pd.read_parquet() 当DataFrame超过3GB时,建议选择parquet。文件越大,feather和parquet的读写效率差距越不明显。 备注 在测试时遇见一个奇怪的现象,dataframe进行sort_values操作后,按不同的列排序导出的parquet占用的磁盘空间有极大差别,但读取速度相同,目前尚未定位问题。 苏什么来着 8 次咨
它管理各种文件存储格式,如csv,json和parquet,这是一种面向列的格式。 集成层 集成层专注于数据获取、转换、质量、持久性、消费和治理。它基本上由以下五个 C 驱动:连接,收集,校正,组合和消费。 这五个步骤描述了数据的生命周期。它们关注如何获取感兴趣的数据集,探索它,迭代地完善和丰富收集的信息,并准备好供使...
def parse_type(s): if s.isdigit(): return int(s) try: res = float(s) return res except: return s def pos_by(by,head,sep): by_num = 0 for col in head.split(sep): if col.strip()==by: break else: by_num+=1 return by_num def merge_sort(directory,ofile,by,ascending=True...
Parquet Tools Prometheus various JDKs and RDBMS JDBC connector jars and many more... Linux & Mac bin/ directory: login.sh - logs to major Cloud platforms if their credentials are found in the environment, CLIs such as AWS, GCP, Azure, GitHub... Docker registries: DockerHub, GHCR, ECR,...
Lance— alternative to Parquet. 100x faster for random access, automatic versioning, optimized for ML data. Apache Arrow and DuckDB compatible. Marqo— an open-source tensor search engine that seamlessly integrates with your applications, websites, and workflow. Mercury— convert Jupyter Notebooks to...
various simple to use installation scripts for common technologies like AWS CLI, Azure CLI, GCloud SDK, Terraform, Ansible, MiniKube, MiniShift (Kubernetes / Redhat OpenShift/OKD dev VMs), Maven, Gradle, SBT, EPEL, RPMforge, Homebrew, Travis CI, Circle CI, AppVeyor, BuildKite, Parquet Tools ...
parquet files. Both pyarrow and fastparquet supportpaths to directories as well as file URLs. A directory path could be:``file://localhost/path/to/tables`` or ``s3://bucket/partition_dir``If you want to pass in a path object, pandas accepts any``os.PathLike``.By file-like object, ...
Episode sponsors NordLayer Auth0 Talk Python Courses Links from the show Reuven: github.com/reuven Apache Arrow: github.com Parquet: parquet.apache.org Feather format: arrow.apache.org Python Workout Book (45% off with code talkpython45): manning.com Pandas Workout Book (45% off with code...
Editor's note: DuckDB makes it easy to convert between a variety of popular data formats (CSV, JSON, Parquet, and more) using simple SQL statements. It's also easy to execute these statements from a bash shell so you have them ready to go. Execute this Bash #!/bin/bash function csv...
parquet pickle jay numpy array(.npy format) - for numerical data 展示原始数据加载 In [1]: # import the library import gc import numpy as np import pandas as pd import os import time print(f'numpy version: {np.__version__}')