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Articles by Dev Prakash Sharma
Page 39 of 42
Disable the underlying window when a popup is created in Python TKinter
We are familiar with popup and used it in many applications. Popup in a tkinter application can be created by creating an instance of Toplevel(root) window. For a particular application, we can trigger the popup on a button object.Let us create a Python script to close the underlying or the main window after displaying the popup. We can close the main window while residing in a popup window by using the withdraw() method.ExampleThrough this example, we will create a popup dialog that can be triggered after clicking a button. Once the popup will open, the parent window will close automatically.#Import ...
Read MoreDifference between import tkinter as tk and from tkinter import
In order to work with tkinter applications and widgets, we have to import the tkinter library in the environment. There are multiple ways to import the tkinter library in the notebook.Using from tkinter import *Using import tkinter as tkThe first method to import the tkinter library is the most common, as it comes with all the inbuilt methods or functions. In the general sense, we don’t have to explicitly override the method for the widgets. In this way, we can create the object of widgets just by using the widget constructor. It comes with all the modules defined in tkinter.However, ...
Read MoreDifference between "fill" and "expand" options for tkinter pack method
Tkinter Pack Manager acts based on using the extra space within the parent widget. While packing a widget, we can specify whether the widget should shrink or fill in the entire screen. In order to enable the widget to grow in the entire window, we can use the 'fill' property. It helps to fill the widget in the screen by adding “x” as horizontal, “y” as vertical or “BOTH”.Whenever we use expand(boolean) property, then we are generally resizing the widget size to expand in its available space. It takes boolean values as true or false. When the expand property is ...
Read MoreCreating a popup message box with an Entry field in tkinter
Tkinter Popup are toplevel window interfaces that wrap up the widget and the element with the main window. It can be embedded in any main window using a handler like Button Widget. Popup can be created using the Toplevel(root) constructor.ExampleIn this example, we will create a simple application containing a Label widget and a button to open the popup message box which contains an Entry field. Once the popup is opened, it can have the functionality to go back to the main window.#Import the required library from tkinter import* #Create an instance of tkinter frame win= Tk() #Define geometry of ...
Read MoreHow to Plot Cluster using Clustermaps class in Matplotlib
Let us suppose you have given a dataset with various variables and data points thus in order to plot the cluster map for the given data points we can use Clustermaps class.In this example, we will import the wine quality dataset from the https://archive.ics.uci.edu/ml/datasets/wine+quality.import matplotlib.pyplot as plt import numpy as np import seaborn as sns sns.set(style='white') #Import the dataset wine_quality = pd.read_csv(‘winequality-red.csv’ delimeter=‘;’)Let us suppose we have raw data of wine Quality datasets and associated correlation matrix data.Now let us plot the clustermap of the data, row_colors = wine_quality["quality"].map(dict(zip(wine_quality["quality"].unique(), "rbg"))) g = sns.clustermap(wine_quality.drop('quality', axis=1), standard_scale=1, robust=True, row_colors=row_colors, cmap='viridis')Plot the ...
Read MoreHow to align multiple plots in a grid using GridSpec Class in Matplotlib
Aligning the multiple plots in a grid can be very messy and it can create multiple issues like higher width and height or minimal width to align all the plots. In order to align all the plots in a grid, we use GridSpec class.Let us suppose that we have a bar graph plot and we want to align the symmetry of the plot in this sample.First Import all the necessary libraries and plot some graphs in two grids. Then, we will plot a constant error bar and a symmetric and asymmetric error bar on the first grid. In the second ...
Read MorePlotting regression and residual plot in Matplotlib
To establish a simple relationship between the observations of a given joint distribution of a variable, we can create the plot for the regression model using Seaborn.To fit the dataset using the regression model, we have to first import the necessary libraries in Python.We will create plots for each regression model, (a) Linear Regression, (b) Polynomial Regression, and (c) Logistic Regression.In this example, we will use the wine quality dataset which can be accessed from here, https://archive.ics.uci.edu/ml/datasets/wine+qualityExampleimport matplotlib.pyplot as plt import seaborn as sns from scipy.stats import pearsonr sns.set(style="dark", color_codes=True) #import the dataset wine_quality = pd.read_csv('winequality-red.csv', delimiter=';') #Plotting ...
Read MoreAlgorithm to construct an Expression Tree in Data Structure
Expression treesExpression trees are those in which the leaf nodes have the values to be operated, and internal nodes contain the operator on which the leaf node will be performed.Example4 + ((7 + 9) * 2) will have an expression tree as followsAlgorithm to Construct an Expression TreeLet T be the expression tree.If T is not NULL: If T->data is an operand: return T.data A = solve(T.left) B = solve(T.right) --> Calculate operator for 'T.data' on A and B, and call recursively, return calculate(A, B, T.data)How to construct an expression tree?To construct an Expression Tree for ...
Read MoreHow to Capture a pick event and use it to activate or deactivate Line Plots in Matplotlib
After enabling the pick event property of artists in Matplotlib, the task is to use the pick event to enable and disable the line plots for a given axis in a set of plots.In order to pick a specific line plot, we use Legend.We will use a Binary classification plot to create the ROC Curve. ROC curve or Receiver Operating Characteristics curve is used for diagnostics, weather prediction and other applications. It contains True Negative Rate (TPR) and False Positive Rate (FPR). Using ROC, we will create multiple plots of the curve.Let us Import the libraries first. Here ‘nbAgg’ is used ...
Read MoreHow to customize spines of Matplotlib figures?
When we plot a figure in Matplotlib, it creates four spines around the figure, top, left, bottom and right. Spines are nothing but a box surrounded with the pictorial representation of the grid which displays some ticks and tickable axes on left(y) and bottom(x).Let us see how to customize the spines in a given figure. We will create six figures to see and customize the spines for it.First import the required libraries for the workbook.import numpy as np import matplotlib.pyplot as pltLet us draw graph for sines, theta = np.linspace(0, 2*np.pi, 128) y = np.sin(theta) fig = plt.figure(figsize=(8, 6))Define the ...
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