data_processing
This reference covers filtering, selections, virtual columns, expressions, aggregations, groupby operations, and data transformations in Vaex.
- Skills
- Scientific
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What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
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Install (Claude Code)
mkdir -p .claude/skills/data-processing && curl -fsSL https://doutorai.pt/data/lib/skills__data-processing.md -o .claude/skills/data-processing/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# Data Processing and Manipulation
This reference covers filtering, selections, virtual columns, expressions, aggregations, groupby operations, and data transformations in Vaex.
## Filtering and Selections
Vaex uses boolean expressions to filter data efficiently without copying:
### Basic Filtering
```python
# Simple filter
df_filtered = df[df.age > 25]
# Multiple conditions
df_filtered = df[(df.age > 25) & (df.salary > 50000)]
df_filtered = df[(df.category == 'A') | (df.category == 'B')]
# Negation
df_filtered = df[~(df.age < 18)]
```
### Selection Objects
Vaex can maintain multiple
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