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Transpose a Pandas Dataframe

Learn how to transpose a pandas dataframe, including how to work with mixed datatypes and what their outputs may be.

In this post, you’ll learn how to use Python to find the average of a list or a list of lists, using built-in tools and packages like numpy.

Learn how to use Python to split a string on multiple delimiters, including using regular expressions and using a custom function.

Learn how to use Python to create a dictionary from two lists, including using the zip function, dictionary comprehensions, and for loops.

Learn how to use Python to zip lists, two or more lists in Python, including lists of different lengths and lists of lists.

Learn how to split a Pandas dataframe in Python. Split a dataframe by column value, by position, and by random values.

Learn how to get Pandas columns as a list, a sorted list and how to check if a column exists in a particular dataframe.

Learn how to count the number of occurrences in a string using Python, including the built-in count method and the counter module.

Learn how to count the number of rows in a Pandas Dataframe, including identifying how many rows contain a value or meet a condition.

Learn how to merge Python dictionaries for all different versions of Python. Learn how to merge using union, unpacking, and update.

In this post, you’ll learn how to create empty pandas dataframes and how to add data to them row-by-row and add rows via a loop.