From 3943c48ec52c8fa401c56915d8e23c83181f1a3f Mon Sep 17 00:00:00 2001 From: deeenes Date: Mon, 21 Feb 2022 17:54:12 +0100 Subject: [PATCH] sharkcoder --- README.md | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index c9397d8..a31586c 100644 --- a/README.md +++ b/README.md @@ -406,6 +406,8 @@ give an introduction or insight into specific topics. - https://www.shanelynn.ie/summarising-aggregation-and-grouping-data-in-python-pandas/ - Aggregating data in pandas is much less intuitive than in dplyr: here is a really clear tutorial. +- https://sharkcoder.com/data-visualization/pandas-tricks - Nice and long + pandas tutorial. ### Pandas alternatives @@ -448,7 +450,7 @@ likely you will try more of them. cheatsheets: great for a quick start with matplotlib and also as a reminder during every day work. - https://www.pythoncharts.com/matplotlib/rotating-axis-labels/ - Matplotlib - is a great library, unlike pandas it's API is well designed. Still, + is a great library, unlike pandas its API is well designed. Still, looking at a basic everyday task, rotating the tick labels, we see that there are at least 5 different solutions and none of them is perfect. - http://seaborn.pydata.org/ - @@ -458,6 +460,8 @@ likely you will try more of them. - http://gureckislab.org/courses/spring20/labincp/chapters/09/00-plots.html - Great matplotlib book chapter from the cognition and perception class of Todd Gureckis. +- https://sharkcoder.com/ - Some great matplotlib, plotly, seaborn and D3.js + tutorials: see the Data Visualization menu. - https://plot.ly/python/ - An easy way to make interactive html plots in IPython notebook. Note: it is not obvious from their webpage, but you don't need to register even for the free plan to @@ -507,8 +511,8 @@ likely you will try more of them. - https://www.pythoncharts.com/ - Many elaborate tutorials about Python visualization, not just the basics, but many fine details, still concise and on point. -- http://matplotlib.org/style\_changes.html - Good material about color - maps. +- https://matplotlib.org/1.4.3/style_changes.html - Good material about + color maps. - https://plotnine.readthedocs.io/en/stable/index.html - So far the most faithful implementation of ggplot2 in Python. A great declarative plotting library.