从基本计算到更复杂的操作,Polars 简化了数据探索和特征工程。meansum Polars 入门 拥抱极地是一件轻而易举的事。下面是一个快速指南: 安装:用于安装库。pip install polars 数据加载:Polars 支持从 CSV、Parquet 和 Arrow 文件等各种来源加载数据。 数据探索:Polars 提供数据检查方法,包括头部/尾部视图和基本统计摘...
Python tutorial on Polars, a fast DataFrame library for data manipulation and analysis with practical examples.
The text in parentheses beside each data type shows how these types are annotated in a DataFrame heading when Polars displays its results:Column NamePolars Data TypeDescription record_id Int64 (i64) Unique row identifier total Float64 (f64) Bill total tip Float64 (f64) Tip given gender ...
import polars as pl# Load data from a CSV filedf = pl.read_csv("cars.csv") # Replace "cars.csv" with your actual file path 进口:为了方便起见,我们首先导入库。polarspl 数据加载:该函数从路径指定的 CSV 文件中读取数据。请记住替换为 CSV 文件的实际位置。这将创建一个名为 Polars DataFrame 的...
import polars as pl data = { 'Name': ['Alice', 'Bob', 'Charlie', 'David'], 'Age': [25, None, 22, 35] } df = pl.DataFrame(data) sorted_df = df.sort('Age', nulls_last=True) print(sorted_df) The sort('Age', nulls_last=True) sorts the DataFrame with null values placed...
Instead, the only thing lazy_car_data stores from electric_cars.csv is the schema from lazy_car_data.schema. This allows you to see the file’s column names and their respective data types, and it also helps Polars optimize queries that you run on this data. In fact, Polars must know...
alexmerced/spark35nb Docker镜像使这个过程变得更简单,因为它提供了一个预设环境,在这个环境中,你可以尝试多种流行的数据工具,包括PySpark、Pandas、DuckDB、Polars和DataFusion。 在这个博客里,我们将一步步教您如何搭建这个环境,并演示如何使用这些工具执行基本的数据处理,例如写入数据、加载数据以及执行查询和聚合操作...
首先是安装Polars GPU,如下代码即可: pip install polars[gpu] 测试数据集一千万行,将近一个GB。 首先使用Polars CPU对数据集进行读取、过滤、分组聚合等处理。 import polars as pl import time # 读取 CSV 文件 start = time.time() df_pl = pl.read_csv('test_data.csv') load_time_pl = time.time...
By using a subset of the Polars API as its interface, Narwhals provides a clean, modern syntax for data manipulation while seamlessly translating your operations to the backend library of choice. Start with a pandas dataframe, and Narwhals returns pandas; work with cuDF, and it preserves GPU ...
示例代码：importpolarsaspl# Creating a data framedf=pl.DataFrame({"A":[1,2,3,4,5],"B":[...