index=False,engine="xlsxwriter")@timerdefpolars_xlsxwriter():dl.write_excel("polars_xlsxwriter.xlsx")@timerdefpandas_openpyxl():df.to_excel("pandas_openpyxl.xlsx",index=False,engine="openpyxl")@timerdefnative_xlsxwriter(optimised=False
七、使用Polars库删除某一行数据 Polars是一个高性能的数据处理库,适用于结构化数据。 import polars as pl def delete_row(file_name, index): df = pl.read_csv(file_name) df = df.drop(index) df.write_csv(file_name) 读取数据:使用pl.read_csv读取数据。 删除行:使用drop方法,传入行索引。 保存...
import polars as pl import time # 读取 CSV 文件 start = time.time() df_pl_gpu = pl.read_csv('test_data.csv') load_time_pl_gpu = time.time() - start # 过滤操作 start = time.time() filtered_pl_gpu = df_pl_gpu.filter(pl.col('value1') > 50) filter_time_pl_gpu = time.t...
Polars库是一个高性能的数据处理库,适用于处理大数据集。以下是使用Polars库在txt文件中新增一列的方法: 读取txt文件:使用pl.read_csv函数将txt文件读取为Polars DataFrame对象。 新增列:在Polars DataFrame对象中新增一列。 写入文件:使用df.write_csv函数将修改后的Polars DataFrame写入txt文件。 import polars as pl...
Write Excel Add-Ins in Python. Use Microsoft Excel as a user friendly front-end to your Python code. No VBA, just Python!
Polars can also handle data sources like JSON, Parquet, Avro, Excel, and various databases. You can interact with most of these file types the same way you worked with the CSV file: Python >>> import polars as pl >>> data = pl.DataFrame({ ... "A": [1, 2, 3, 4, 5], ....
Scripting: Automate/interact with Excel from Python using a syntax that is close to VBA. Macros: Replace your messy VBA macros with clean and powerful Python code. UDFs: Write User Defined Functions (UDFs) in Python (Windows only).
If you’ve ever found yourself juggling pandas, Polars, and other DataFrame libraries, you know the struggle is real. Maybe you’ve written code that works beautifully with pandas, only to find subtle (and not-so-subtle) differences when trying to run it on Polars or another library. For ...
To start, define the path to the data and import your dependencies in a new cell: Python In [2]: DATA_PATH = "/content/Scraped_Car_Review_dodge.csv" ...: ...: import time ...: from tqdm import tqdm ...: import polars as pl ...: import torch ...: from transformers import...
The function was written before we had the Array dtype and the is_nested() method on the dtype class, so explicitly enumerated the dtypes that needed to be cast to string on sheet export - and ther...