Pandas asfreq(), asof(), shift(), slice_shift(), tshift(), first_valid_index(), last_valid_index()

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The Pandas DataFrame/Series has several methods related to time series. Preparation Before any data manipulation can occur, two (2) new libraries will require installation. The Pandas library enables access to/from a DataFrame. The NumPy library supports multi-dimensional arrays and matrices in addition to a collection of mathematical functions. To install these libraries, navigate to an … Read more

Pandas append(), assign(), compare(), join(), merge(), update()

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The Pandas DataFrame/Series has several methods to combine/compare/join and merge the data. Preparation Before any data manipulation can occur, two (2) new libraries will require installation. The Pandas library enables access to/from a DataFrame. The NumPy library supports multi-dimensional arrays and matrices in addition to a collection of mathematical functions. To install these libraries, navigate … Read more

How To Apply A Function To Each Element Of A Dictionary?

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This article shows you how to apply a given function to each element of a Python dictionary. The most Pythonic way to apply a function to each element of a Python dict is combining the dictionary comprehension feature and the dict.items() method like so: {k:f(v) for k,v in dict.items()} Note: All the solutions provided below … Read more

One Line of Code Every Day: A Powerful Habit

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Today I want to propose a new habit for you which will ensure that you are on the path of continuous improvement in Python — on the path to mastery. Did you read the book “The Power of Habit” by Charles Duhigg? This Keystone Habit changed her life… The Pulitzer-Price-winning author talks about forming so-called … Read more

How To Apply A Function To Each Element Of A Tuple?

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This article shows you how to apply a given function to each element of a tuple. The best way to apply a function to each element of a tuple is the Python built-in map(function, iterable) function that takes a function and an iterable as arguments and applies the function to each iterable element. An alternate … Read more

Pandas melt(), explode(), squeeze(), to_xarray(), transpose()

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The Pandas DataFrame/Series has several methods to re-shape, sort, and transpose the data. Preparation Before any data manipulation can occur, two (2) new libraries will require installation. The Pandas library enables access to/from a DataFrame. The Xarray library works with labeled multi-dimensional arrays and advanced analytics. To install these libraries, navigate to an IDE terminal. … Read more

Replace Last Substring Occurrence in Python String

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Problem Formulation Given a string, a substring, and a replacement string in Python. String s Substring sub Replacement string repl How to find and replace the last occurrence of sub with the replacement repl in the Python string s? Let’s have a look at a couple of examples to thoroughly understand the problem: Example 1: … Read more