Alec  Nikolaus

Alec Nikolaus

1596636000

How to visualize with seaborn in Flask

“When you visualize, then you materialize.” Denis Waitley

I know there are a lot of libraries to this for you, like Bokeh, Pandas Profiling, etc. I don’t even know how these libraries work on the flask or even if they work or not.

What if you want to visualize from scratch using seaborn or matplotlib only, then, of course, there is a way, and it’s just a cakewalk.

Ok, now lets import a few libraries that we’ll use.

import io
import base64
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
import matplotlib.pyplot as plt
import seaborn as sns

Just import these things at the beginning of the flask app only.

Now, you can use both pyplot or seaborn to visualize but I’m using seaborn to demonstrate because it’s easy anyway.

Below, making a normal list of linearity for visualization examples.

x=[i for i in range(100)]
y=[i for i in range(100)]

Now the visualization part.

fig,ax=plt.subplots(figsize=(6,6))
ax=sns.set(style="darkgrid")
sns.lineplot(x,y)
canvas=FigureCanvas(fig)
img = io.BytesIO()
fig.savefig(img)
img.seek(0)
return send_file(img,mimetype='img/png')

Now a simple change in the HTML file. Just write the above program route in the src and you’re good to go.

<img src="{{ url_for('visualize') }}">

If you haven’t still understood then posting the whole code which will literally help you.

#matplotlib #python #flask #visualization #seaborn

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How to visualize with seaborn in Flask
Alec  Nikolaus

Alec Nikolaus

1596636000

How to visualize with seaborn in Flask

“When you visualize, then you materialize.” Denis Waitley

I know there are a lot of libraries to this for you, like Bokeh, Pandas Profiling, etc. I don’t even know how these libraries work on the flask or even if they work or not.

What if you want to visualize from scratch using seaborn or matplotlib only, then, of course, there is a way, and it’s just a cakewalk.

Ok, now lets import a few libraries that we’ll use.

import io
import base64
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
import matplotlib.pyplot as plt
import seaborn as sns

Just import these things at the beginning of the flask app only.

Now, you can use both pyplot or seaborn to visualize but I’m using seaborn to demonstrate because it’s easy anyway.

Below, making a normal list of linearity for visualization examples.

x=[i for i in range(100)]
y=[i for i in range(100)]

Now the visualization part.

fig,ax=plt.subplots(figsize=(6,6))
ax=sns.set(style="darkgrid")
sns.lineplot(x,y)
canvas=FigureCanvas(fig)
img = io.BytesIO()
fig.savefig(img)
img.seek(0)
return send_file(img,mimetype='img/png')

Now a simple change in the HTML file. Just write the above program route in the src and you’re good to go.

<img src="{{ url_for('visualize') }}">

If you haven’t still understood then posting the whole code which will literally help you.

#matplotlib #python #flask #visualization #seaborn

Arvel  Parker

Arvel Parker

1591177440

Visual Analytics and Advanced Data Visualization

Visual Analytics is the scientific visualization to emerge an idea to present data in such a way so that it could be easily determined by anyone.

It gives an idea to the human mind to directly interact with interactive visuals which could help in making decisions easy and fast.

Visual Analytics basically breaks the complex data in a simple way.

The human brain is fast and is built to process things faster. So Data visualization provides its way to make things easy for students, researchers, mathematicians, scientists e

#blogs #data visualization #business analytics #data visualization techniques #visual analytics #visualizing ml models

Steve  Kunde

Steve Kunde

1592723950

Download a Flask template ready to plug in your business logic

Let’s assume after lots of hard work you have your machine learning model running the way it should. This model could be one which responds to a user’s request to classify a tweet sentiment or identify objects in an image or recommend a product or some other algorithm unique to your needs. You would now like to quickly deploy this model. The article below is an explanation of the template that I have created to get you up and running quickly.

#flask-framework #flask-python-appengine #flask-sqlalchemy #marshmallow #flask #programming

Web development with python and flask: part 3

In this part of the series, we will be taking a look at the HTTP protocol, request/response objects, their application in flask, properties, and their related methods. We will take steps to import it from the flask module, use its properties, and look at some of its related usages

Web applications implement one of the internet data and message exchange architectures that is based on HTTP protocol. The HTTP protocol is just one of the many application layers of TCP/IP. The TCP/IP(Transmission Control Protocol/Internet Protocol) is used as a standard for transmitting data over networks. In simple terms, HTTP has rules, properties, and methods that implement the transmission of messages in form of hyperlinks over the communication structures enforced by the TCP/IP.

.You must know that the internet is based on connected physical computational devices over either copper wires, fiber optical cables, wireless, and other media to form data transmission and retrieval systems across the globe. Trust me, that is a whole career field in itself and we are not interested in its elaborate ramblings in this post.

#flask #web developemnt #flask #flask requests #webdevelopment

Arvel  Parker

Arvel Parker

1591184760

Visual Analytics Services for Data-Driven Decision Making

Visual analytics is the process of collecting, examining complex and large data sets (structured or unstructured) to get useful information to draw conclusions about the datasets and visualize the data or information in the form of interactive visual interfaces and graphical manner.

Data analytics is usually accomplished by extracting or collecting data from different data sources in the form of numbers, statistics and overall activity of any organization, with different deep learning and analytics tools, which is then processed using data visualization software and presented in the form of graphical charts, figures, and bars.

In today technology world, data are reproduced in incredible rate and amount. Visual Analytics helps the world to make the vast and complex amount of data useful and readable. Visual Analytics is the process to collect and store the data at a faster rate than analyze the data and make it helpful.

As human brain process visual content better than it processes plain text. So using advanced visual interfaces, humans may directly interact with the data analysis capabilities of today’s computers and allow them to make well-informed decisions in complex situations.

It allows you to create beautiful, interactive dashboards or reports that are immediately available on the web or a mobile device. The tool has a Data Explorer that makes it easy for the novice analyst to create forecasts, decision trees, or other fancy statistical methods.

#blogs #data visualization #data visualization tools #visual analytics #visualizing ml models