DataFrame结构 ChunkedArray、Series、DataFrame等基础的数据结构都位于polars-core中。DataFrame的结构很简单,是一个由Series构成的二维数据结构,它可以被视为Vec上的抽象 // polars/polars-core/src/frame/mod.rspubstructDataFrame{pub(crate)columns:Ve
You still need to use .collect() to materialize your LazyFrame into a DataFrame to see the results. To create the filter, you use .filter() to specify a filter context and pass in an expression to define the criteria. In this case, the expression pl.col("total").is_null() & pl....
This might be a case of fixing symptoms however, we may need to take a harder look at aligning chunks and what that means in the context of non-seriesColumns. #21581. @@ Coverage Diff @@## main #21606 +/- ##===+Coverage 79.80% 79.97% +0.16%=== Files 1604 1604 Lines 231362 2...
into_std().await; // Write the header if include_header || include_bom { let mut writer = CsvWriter::new(&mut file) .include_bom(include_bom) .include_header(include_header) .n_threads(1) // Disable rayon parallelism .batched(&schema)?; writer.write_batch(&DataFrame::empty_with_...
let chunks = if s.dtype() == &DataType::String { let ids: ChunkedArray<UInt32Type> = s .utf8()? .str()? .into_iter() .map(|opt_str| opt_str.and_then(|slice| mapping.find(slice))) .collect(); @@ -1327,18 +1329,22 @@ pub fn s_categorise(s: ExSeries, cat: ExSeries...