from pynessie import init as nessie_init import time import os class NessieBranchManager: def __init__(self, verify: bool = False): """初始化Nessie客户端,用于分支管理。""" self.endpoint = os.environ.get('NESSIE_ENDPOINT', "http://nessie:19120/api/v1/") self.nessie_client = nessie...
import polars as pl # 创建一个简单的 DataFrame data = {'column1': [1, 2, 3], 'column2': ['a', 'b', 'c']} df = pl.DataFrame(data) # 使用表达式进行选择 selected_df = df.select(['column1']) # 使用表达式进行过滤 filtered_df = df.filter(df['column1'] > 1) selected_df...
pl.element().filter(pl.element().struct['system'] == 'phone').struct['value'] ).list.unique().alias('phone_numbers').map_batches(lambda col: pl.LazyFrame(col).select( pl.when(pl.col('phone_numbers').list.len() > 0)\ .then(pl.col('phone_numbers')) ).collect().get_column(...
If instead of using the offical map column in the arrow crates, you implement one by hand using the subtypes, you can get polars to accept the parquet file. As the recurse bug does work on lists but not maps. A workaround for now: let fields = vec![ Field::new("key", DataType:...
Checks I have checked that this issue has not already been reported. I have confirmed this bug exists on the latest version of Polars. Reproducible example import pathlib, os, shutil, psutil import polars as pl, pandas as pd, numpy as np...
explodeメソッドにてlistで格納していたメソッド名を縦に展開しています。その後に正規表現でlistもしくはarr以降のメソッドのみを取り出しています。 あとは抽出した列で差集合と積集合をとります。 list_methods=set(list_df.get_column("list_method").to_list())arr_methods=set(arr_df.get_...
lazy() .with_column( // 多列整合成一个 struct as_struct(vec![col("keys"), col("values")]) // 调用 apply 计算 len(a) + b .apply( |s| { // downcast to struct let ca = s.struct_()?; // get the fields as Series let s_a = &ca.fields()[0]; let s_b = &ca....
Addnull_on_oobparameter toexpr.array.get(#15426) support weekend argument in business_day_count (#15544) Enableis_first/last_distinctfor not nested non-numeric list (#15552) Turn off cse if cache node found (#15554) Tag concat list as elementwise (#15545) ...
check dtypes of single-column 'by' parameter in asof-join (#10284) fix pyo3 link errors on macos (#10256) fix empty streaming parquet file (#10252) fix logical columns of streaming multi-column sort (#10250) fix date/datetime parsing for short inputs with exact=False (#10231) ...
import polars as pl df = pl.DataFrame({ 'lst': [[0, 1], [9, 8]], 'val': [3, 4] }) And I want to add the number in the val column, to every element in the corresponding list in the lst column, to get the following result: ┌──────────...