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a7a5ec31be
# Description
@maxim-uvarov brought up another case where converting back and forth
between eager and lazy dataframes was not working correctly:
```
> [[a b]; [6 2] [1 4] [4 1]] | polars into-lazy | polars append -c ([[a b]; [6 2] [1 4] [4 1]] | polars into-df)
Error: nu:🐚:cant_convert
× Can't convert to NuDataFrame.
╭─[entry #1:1:49]
1 │ [[a b]; [6 2] [1 4] [4 1]] | polars into-lazy | polars append -c ([[a b]; [6 2] [1 4] [4 1]] | polars into-df)
· ──────┬──────
· ╰── can't convert NuLazyFrameCustomValue to NuDataFrame
╰────
```
This pull request fixes this case and glaringly obvious similar cases I
could find.
Co-authored-by: Jack Wright <jack.wright@disqo.com>
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.. | ||
nu_plugin_custom_values | ||
nu_plugin_example | ||
nu_plugin_formats | ||
nu_plugin_gstat | ||
nu_plugin_inc | ||
nu_plugin_polars | ||
nu_plugin_python | ||
nu_plugin_query | ||
nu_plugin_stress_internals | ||
nu-cli | ||
nu-cmd-base | ||
nu-cmd-dataframe | ||
nu-cmd-extra | ||
nu-cmd-lang | ||
nu-color-config | ||
nu-command | ||
nu-engine | ||
nu-explore | ||
nu-glob | ||
nu-json | ||
nu-lsp | ||
nu-parser | ||
nu-path | ||
nu-plugin | ||
nu-plugin-test-support | ||
nu-pretty-hex | ||
nu-protocol | ||
nu-std | ||
nu-system | ||
nu-table | ||
nu-term-grid | ||
nu-test-support | ||
nu-utils | ||
README.md |
Nushell core libraries and plugins
These sub-crates form both the foundation for Nu and a set of plugins which extend Nu with additional functionality.
Foundational libraries are split into two kinds of crates:
- Core crates - those crates that work together to build the Nushell language engine
- Support crates - a set of crates that support the engine with additional features like JSON support, ANSI support, and more.
Plugins are likewise also split into two types:
- Core plugins - plugins that provide part of the default experience of Nu, including access to the system properties, processes, and web-connectivity features.
- Extra plugins - these plugins run a wide range of different capabilities like working with different file types, charting, viewing binary data, and more.