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1. 10 Minutes From Pandas To Koalas
2. 10 Minutes To Pandas Ipynb
3. How To Use Pandas

The 10 Minutes to pandas is a great place to start learning how to use it for data analysis. Things get a lot more interesting once you’re comfortable with the fundamentals and start with Reshaping and Pivot Tables. 10 Minutes in pandas 中文翻译. Contribute to Leohc92/10-Minutes-to-pandas development by creating an account on GitHub. Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See the Package overview for more detail about what’s in the library. 10 minutes to pandas — pandas 1.2.4 documentation 10 minutes to pandas ¶ This is a short introduction to pandas, geared mainly for new users. You can see more complex recipes in the Cookbook. 10 Minutes to Pandas (in 5 Minutes) How to Fix “ImportError: No module named pandas” Mac/Linux/Windows/PyCharm How Does Pandas Concat Work? How to Sort in Python with the Lambda Function as Key Argument? Python Infinity; How To Merge Two Python Dictionaries In A Single Expression In Python? Pandas NaN — Working With Missing Data.

This tutorial is available as a short ebook.The e-book features extra content from follow-up posts on various Python bestpractices, all in a convenient, self-contained format. All future updates arefree for people who purchase it.

Preliminary fluff

So, you want to learn the Python programming languagebut can’t find a concise and yet full-featured tutorial. This tutorial willattempt to teach you Python in 10 minutes. It’s probably not so much a tutorialas it is a cross between a tutorial and a cheatsheet, so it will just show yousome basic concepts to start you off. Obviously, if you want to really learna language you need to program in it for a while. I will assume that you arealready familiar with programming and will, therefore, skip most of thenon-language-specific stuff. The important keywords will be highlighted soyou can easily spot them. Also, pay attention because, due to the tersenessof this tutorial, some things will be introduced directly in code and onlybriefly commented on.

We will focus on Python 3, as that is the version you should use.All the examples in the book are in Python 3, and if anyone advises youto use 2, they aren’t your friend.

Properties

Python is strongly typed (i.e. types are enforced), dynamically,implicitly typed (i.e. you don’t have to declare variables), casesensitive (i.e. var and VAR are two different variables) andobject-oriented (i.e. everything is an object).

Getting help

Help in Python is always available right in the interpreter. If you want to knowhow an object works, all you have to do is call help(<object>)!Also useful are dir(), which shows you all the object’s methods, and<object>.__doc__, which shows you its documentation string:

Syntax

Python has no mandatory statement termination characters and blocks arespecified by indentation. Indent to begin a block, dedent to end one.Statements that expect an indentation level end in a colon (:). Commentsstart with the pound (#) sign and are single-line, multi-line strings are usedfor multi-line comments. Values are assigned (in fact, objects arebound to names) with the equals sign (“=”), and equality testing isdone using two equals signs (“”). You can increment/decrement values usingthe += and -= operators respectively by the right-hand amount. This works onmany datatypes, strings included. Number for mac support. You can also use multiple variables on oneline. For example:

Data types

The data structures available in python are lists, tuples and dictionaries.Sets are available in the sets library (but are built-in in Python 2.5 andlater). Lists are like one-dimensional arrays (but you can also have lists ofother lists), dictionaries are associative arrays (a.k.a. hash tables) andtuples are immutable one-dimensional arrays (Python “arrays” can be of any type,so you can mix e.g. integers, strings, etc in lists/dictionaries/tuples). Theindex of the first item in all array types is 0. Negative numbers count from theend towards the beginning, -1 is the last item. Variables can point tofunctions. The usage is as follows:

You can access array ranges using a colon (:). Leaving the start index emptyassumes the first item, leaving the end index assumes the last item. Pdf converter free for mac os. Indexing isinclusive-exclusive, so specifying [2:10] will return items [2] (the thirditem, because of 0-indexing) to [9] (the tenth item), inclusive (8 items).Negative indexes count from the last item backwards (thus -1 is the last item)like so:

Strings

Its strings can use either single or double quotation marks, andyou can have quotation marks of one kind inside a string that usesthe other kind (i.e. “He said ’hello’.” is valid). Multilinestrings are enclosed in _triple double (or single) quotes_ (“”“).Python strings are always Unicode, but there is another string typethat is pure bytes. Those are called bytestrings and are representedwith the b prefix, for example b'Hello xcexb1'. To fill a string with values, you use the %(modulo) operator and a tuple. Each %s gets replaced with an itemfrom the tuple, left to right, and you can also use dictionarysubstitutions, like so:

Flow control statements

Flow control statements are if, for, and while. There is no switch;instead, use if. Use for to enumerate through members of a list. To obtaina sequence of numbers you can iterate over, use range(<number>). Thesestatements’ syntax is thus:

Functions

Functions are declared with the def keyword. Optional arguments areset in the function declaration after the mandatory arguments by being assigneda default value. For named arguments, the name of the argument is assigneda value. Functions can return a tuple (and using tuple unpacking you caneffectively return multiple values). Lambda functions are ad hocfunctions that are comprised of a single statement. Parameters are passed byreference, but immutable types (tuples, ints, strings, etc) cannot be changedin the caller by the callee. This is because only the memory location of theitem is passed, and binding another object to a variable discards the oldone Cs go for mac download. , so immutable types are replaced. For example:

Classes

Python supports a limited form of multiple inheritance in classes. Privatevariables and methods can be declared (by convention, this is not enforced bythe language) by adding a leading underscore (e.g. _spam). We can also bindarbitrary names to class instances. An example follows:

Exceptions

Exceptions in Python are handled with try-except [exceptionname] blocks:

Importing

10 Minutes From Pandas To Koalas

External libraries are used with the import [libname] keyword. You can alsouse from [libname] import [funcname] for individual functions. Here is anexample:

File I/O

Python has a wide array of libraries built in. As an example, here is howserializing (converting data structures to strings using the picklelibrary) with file I/O is used:

Miscellaneous

• Conditions can be chained: 1 < a < 3 checks that a is both less than 3 andgreater than 1.
• You can use del to delete variables or items in arrays.
• List comprehensions provide a powerful way to create and manipulate lists.They consist of an expression followed by a for clause followed by zero ormore if or for clauses, like so:

• Global variables are declared outside of functions and can be read withoutany special declarations, but if you want to write to them you must declare themat the beginning of the function with the global keyword, otherwise Pythonwill bind that object to a new local variable (be careful of that, it’s a smallcatch that can get you if you don’t know it). For example:

Epilogue

This tutorial is not meant to be an exhaustive list of all (or even a subset) ofPython. Python has a vast array of libraries and much much more functionalitywhich you will have to discover through other means, such as the excellent bookDive intoPython.I hope I have made your transition in Python easier. Please leave comments ifyou believe there is something that could be improved or added or if there isanything else you would like to see (classes, error handling, anything).

By the way, you should follow me on Twitter.

In my previous Pandas tutorial, I discussed in-depth about the basics of Pandas such as importing pandas in python, doing mathematical calculations, accessing data frames, adding labels to the data series, etc to read my previous Pandas tutorial using Python, click ‘here’.

In this tutorial, I will be discussing & showing you the working of how to combine two data frames by using python functions like concat, merge, and join.

We will start by importing the two basic Python libraries:

Create two very small data frames using the DataFrame function:

Read the entire data using the head function, as both the data frame have only 4 rows and 4 columns:

Now, using the function concat() to concatenate the two data frames, in the below code, axis = 0 denotes rows, while axis= 1, denotes columns, sort = True/False parameter is passed to silence a warning which Pandas generate since the version 0.23 was out (current version is 1.0.5):

For axis = 1, sort = True/False:

Using the merge function, how = ‘outer’ is the union of on(AuB), how = ‘inner’ is the intersection of on=’customer’.

10 Minutes To Pandas Ipynb

And finally concluding with the join function. Join is just like merge, except using one of the values of one of the columns to combine data frames, join uses index labels. Outer, inner, left, right, work the same as merge.

How To Use Pandas

This completes our Pandas tutorial, in our next series of tutorials we will be covering several concepts related to Data Visualization, Machine Learning, etc all of them using Python, till then keep learning, exploring, and upskilling yourself, in these tough times, if you have any queries or you want to learn about R, Tableau, MS-Excel, punch down in the comments section and hit subscribe to receive weekly email updates on news and tutorials related to AI & Data Sciences. To learn NumPy tutorials, click on the below-given links: