Skip to main content

polars_core/scalar/
new.rs

1use std::sync::Arc;
2
3use polars_error::PolarsResult;
4use polars_utils::pl_str::PlSmallStr;
5
6use super::Scalar;
7use crate::datatypes::time_unit::TimeUnit;
8use crate::prelude::{AnyValue, DataType, TimeZone};
9use crate::series::Series;
10
11impl Scalar {
12    #[cfg(feature = "dtype-date")]
13    pub fn new_date(value: i32) -> Self {
14        Scalar::new(DataType::Date, AnyValue::Date(value))
15    }
16
17    #[cfg(feature = "dtype-datetime")]
18    pub fn new_datetime(value: i64, time_unit: TimeUnit, tz: Option<TimeZone>) -> Self {
19        Scalar::new(
20            DataType::Datetime(time_unit, tz.clone()),
21            AnyValue::DatetimeOwned(value, time_unit, tz.map(Arc::new)),
22        )
23    }
24
25    #[cfg(feature = "dtype-duration")]
26    pub fn new_duration(value: i64, time_unit: TimeUnit) -> Self {
27        Scalar::new(
28            DataType::Duration(time_unit),
29            AnyValue::Duration(value, time_unit),
30        )
31    }
32
33    #[cfg(feature = "dtype-time")]
34    pub fn new_time(value: i64) -> Self {
35        Scalar::new(DataType::Time, AnyValue::Time(value))
36    }
37
38    pub fn new_list(values: Series) -> Self {
39        Scalar::new(
40            DataType::List(Box::new(values.dtype().clone())),
41            AnyValue::List(values),
42        )
43    }
44
45    /// One `Map` row from its flat key and value fields.
46    #[cfg(feature = "dtype-map")]
47    pub fn new_map(keys: &Series, values: &Series) -> Self {
48        Scalar::new(
49            DataType::Map(
50                Box::new(keys.dtype().clone()),
51                Box::new(values.dtype().clone()),
52            ),
53            AnyValue::Map(crate::chunked_array::logical::pack_map_entries(
54                keys, values,
55            )),
56        )
57    }
58
59    /// For callers that already hold one row's entries, such as deserialization.
60    #[cfg(feature = "dtype-map")]
61    pub(crate) fn map_from_entries(entries: Series) -> Self {
62        let value = AnyValue::Map(entries);
63        Scalar::new(value.dtype(), value)
64    }
65
66    #[cfg(feature = "dtype-array")]
67    pub fn new_array(values: Series, width: usize) -> Self {
68        Scalar::new(
69            DataType::Array(Box::new(values.dtype().clone()), width),
70            AnyValue::Array(values, width),
71        )
72    }
73
74    #[cfg(feature = "dtype-decimal")]
75    pub fn new_decimal(value: i128, precision: usize, scale: usize) -> Self {
76        Scalar::new(
77            DataType::Decimal(precision, scale),
78            AnyValue::Decimal(value, precision, scale),
79        )
80    }
81
82    #[cfg(feature = "dtype-categorical")]
83    pub fn new_enum(
84        value: polars_dtype::categorical::CatSize,
85        categories: &arrow::array::Utf8ViewArray,
86    ) -> PolarsResult<Self> {
87        use arrow::array::Array;
88        use polars_dtype::categorical::FrozenCategories;
89
90        assert_eq!(categories.null_count(), 0);
91
92        let categories = FrozenCategories::new(categories.values_iter())?;
93        let mapping = categories.mapping();
94        Ok(Scalar::new(
95            DataType::Enum(categories.clone(), mapping.clone()),
96            AnyValue::EnumOwned(value, mapping.clone()),
97        ))
98    }
99
100    #[cfg(feature = "dtype-categorical")]
101    pub fn new_categorical(
102        value: &str,
103        name: PlSmallStr,
104        namespace: PlSmallStr,
105        physical: polars_dtype::categorical::CategoricalPhysical,
106    ) -> PolarsResult<Self> {
107        use polars_dtype::categorical::Categories;
108
109        let categories = Categories::new(name, namespace, physical);
110        let dt_mapping = categories.mapping();
111        let av_mapping = categories.mapping();
112
113        let value = av_mapping.insert_cat(value)?;
114
115        Ok(Scalar::new(
116            DataType::Categorical(categories, dt_mapping),
117            AnyValue::CategoricalOwned(value, av_mapping),
118        ))
119    }
120}