1602630000
Querying Tableau view data as a crosstab using Python and Pandas
In another article we covered how you can query your Tableau view data like a boss, and I received some feedback from one person that they wanted to tumble deeper down the rabbit hole.
That brings us to this article, where we will demonstrate how you can download view data for a table (crosstab) in Tableau, and reconstruct the shape of that data as it appeared in Tableau.
This tutorial walks through using the Python tableau-api-lib package and is part of a series on how to tap Tableau Server like a keg, giving you control over Tableau Server’s REST API.
These tutorials assume you have Python 3 installed already. If you do not have Python 3 yet, this will get you started: guide to install Python.
Setting the Stage
Let’s say you have a crosstab in Tableau and you need to download it for whatever reason. If you go about doing this with the Tableau REST API, you’ll get the data you want… it just won’t necessarily be in the format you need.
The main issue is that when you download the view data, you are not going to get data in the form of a ‘pivot table’ or a crosstab. You’ll have a raw table in database format, where all your dimensions appear as columns.
Let’s see how we can download the data and shape it back into the table or crosstab you had in mind.
#tableau #programming #data-science #data #python
What is GEEK
Buddha Community
1619518440
top 30 Python Tips and Tricks for Beginners
Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
1) swap two numbers.
2) Reversing a string in Python.
3) Create a single string from all the elements in list.
4) Chaining Of Comparison Operators.
5) Print The File Path Of Imported Modules.
6) Return Multiple Values From Functions.
7) Find The Most Frequent Value In A List.
8) Check The Memory Usage Of An Object.
…
#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners
1623355500
PANDAS: Most Used Functions in Data Science
Most useful functions for data preprocessing
When you get introduced to machine learning, the first step is to learn Python and the basic step of learning Python is to learn pandas library. We can install pandas library by pip install pandas. After installing we have to import pandas each time of the running session. The data used for example is from the UCI repository “https://archive.ics.uci.edu/ml/datasets/Heart+failure+clinical+records ”
- Read Data
2. Head and Tail
3. Shape, Size and Info
4. isna
…
#pandas: most used functions in data science #pandas #data science #function #used python data #most used functions in data science
1602630000
Querying Tableau view data as a crosstab using Python and Pandas
In another article we covered how you can query your Tableau view data like a boss, and I received some feedback from one person that they wanted to tumble deeper down the rabbit hole.
That brings us to this article, where we will demonstrate how you can download view data for a table (crosstab) in Tableau, and reconstruct the shape of that data as it appeared in Tableau.
This tutorial walks through using the Python tableau-api-lib package and is part of a series on how to tap Tableau Server like a keg, giving you control over Tableau Server’s REST API.
These tutorials assume you have Python 3 installed already. If you do not have Python 3 yet, this will get you started: guide to install Python.
Setting the Stage
Let’s say you have a crosstab in Tableau and you need to download it for whatever reason. If you go about doing this with the Tableau REST API, you’ll get the data you want… it just won’t necessarily be in the format you need.
The main issue is that when you download the view data, you are not going to get data in the form of a ‘pivot table’ or a crosstab. You’ll have a raw table in database format, where all your dimensions appear as columns.
Let’s see how we can download the data and shape it back into the table or crosstab you had in mind.
#tableau #programming #data-science #data #python
1620466520
Your Data Architecture: Simple Best Practices for Your Data Strategy
If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.
In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.
#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition
1593156510
Basic Data Types in Python | Python Web Development For Beginners
At the end of 2019, Python is one of the fastest-growing programming languages. More than 10% of developers have opted for Python development.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Table of Contents hide
III Built-in data types in Python
Mutable objects
The Size and declared value and its sequence of the object can able to be modified called mutable objects.
Mutable Data Types are list, dict, set, byte array
Immutable objects
The Size and declared value and its sequence of the object can able to be modified.
Immutable data types are int, float, complex, String, tuples, bytes, and frozen sets.
id() and type() is used to know the Identity and data type of the object
a**=25+**85j
type**(a)**
output**:<class’complex’>**
b**={1:10,2:“Pinky”****}**
id**(b)**
output**:**238989244168
Built-in data types in Python
a**=str(“Hello python world”)****#str**
b**=int(18)****#int**
c**=float(20482.5)****#float**
d**=complex(5+85j)****#complex**
e**=list((“python”,“fast”,“growing”,“in”,2018))****#list**
f**=tuple((“python”,“easy”,“learning”))****#tuple**
g**=range(10)****#range**
h**=dict(name=“Vidu”,age=36)****#dict**
i**=set((“python”,“fast”,“growing”,“in”,2018))****#set**
j**=frozenset((“python”,“fast”,“growing”,“in”,2018))****#frozenset**
k**=bool(18)****#bool**
l**=bytes(8)****#bytes**
m**=bytearray(8)****#bytearray**
n**=memoryview(bytes(18))****#memoryview**
Numbers (int,Float,Complex)
Numbers are stored in numeric Types. when a number is assigned to a variable, Python creates Number objects.
#signed interger
age**=**18
print**(age)**
Output**:**18
Python supports 3 types of numeric data.
int (signed integers like 20, 2, 225, etc.)
float (float is used to store floating-point numbers like 9.8, 3.1444, 89.52, etc.)
complex (complex numbers like 8.94j, 4.0 + 7.3j, etc.)
A complex number contains an ordered pair, i.e., a + ib where a and b denote the real and imaginary parts respectively).
String
The string can be represented as the sequence of characters in the quotation marks. In python, to define strings we can use single, double, or triple quotes.
# String Handling
‘Hello Python’
#single (') Quoted String
“Hello Python”
# Double (") Quoted String
“”“Hello Python”“”
‘’‘Hello Python’‘’
# triple (‘’') (“”") Quoted String
In python, string handling is a straightforward task, and python provides various built-in functions and operators for representing strings.
The operator “+” is used to concatenate strings and “*” is used to repeat the string.
“Hello”+“python”
output**:****‘Hello python’**
"python "*****2
'Output : Python python ’
#python web development #data types in python #list of all python data types #python data types #python datatypes #python types #python variable type