1598789880
A Complete Guide To Bamboolib - GUI Tool for Analyzing Pandas
Analyzing and Visualizing the data is the most important and time taking process. We need to invest a lot of time in order to clearly analyze what the data is all about and what it is trying to tell. We use different types of python libraries and functions to visualize the patterns and anomalies in the dataset in order to get familiar with the dataset.
Bamboolib is GUI for pandas DataFrames that enables anyone to work with python in Jupyter Notebook or JupyterLab. Bamboolib is a highly interactive and extensively helpful library in order to analyze, visualize, and manipulate the data. Even a person with a non-technical background can use it to draw insights from data because it does not require any coding experience.
Bamboolib is used by more than 100 companies and it allows data analysts to work with python even without writing code. Bamboolib is not open-source which means that you need to buy bamboolib in order to use it, but it provides a 14-day free trial version so that you can fully explore it and see how it can be useful for you.
In this article, we will explore different uses of bamboolib and see how it saves time and effort. We will explore different functions that bamboolib provides and also export the code used for that functionality.
Implementation of Bamboolib:
For exploring bamboolib we first need to register on their website for a 14 days free trial. After registering you will receive an email with the activation key on registered email-id. Like any other python library, we need to install bamboolib using pip install bamboolib.
- Importing required libraries
We will need to import pandas for loading the dataset and bamboolib for visualizing the dataset.
import bamboolib as bam
import pandas as pd
- Loading the dataset
We will be using a car design dataset here, which contains different attributes related to Automobile Manufacturing companies. You can download this dataset from Kaggle. We will use pandas to load this dataset.
df = pd.read_csv(‘car_design.csv’)
- Analyzing the dataset
This is the main step where we will analyze and visualize the dataset using bamboolib.
bam.show(df)
#developers corner #automating eda #data analytics #eda #pandas #plotly #python pandas #visualization
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1599145500
Complete Guide to Develop an Interface Using Tkinter Python GUI Toolkit
A Graphical User Interface allows the user to interact with the application created on different platforms.
GUI interfaces use different indicators like audio indicators, graphical icons, different widgets which makes it highly interactive and user friendly rather than Command-Line applications which are not visually appealing and are text-based interactions.
Tkinter provides a GUI look to the standard python interface. It comes pre-installed with the standard versions of Python on Windows, Linux, and macOS. Tkinter is a Python binding to the Tk GUI toolkit which is why it is named Tkinter. It is the most commonly used python GUI toolkit due to a large variety of widgets it supports and its ease of use.
Tkinter provides powerful GUI based widgets and functions which create a visually appealing and highly creative application in just a few lines of codes. Tkinter is famous for creating a GUI application because it opens up in a new window where the user can interact with the application.
In this article, we will explore how we can create a GUI application with a variety of widgets that are available in Tkinter.
Implementation of Tkinter Python GUI Toolkit
As Tkinter comes pre-installed with standard python installation so we will not be installing it although if you don’t have it installed you can install it using pip install tkinter.
- Importing required libraries
We will create a form using Tkinter and the widgets it provides. So we will import Tkinter. Also, we will create a window that will initiate the Tk class.
import tkinter as tk
window = tk.Tk()
- Creating a form step by step
Now we will create the form using different widgets and wrapping them in a single loop.
- Setting the Title
We will start by setting the turtle of the window that will run our form. As I already mentioned that we need everything in a single loop so that everything displays at one go we will create the main loop and define all our widgets and functions before that.
window.title('Article Submission Form')
window.mainloop() #this will be the end of our form to wrap everything
This is the basic layout of the window we created with the title as we mentioned in the code.
- Adding Label and Textbox
We will start by adding Labels for different sections and adding a text box to those labels to the user input. We will also make the application window a bit large in size so that we can see everything clearly without maximizing. Here we will use the ‘place’ function which takes the X and Y coordinate values and displays the widgets accordingly.
#developers corner #complete guide #gui frameworks #gui interface #gui toolkit #python gui toolkit #python programming #tkinter
1597924435
A Complete Guide To Bamboolib - GUI Tool for Analyzing Pandas DataFrames
Analyzing and Visualizing the data is the most important and time taking process. We need to invest a lot of time in order to clearly analyze what the data is all about and what it is trying to tell. We use different types of python libraries and functions to visualize the patterns and anomalies in the dataset in order to get familiar with the dataset.
#visualization #pandas #bamboolib #python #jupyter #data
1598789880
A Complete Guide To Bamboolib - GUI Tool for Analyzing Pandas
Analyzing and Visualizing the data is the most important and time taking process. We need to invest a lot of time in order to clearly analyze what the data is all about and what it is trying to tell. We use different types of python libraries and functions to visualize the patterns and anomalies in the dataset in order to get familiar with the dataset.
Bamboolib is GUI for pandas DataFrames that enables anyone to work with python in Jupyter Notebook or JupyterLab. Bamboolib is a highly interactive and extensively helpful library in order to analyze, visualize, and manipulate the data. Even a person with a non-technical background can use it to draw insights from data because it does not require any coding experience.
Bamboolib is used by more than 100 companies and it allows data analysts to work with python even without writing code. Bamboolib is not open-source which means that you need to buy bamboolib in order to use it, but it provides a 14-day free trial version so that you can fully explore it and see how it can be useful for you.
In this article, we will explore different uses of bamboolib and see how it saves time and effort. We will explore different functions that bamboolib provides and also export the code used for that functionality.
Implementation of Bamboolib:
For exploring bamboolib we first need to register on their website for a 14 days free trial. After registering you will receive an email with the activation key on registered email-id. Like any other python library, we need to install bamboolib using pip install bamboolib.
- Importing required libraries
We will need to import pandas for loading the dataset and bamboolib for visualizing the dataset.
import bamboolib as bam
import pandas as pd
- Loading the dataset
We will be using a car design dataset here, which contains different attributes related to Automobile Manufacturing companies. You can download this dataset from Kaggle. We will use pandas to load this dataset.
df = pd.read_csv(‘car_design.csv’)
- Analyzing the dataset
This is the main step where we will analyze and visualize the dataset using bamboolib.
bam.show(df)
#developers corner #automating eda #data analytics #eda #pandas #plotly #python pandas #visualization
1586702221
Python Pandas Objects - Pandas Series and Pandas Dataframe
In this post, we will learn about pandas’ data structures/objects. Pandas provide two type of data structures:-
Pandas Series
Pandas Series is a one dimensional indexed data, which can hold datatypes like integer, string, boolean, float, python object etc. A Pandas Series can hold only one data type at a time. The axis label of the data is called the index of the series. The labels need not to be unique but must be a hashable type. The index of the series can be integer, string and even time-series data. In general, Pandas Series is nothing but a column of an excel sheet with row index being the index of the series.
Pandas Dataframe
Pandas dataframe is a primary data structure of pandas. Pandas dataframe is a two-dimensional size mutable array with both flexible row indices and flexible column names. In general, it is just like an excel sheet or SQL table. It can also be seen as a python’s dict-like container for series objects.
#python #python-pandas #pandas-dataframe #pandas-series #pandas-tutorial
1623521340
Exploring Pandas GUI [List of Best Features You Should Be Aware Of]
Pandas is the favourite library for any Data Science enthusiast. It caters to all the needs of processing the Data via the structured tabular format, date-time formats, and providing the matplotlib API to instantly perform plotting within the pandas chaining operations. You can load Data from websites directly into data frames. This library also comes in very handy while performing exploratory data analysis that reveals insights about the dataset and various distributions it aligns with.
As more and more tools are built to enhance Data exploration, Pandas GUI is one of them that uses pandas as the core component and displays a windowed GUI with a lot of additional functions that are usually performed manually.
Let’s explore this utility and look at some of the best features.
Best Features of Python GUI
#data science #python gui #exploring pandas gui #pandas #list of best features you should be aware of #exploring