/1, day/1, hour/1, minute/1, second/1, strptime/2, strftime/2, argmin/1, argmax/1, cut/3, qcut/3, correlation/3, covariance/2 and clip/3.

    They cover a lot in terms of functionality, so please check the Explorer.Series docs for further details.

  • Add Explorer.DataFrame.nil_count/1 that counts the number of nil elements in each column.

  • Add Explorer.DataFrame.frequencies/2 that creates a new dataframe with unique rows and the frequencies of each.

  • Add Explorer.DataFrame.relocate/3 that enables changing order of columns from a df.

  • Add precompiled NIFs for FreeBSD.

  • Support scalar values in the on_true and on_false arguments of


  • Fix Series.day_of_week/1 and Series.round/2 for operations using a lazy frame.

  • Fix upcasted date to datetime for literal expressions. It allows to use scalar dates in expressions like this: DF.mutate(a: ~D[2023-01-01]). This also fixes the support for naive datetimes.

  • Improve error messages returned from the NIF to be always strings. Now we add more context to the string returned, instead of having {:context, error_message}.

  • Fix the :infer_schema_length option of Explorer.DataFrame.from_csv/2 when passing nil. Now it's possible to take into account the entire file to infer the schema.


v0.5.7 - 2023-05-10



  • Fix nif_not_loaded error when Explorer.Series.ewm_mean/2 is called from query.

  • Type check arguments for boolean series operations, only allowing series of the boolean dtype.

  • Do not use ../0 in order to keep compatible with Elixir 1.13


  • Temporarely remove support for ARM 32 bits computers in the precompilation workflow.

v0.5.6 - 2023-03-24


  • Add the following functions to the Explorer.Series module: log/1, log/2 and exp/1. They compute the logarithm and exponential of a series.


  • Allow to receive series of size 1 for both the on_true and on_false arguments.

  • Fix the encoding of special float values that may return from some series functions. This is going to encode the atoms for NaN and infinity values.

v0.5.5 - 2023-03-13


  • Add support for multiple value columns in pivot wider. The resultant dataframe that is created from this type of pivoting is going to have columns with the names prefixed by the original value column, followed by an underscore and the name of the variable.

  • Add Explorer.Series.ewm_mean/2 for calculating exponentially weighted moving average.


  • Change the Explorer.Backend.DataFrame's pivot_wider callback to work with multiple columns instead of only one.

  • Change the Explorer.Backend.DataFrame's window_* callbacks to work with variables instead of keyword args. This is needed to make explicit when a backend is not implementing an option.

  • Change the Explorer.Backend.DataFrame's describe callback and remove the need for an "out df", since we won't have a lazy version of that funcion.

  • This shouldn't affect the API, but we had an update in Polars. It is now using v0.27.2. For further details, see: Rust Polars 0.27.0.


  • Provide hints when converting string/binary series to tensors.

  • Add libatomic as a link to the generated NIF. This is needed to fix the load of the Explorer NIF when running on ARM 32 bits machines like the Pi 3. See the original issue

v0.5.4 - 2023-03-09


  • Fix missing "" file in the list of package files. Our readme is now required in compilation, because it contains the moduledoc for the main Explorer module.

v0.5.3 - 2023-03-08


  • Add the Explorer.Series.format/1 function that concatenates multiple series together, always returning a string series.

  • With the addition of format/1, we also have a new operator for string concatenation inside Explorer.Query. It is the <> operator, that is similar to what the Kernel.<>/2 operator does, but instead of concatenating strings, it concatenates two series, returning a string series - it is using format/1 underneath.

  • Add support for slicing by series in dataframes and other series.

  • Add support for 2D tensors in


  • Fix to respect the selected dtype when an entire series is nil.

  • Improve error message for mismatched dtypes in series operations.

  • Fix lazy series operations of binary series and binary values. This is going to wrap binary values in the correct dtype, in order to pass down to Polars.

  • Fix two bugs in Explorer.DataFrame.pivot_wider/3: nil values in the series that is used for new column names is now correctly creating a nil column. We also fixed the problem of a duplicated column created after pivoting, and possibly conflicting with an existing ID column. We add a suffix for these columns.

v0.5.2 - 2023-02-28


  • Add across and comprehensions to Explorer.Query. These features allow a more flexible and elegant way to work with multiple columns at once. Example:

    iris = Explorer.Datasets.iris()
     for col <- across(["sepal_width", "sepal_length", "petal_length", "petal_width"]) do
       {, (col - mean(col)) / variance(col)}

    See the Explorer.Query documentation for further details.

  • Add support for regexes to select columns of a dataframe. Example:

    df =
  • Add the :max_rows and :columns options to Explorer.DataFrame.from_parquet/2. This mirrors the from_csv/2 function.

  • Allow Explorer.Series functions that accept floats to work with :nan, :infinity and :neg_infinity values.

  • Add Explorer.DataFrame.shuffle/2 and Explorer.Series.shuffle/2.

  • Add support for a list of filters in Explorer.DataFrame.filter/2. These filters are joined as and expressions.



v0.5.1 - 2023-02-17


  • Add boolean dtype to

  • Add binary dtype to

  • Add Series.day_of_week/1.

  • Allow Series.fill_missing/2 to:

    • receive :infinity and :neg_infinity values.
    • receive date and datetime values.
    • receive binary values.
  • Add support for time dtype.

  • Add version of Series.pow/2 that accepts series on both sides.

  • Allow Series.from_list/2 to receive :nan, :infinity and :neg_infinity atoms.

  • Add Series.to_date/1 and Series.to_time/1 for datetime series.

  • Allow casting of string series to category.

  • Accept tensors when creating a new dataframe.

  • Add compatibility with Nx v0.5.

  • Add support for Nx's serialize and deserialize.

  • Add the following function implementations for the Polars' Lazy dataframe backend:

    • arrange_with
    • concat_columns
    • concat_rows
    • distinct
    • drop_nil
    • filter_with
    • join
    • mutate_with
    • pivot_longer
    • rename
    • summarise_with
    • to_parquet

    Only summarise_with supports groups for this version.


  • Require version of Rustler to be ~> 0.27.0, which mirrors the NIF requirement.


  • Casting to an unknown dtype returns a better error message.

v0.5.0 - 2023-01-12


  • Add DataFrame.describe/2 to gather some statistics from a dataframe.

  • Add Series.nil_count/1 to count nil values.

  • Add to check if a given value is inside a series.

  • Add Series float predicates: is_finite/1, is_infinite/1 and is_nan/1.

  • Add Series string functions: contains/2, trim/1, trim_leading/1, trim_trailing/1, upcase/1 and downcase/1.

  • Enable slicing of lazy frames (LazyFrame).

  • Add IO operations "from/load" to the lazy frame implementation.

  • Add support for the :lazy option in the function.

  • Add Series float rounding methods: round/2, floor/1 and ceil/1.

  • Add support for precompiling to Linux running on RISCV CPUs.

  • Add support for precompiling to Linux - with musl - running on AARCH64 computers.

  • Allow to receive the :dtypes option.

  • Accept :nan as an option for Series.fill_missing/2 with float series.

  • Add basic support for the categorical dtype - the :category dtype.

  • Add Series.categories/1 to return categories from a categorical series.

  • Add Series.categorise/2 to categorise a series of integers using predefined categories.

  • Add Series.replace/2 to replace the contents of a series.

  • Support selecting columns with unusual names (like with spaces) inside Explorer.Query with col/1.

    The usage is like this:

    Explorer.DataFrame.filter(df, col("my col") > 42)


  • Fix DataFrame.mutate/2 using a boolean scalar value.
  • Stop leaking UInt32 series to Elixir.
  • Cast numeric columns to our supported dtypes after IO read. This fix is only applied for the eager implementation for now.


  • Rename Series.bintype/1 to Series.iotype/1.

v0.4.0 - 2022-11-29


  • Add Series.quotient/2 and Series.remainder/2 to work with integer division.

  • Add Series.iotype/1 to return the underlying representation type.

  • Allow series on both sides of binary operations, like: add(series, 1) and add(1, series).

  • Allow comparison, concat and coalesce operations on "(series, lazy series)".

  • Add lazy version of Series.sample/3 and Series.size/1.

  • Add support for Arrow IPC Stream files.

  • Add Explorer.Query and the macros that allow a simplified query API. This is a huge improvement to some of the main functions, and allow refering to columns as they were variables.

    Before this change we would need to write a filter like this:

    Explorer.DataFrame.filter_with(df, &Explorer.Series.greater(&1["col1"], 42))

    But now it's also possible to write this operation like this:

    Explorer.DataFrame.filter(df, col1 > 42)

    This operation is going to use filter_with/2 underneath, which means that is going to use lazy series and compute the results at once. Notice that is mandatory to "require" the DataFrame module, since these operations are implemented as macros.

    The following new macros were added:

    • filter/2
    • mutate/2
    • summarise/2
    • arrange/2

    They substitute older versions that did not accept the new query syntax.

  • Add DataFrame.put/3 to enable adding or replacing columns in a eager manner. This works similar to the previous version of mutate/2.

  • Add operation that enables selecting a value from two series based on a predicate.

  • Add "dump" and "load" functions to IO operations. They are useful to load or dump dataframes from/to memory.

  • Add Series.to_iovec/2 and Series.to_binary/1. They return the underlying representation of series as binary. The first one returns a list of binaries, possibly with one element if the series is contiguous in memory. The second one returns a single binary representing the series.

  • Add Series.shift/2 that shifts the series by an offset with nil values.

  • Rename Series.fetch!/2 and Series.take_every/2 to and Series.at_every/2.

  • Add DataFrame.discard/2 to drop columns. This is the opposite of select/2.

  • Implement Nx.LazyContainer for Explorer.DataFrame and Explorer.Series so data can be passed into Nx.

  • Add Series.not/1 that negates values in a boolean series.

  • Add the :binary dtype for Series. This enables the usage of arbitrary binaries.


  • Change DataFrame's to_* functions to return only :ok.
  • Change series inspect to resamble the dataframe inspect with the backend name.
  • Rename Series.var/1 to Series.variance/1
  • Rename Series.std/1 to Series.standard_deviation/1
  • Rename Series.count/2 to Series.frequencies/1 and add a new Series.count/1 that returns the size of an "eager" series, or the count of members in a group for a lazy series. In case there is no groups, it calculates the size of the dataframe.
  • Change the option to control direction in Series.sort/2 and Series.argsort/2. Instead of a boolean, now we have a new option called :direction that accepts :asc or :desc.


  • Fix the following DataFrame functions to work with groups:
    • filter_with/2
    • head/2
    • tail/2
    • slice/2
    • slice/3
    • pivot_longer/3
    • pivot_wider/4
    • concat_rows/1
    • concat_columns/1
  • Improve the documentation of functions that behave differently with groups.
  • Fix arrange_with/2 to use "group by" stable, making results more predictable.
  • Add nil as a possible return value of aggregations.
  • Fix the behaviour of Series.sort/2 and Series.argsort/2 to add nils at the front when direction is descending, or at the back when the direction is ascending. This also adds an option to control this behaviour.


  • Remove support for NDJSON read and write for ARM 32 bits targets. This is due to a limitation of a dependency of Polars.

v0.3.1 - 2022-09-09


  • Define multiply inside *_with operations.
  • Fix column types in several operations, such as n_distinct.

v0.3.0 - 2022-09-01


  • Add DataFrame.concat_columns/1 and DataFrame.concat_columns/2 for horizontally stacking dataframes.

  • Add compression as an option to write parquet files.

  • Add count metadata to DataFrame table reader.

  • Add DataFrame.filter_with/2, DataFrame.summarise_with/2, DataFrame.mutate_with/2 and DataFrame.arrange_with/2. They all accept a DataFrame and a function, and they all work with a new concept called "lazy series".

    Lazy Series is an opaque representation of a series that can be used to perform complex operations without pulling data from the series. This is faster than using masks. There is no big difference from the API perspective compared to the functions that were accepting callbacks before (eg. filter/2 and the new filter_with/2), with the exception being DataFrame.summarise_with/2 that now accepts a lot more operations.


  • Bump version requirement of the table dependency to ~> 0.1.2, and raise for non-tabular values.
  • Normalize how columns are handled. This changes some functions to accept one column or a list of columns, ranges, indexes and callbacks selecting columns.
  • Rename DataFrame.filter/2 to DataFrame.mask/2.
  • Rename Series.filter/2 to Series.mask/2.
  • Rename take/2 from both Series and DataFrame to slice/2. slice/2 now they accept ranges as well.
  • Raise an error if DataFrame.pivot_wider/4 has float columns as IDs. This is because we can´t properly compare floats.
  • Change DataFrame.distinct/2 to accept columns as argument instead of receiving it as option.


  • Ensure that we can compare boolean series in functions like Series.equal/2.
  • Fix rename of columns after summarise.
  • Fix inspect of float series containing NaN or Infinity values. They are represented as atoms.


  • Deprecate DataFrame.filter/2 with a callback in favor of DataFrame.filter_with/2.

v0.2.0 - 2022-06-22


  • Consistently support ranges throughout the columns API
  • Support negative indexes throughout the columns API
  • Integrate with the table package
  • Add Series.to_enum/1 for lazily traversing the series
  • Add Series.coalesce/1 and Series.coalesce/2 for finding the first non-null value in a list of series


  • Series.length/1 is now Series.size/1 in keeping with Elixir idioms
  • Nx is now an optional dependency
  • Minimum Elixir version is now 1.13
  • DataFrame.to_map/2 is now DataFrame.to_columns/2 and DataFrame.to_series/2
  • Rustler is now an optional dependency
  • read_ and write_ IO functions are now from_ and to_
  • to_binary is now dump_csv
  • Now uses polars's "simd" feature
  • Now uses polars's "performant" feature
  • Explorer.default_backend/0 is now Explorer.Backend.get/0
  • Explorer.default_backend/1 is now Explorer.Backend.put/1
  • Series.cum_* functions are now Series.cumulative_* to mirror Nx
  • Series.rolling_* functions are now Series.window_* to mirror Nx
  • reverse? is now an option instead of an argument in Series.cumulative_* functions
  • DataFrame.from_columns/2 and DataFrame.from_rows/2 is now
  • Rename "col" to "column" throughout the API
  • Remove "with_" prefix in options throughout the API
  • DataFrame.table/2 accepts options with :limit instead of single integer
  • rename/2 no longer accepts a function, use rename_with/2 instead
  • rename_with/3 now expects the function as the last argument


  • Explorer now works on Linux with musl

v0.1.1 - 2022-04-27


  • Updated Rust dependencies to address Dependabot security alerts: 1, 2, 3

v0.1.0 - 2022-04-26

First release.