import pandas as pd import cudf import time # 使用 Pandas 加载数据 start = time.time() df_pandas = pd.read_csv('ecommerce_data.csv') pandas_load_time = time.time() - start # 使用 cuDF.pandas 加载数据 start = time.time()
我正在尝试将多个 csv 文件(总大小为 7.9 GB)写入 HDF5 存储以便稍后处理。 csv 文件每个包含大约一百万行,15 列,数据类型主要是字符串,但也有一些浮点数。但是,当我尝试读取 csv 文件时,出现以下错误: Traceback (most recent call last): File "filter-1.py", line 38, in <module> to_hdf() File ...
Minimal Complete Verifiable Example: import dask.dataframe as dd df = dd.read_csv('cmdlines\cmdlines_*.csv', 24000000, sample=100) df.to_csv("cmdlines_stacked.csv", single_file = True) CSV Files I am reading: -rwxrwxrwx 1 <COMPUTER NAME>...
import pandas as pd import cudf import time # 使用 Pandas 加载数据 start = time.time() df_pandas = pd.read_csv('ecommerce_data.csv') pandas_load_time = time.time() - start # 使用 cuDF.pandas 加载数据 start = time.time() df_cudf = cudf.read_csv('ecommerce_data.csv') cudf_load...
Importing a CSV file using the read_csv() function Before reading a CSV file into a pandas dataframe, you should have some insight into what the data contains. Thus, it’s recommended you skim the file before attempting to load it into memory: this will give you more insight into what ...
This project integrates multiple large language models (LLMs) like PandasAI, LangChain, OpenAI, Google Gemini, Anthropic, and Groq to allow users to interact with their data using natural language. Users can upload files in CSV, TSV, Excel formats or connect to databases like MySQL, SQLite, ...
Pandas allows for importing and exporting tabular data in various formats, such as CSV, SQL, and spreadsheet files. pandas also allows for various data manipulation operations and data cleaning features, including selecting a subset, creating derived columns, sorting, joining, filling, replacing, summ...
Help on function read_parquet in module pandas.io.parquet:read_parquet(path, engine: 'str' = 'auto', columns=None, storage_options: 'StorageOptions' = None, use_nullable_dtypes: 'bool' = False, **kwargs)Load a parquet object from the file path, returning a DataFrame.Parameters---path ...
multiple sheets. Specify None to get all sheets. Available cases: * Defaults to ``0``: 1st sheet as a `DataFrame` * ``1``: 2nd sheet as a `DataFrame` * ``"Sheet1"``: Load sheet with name "Sheet1" * ``[0, 1, "Sheet5"]``: Load first, second and sheet named "Sheet5"...
Sort columns by multiple variables Using Pandas to Sort by Rows Pandas Sort Values Interactive Example Further Learning Finding interesting bits of data in a DataFrame is often easier if you change the rows' order. You can sort the rows by passing a column name to .sort_values(). In cases...