polars-core 0.53.0

Core of the Polars DataFrame library
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127

pub mod chunked_array;
pub mod df;
pub mod series;

#[cfg(test)]
mod test {
    use crate::chunked_array::flags::StatisticsFlags;
    use crate::prelude::*;
    use crate::series::IsSorted;

    #[test]
    fn test_serde() -> PolarsResult<()> {
        let ca = UInt32Chunked::new("foo".into(), &[Some(1), None, Some(2)]);

        let json = serde_json::to_string(&ca.clone().into_series()).unwrap();

        let out = serde_json::from_str::<Series>(&json).unwrap();
        assert!(ca.into_series().equals_missing(&out));

        let ca = StringChunked::new("foo".into(), &[Some("foo"), None, Some("bar")]);

        let json = serde_json::to_string(&ca.clone().into_series()).unwrap();

        let out = serde_json::from_str::<Series>(&json).unwrap(); // uses `Deserialize<'de>`
        assert!(ca.into_series().equals_missing(&out));

        Ok(())
    }

    /// test using the `DeserializedOwned` trait
    #[test]
    fn test_serde_owned() {
        let ca = UInt32Chunked::new("foo".into(), &[Some(1), None, Some(2)]);

        let json = serde_json::to_string(&ca.clone().into_series()).unwrap();

        let out = serde_json::from_reader::<_, Series>(json.as_bytes()).unwrap(); // uses `DeserializeOwned`
        assert!(ca.into_series().equals_missing(&out));
    }

    fn sample_dataframe() -> DataFrame {
        let s1 = Series::new("foo".into(), &[1, 2, 3]);
        let s2 = Series::new("bar".into(), &[Some(true), None, Some(false)]);
        let s3 = Series::new("string".into(), &["mouse", "elephant", "dog"]);
        let s_list = Column::new("list".into(), &[s1.clone(), s1.clone(), s1.clone()]);

        DataFrame::new_infer_height(vec![s1.into(), s2.into(), s3.into(), s_list]).unwrap()
    }

    #[test]
    fn test_serde_flags() {
        let df = sample_dataframe();

        for mut column in df.into_columns() {
            column.set_sorted_flag(IsSorted::Descending);
            let json = serde_json::to_string(&column).unwrap();
            let out = serde_json::from_reader::<_, Column>(json.as_bytes()).unwrap();
            let f = out.get_flags();
            assert_ne!(f, StatisticsFlags::empty());
            assert_eq!(column.get_flags(), out.get_flags());
        }
    }

    #[test]
    fn test_serde_df_json() {
        let df = sample_dataframe();
        let json = serde_json::to_string(&df).unwrap();
        let out = serde_json::from_str::<DataFrame>(&json).unwrap(); // uses `Deserialize<'de>`
        assert!(df.equals_missing(&out));
    }

    /// test using the `DeserializedOwned` trait
    #[test]
    fn test_serde_df_owned_json() {
        let df = sample_dataframe();
        let json = serde_json::to_string(&df).unwrap();

        let out = serde_json::from_reader::<_, DataFrame>(json.as_bytes()).unwrap(); // uses `DeserializeOwned`
        assert!(df.equals_missing(&out));
    }

    // STRUCT REFACTOR
    #[ignore]
    #[test]
    #[cfg(feature = "dtype-struct")]
    fn test_serde_struct_series_owned_json() {
        let row_1 = AnyValue::StructOwned(Box::new((
            vec![
                AnyValue::String("1:1"),
                AnyValue::Null,
                AnyValue::String("1:3"),
            ],
            vec![
                Field::new("fld_1".into(), DataType::String),
                Field::new("fld_2".into(), DataType::String),
                Field::new("fld_3".into(), DataType::String),
            ],
        )));
        let dtype = DataType::Struct(vec![
            Field::new("fld_1".into(), DataType::String),
            Field::new("fld_2".into(), DataType::String),
            Field::new("fld_3".into(), DataType::String),
        ]);
        let row_2 = AnyValue::StructOwned(Box::new((
            vec![
                AnyValue::String("2:1"),
                AnyValue::String("2:2"),
                AnyValue::String("2:3"),
            ],
            vec![
                Field::new("fld_1".into(), DataType::String),
                Field::new("fld_2".into(), DataType::String),
                Field::new("fld_3".into(), DataType::String),
            ],
        )));
        let row_3 = AnyValue::Null;

        let s =
            Series::from_any_values_and_dtype("item".into(), &[row_1, row_2, row_3], &dtype, false)
                .unwrap();
        let df = DataFrame::new_infer_height(vec![s.into()]).unwrap();

        let df_str = serde_json::to_string(&df).unwrap();
        let out = serde_json::from_str::<DataFrame>(&df_str).unwrap();
        assert!(df.equals_missing(&out));
    }
}