Links tagged “pandas”
9 links, newest first.
github.com
Notebooks working through pandas one recipe at a time — reading data, selecting, grouping, cleaning — on real-world datasets.
pbpython.com
Explains how pandas' transform() paired with groupby() returns a result aligned to the original rows, unlike aggregation, using percentage-of-total as the example.
blog.patricktriest.com
Tutorial building a cryptocurrency market analysis in Python with pandas and Plotly, charting price history and correlations between coins.
nicolas.kruchten.com
Introduces the pivottablejs module, which embeds the PivotTable.js drag-and-drop pivot table and chart interface in a Jupyter notebook over a pandas DataFrame.
nikgrozev.com
Illustrated walkthrough of the pandas reshaping operations — pivot, pivot_table, stack and unstack — and what each one does to a dataframe.
pbpython.com
A tutorial on improving the formatting of the Excel files pandas writes, using the XlsxWriter library to style the exported DataFrames.
pandas.pydata.org
A whirlwind tour of pandas for new users, covering Series and DataFrame creation, selection, missing data, grouping, reshaping, time series and plotting.
pandas.pydata.org
The pandas user guide chapter on Series and DataFrame — how to build them, how they align on labels, and how selection and arithmetic behave.
pandas.pydata.org
Documentation for pandas, the Python library providing DataFrames and the tools that go with them for practical data analysis.
