Release history

March 20, 2020 - 1.7.0

Features

  • Drop missing values

    With the new transformation "Dropping missing (NA) values", you can quickly drop all missing values in one or multiple columns

  • Reorder columns 🔁

    Move columns to the front or back of your DataFrame or place them wherever you want.

  • Binning 🚮

    Categorise numeric values with your new binning feature

  • Groupby / aggregate

    We added new selection options. Apply groupby functions on all columns, on all columns matching a data type or on all columns matching a regular expression.

Improvements

  • We enlarged the code box in the "Add Python code" transformation so that you can add larger snippets more easily

March 02, 2020 - 1.6.0

Features

  • Create Pivot Tables📑

    Create full fletched pivot tables, including code export.

  • Create multiple aggregations for one column faster than ever 💪

    Apply multiple aggregation functions on a column quickly through a multi-select dropdown

  • Support for categorical dtype

    Convert string columns into categorical ones to save memory.

Other improvements

  • Rename columns during groupby / aggregate

  • Quick edit the last transformation from the main control panel

February 17, 2020 - 1.5.0

Features

  • Plot Creator📊

    We added a new plot creator that lets you quickly build interactive plotly express graphs. You can also export the code for further customization. The creator works with the most important plot figure types. In case you are missing a specific figure type, please let us know.

Other Improvements

  • Public license file for automatic activation

    We provide a public license file under ~/.bamboolib/LICENSE that can be used for automatic license activation in docker or on other computers / VMs

  • New styling🎨

    We replaced the close, back, and delete buttons with icons, among others

February 3, 2020 - 1.4.1

Added a README to pypi.org. It was about time! 🙂

February 3, 2020 - 1.4.0

Features

  • Keyboard support - Part 2 In order to further improve the user experience when working with the keyboard, we replaced all transformation buttons from the main panel with one text input field, which means that all transformations are now fully searchable via the keyboard.

Other Improvements

  • Better experience when working with the keyboard

    When starting a transformation, the first input is always focused. Also, users can select values from the dropdown using tab.

  • Live code export

    We made improvements on the user experience based on user feedback.

  • More plugin examples We added more examples to our plugin docs, e.g. a plugin example for how to write a custom aggregation function and a plugin showing how you can extract attributes from time delta columns (If you these plugins to become part of our core functionalities, please send us an email).

  • Improved merge

    If the user selects a key for df_left and there is a key with the same name in df_right, we will automatically select that key. Also, the exported code simplifies when a merge with same keys has been carried out.

  • Text transformations (such as "filter" and "replace values") support case-sensitivity and regular expressions now.

  • "rename", "string manipulations", and "extract datetime attributes" are top-level transformations now and available via search.

  • After importing bamboolib, you don't need to call bam.enable() anymore in order to show bamboolib when printing df.

  • We removed the normalization step which made sure that the dataframe index is always a RangeIndex.

January 20, 2020 - 1.3.0🎉

Features

  • Keyboard support Transformations can now be created via typing on the keyboard - including auto-completion at every step. Mouse is still possible of course.

  • Plugin - beta🔌 We started implementing a plugin architecture. Starting with this release, you can write your own custom transformations. Please note that we are in beta mode currently, so the API may change over time.

Bug Fixes

  • Fixed an issue that caused an error when filtering values in a column that contains NAs

  • Fixed some CSS specificity issues in JupyterLab

  • Fixed an issue in JupyterLab that made bamboolib multi-select dropdowns not work properly

January 10, 2020 - 1.2.1

  • some users couldn't use bamboolib for free on Kaggle. We fixed that, because we love our users :)

January 9, 2020 - 1.2.0

Features

  • Rename transformation results🔤 You can now rename the dataframe after a transformation (e.g. name the result of a filter "df_subset")

  • Edit last transformation You can edit the last transformation when looking at the history of you transformations.

  • Increase memory efficiency with numpy dtypes 💾 New support of numpy data types (e.g. int8, int16, ...) so that you can reduce the memory space of your dataframes

Other Bug Fixes & Improvements

  • Live code export now also works on Firefox

December 5, 2019 - 1.1.0

Features

  • We now support JupyterLab

Other Bug Fixes & Improvements

  • Fixed an issue that made the Copy-Code-Button not work

  • Changed the styling of our buttons