Pandas Basics : Analyzing Indian Temperatures from 1901 – 2017

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The objective of this post is to present an intuitive overview of features of pandas DataFrame object. Minimum temperature data from 1901 to 2017 provided by data.gov.in is used as an example. Table of Contents What is pandas? Installing pandas Running this example on Kaggle Creating a DataFrame from Excel or CSV Glancing at the data Statistical overview of the data Finding the hottest year Visualizing annual minimum temperature over years Visualizing temperatures rise and fall (Mean Temp - Months) Finding hottest seasons (1901-2017) Finding the most extreme year Plotting Differences Looking into abnormal winters 1. What is pandas? It is a Python library for dat
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Devji Chhanga

I teach computer science at university of Kutch since 2011, Kutch is the western most district of India. At iDevji, I share tech stories that excite me. You will love reading the blog if you too believe in the disruptive power of technology. Some stories are purely technical while others can involve empathetical approach to problem solving using technology.

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Devji Chhanga

I teach computer science at university of Kutch since 2011, Kutch is the western most district of India. At iDevji, I share tech stories that excite me. You will love reading the blog if you too believe in the disruptive power of technology. Some stories are purely technical while others can involve empathetical approach to problem solving using technology.

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