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Top 46 pandas-dataframe open source projects

Sidetable
sidetable builds simple but useful summary tables of your data
Data Science Projects With Python
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
Pyreadstat
Python package to read sas, spss and stata files into pandas data frames. It is a wrapper for the C library readstat.
Pyreadr
Python package to read and write R RData and Rds files into/from pandas dataframes. No R or other external dependencies required.
Swifter
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Rightmove webscraper.py
Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object
Gspread Dataframe
Read/write Google spreadsheets using pandas DataFrames
Df2gspread
Manage Google Spreadsheets in Pandas DataFrame with Python
Dframcy
Dataframe Integration with spaCy.
10 Simple Hacks To Speed Up Your Data Analysis In Python
Some useful Tips and Tricks to speed up the data analysis process in Python.
Bevel
Ordinal regression in Python
Sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
S3bp
Read and write Python objects to S3, caching them on your hard drive to avoid unnecessary IO.
Quickviz
Visualize a pandas dataframe in a few clicks
Pdpipe
Easy pipelines for pandas DataFrames.
Dataframe Go
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
Pytablewriter
pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.
Prettypandas
A Pandas Styler class for making beautiful tables
Biopandas
Working with molecular structures in pandas DataFrames
Evidently
Interactive reports to analyze machine learning models during validation or production monitoring.
Python
This repository helps you understand python from the scratch.
Data Science Hacks
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
pixiedust-facebook-analysis
A Jupyter notebook that uses the Watson Visual Recognition and Natural Language Understanding services to enrich Facebook Analytics and uses Cognos Dashboard Embedded to explore and visualize the results in Watson Studio
Algorithmic-Trading
I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.
deepchecks
Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
cracking-the-pandas-cheat-sheet
인프런 - 단 두 장의 문서로 데이터 분석과 시각화 뽀개기
SimpleSQLite
SimpleSQLite is a Python library to simplify SQLite database operations: table creation, data insertion and get data as other data formats. Simple ORM functionality for SQLite.
grafana-pandas-datasource
Grafana Pandas Datasource - using Python for generating timeseries-, table-data and annotations
yahoo-historical
Downloads historical EOD (end of day) prices from yahoo finance
1-46 of 46 pandas-dataframe projects