Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
Articles by Rishikesh Kumar Rishi
Page 32 of 102
How to plot with xgboost.XGBCClassifier.feature_importances_ model? (Matplotlib)
To change the size of a plot in xgboost.plot_importance, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Load the data from a csv file.Get x and y data from the loaded dataset.Get the xgboost.XGBCClassifier.feature_importances_ model instance.Fit x and y data into the model.Print the model.Make a bar plot.To display the figure, use show() method.Examplefrom numpy import loadtxt from xgboost import XGBClassifier from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True # data.csv contains data like -> 13, 145, 82, 19, 110, 22.2, 0.245, 57, ...
Read MoreHow to add third level of ticks in Python Matplotlib?
To add third level of ticks in Python Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create t and s data points using numpy.Create a figure and a set of subplots.Plot t and s using plot() method.Create a twin Axes sharing the Y-axis.Plot t and s using plot() method, on axis one.Set X-axis tick position.Create majors, minors and third level of ticks value (thirds).Set major and minor ticks locator with majors, minors and third tick values (thirds)Set ticks length using tick_params().Plot a horizontal line with gray color.To display the ...
Read MoreHow can I plot hysteresis threshold in Matplotlib?
To plot hysteresis threshold in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Load some greek coins, Greek coins from Pompeii.Find, high, low, and edges of the images using the sobel filter.Apply hysteresis thresholding to "image".Display the data as an image, i.e., on a 2D regular raster, using imshow() method.Set the titles for the original image and the image with hysteresis threshold.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt from skimage import data, filters plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] ...
Read MoreHow to make semilogx and semilogy plots in Matplotlib?
To make semilogx and semilogy plots, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.create a new figure or activate an existing figure.Scatter and plot x and y data points.Make a plot with log scaling on the X axis.Make a plot with log scaling on the Y axis.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = [10, 100, 1000, 10000, 100000] y = [2, 4, 8, 16, 32] fig = plt.figure() plt.scatter(x, y) plt.plot(x, y) ...
Read MoreProgrammatically Stop Interaction for specific Figure in Jupyter notebook
To programmatically stop interaction for specific figures in Jupyter notebook, we can use plt.off() to stop any interaction after that.Execute the following commnads sequentially −%matplotlib autoimport matplotlib.pyplot as pltplt.rcParams["figure.figsize"] = [7.50, 3.50]plt.rcParams["figure.autolayout"] = TrueCreate a figure and a set of subplots.Plot the line on the axis (From step 5).Turn off the interaction.To display the figure, use show() method.ExampleIn [1]: %matplotlib auto Using matplotlib backend: Qt5Agg In [2]: import matplotlib.pyplot as plt In [3]: plt.rcParams["figure.figsize"] = [7.50, 3.50] ...: plt.rcParams["figure.autolayout"] = True In [4]: fig, ax = plt.subplots() In [5]: ax.plot([2, 4, 7, 5, 4, 1]) ...
Read MoreHow to animate 3D plot_surface in Matplotlib?
To animate 3D plot_surface in Matplotlib, we can take the following steps−Initialize variables for number of mesh grids (N), frequency per second (fps) to call a function, and frame numbers (frn).Create x, y and z array for a curve.Make a function to make a z-array using lambda function.To pass a function into animation class, make a user-defined function that removes the previous plot and plot a surface using x, y and z-array.Create a new figure or activate an existing figure.Add a subplot arrangement using subplots() method.Set the Z-axis limit using set_zlim() method.Call the animation class to animate the surface plot.To ...
Read MoreHow to combine several matplotlib axes subplots into one figure?
To combine several matplotlib axes subplots into one figure, we can use subplots() method with nrow=2.StepsSet the figure size and adjust the padding between and around the subplots.Create x, y1 and y2 data points using numpy.Create a figure and a set of subplots.Plot x, y1 and y2 data points using plot() method.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(-10, 10, 100) y1 = np.sin(x) y2 = np.cos(x) fig, axes = plt.subplots(nrows=2) line1, = axes[0].plot(x, y1, color='red') line2, ...
Read MoreHow to get XKCD font working in Matplotlib?
To get xkcd font working, we can use plt.xkcd() to turn on sketch-style drawing mode.StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Use plt.xkcd() to turn on sketch-style drawing mode.Create a new figure or activate an existing figure.Add an axis to the figure as part of a subplot arrangement.Plot x and y data points using plot() method.Place a text and title on the plot.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x ...
Read MoreHow to make colorbar orientation horizontal in Python using Matplotlib?
To make colorbar orientation horizontal in Python, we can use orientation="horizontal" in the argument.StepsSet the figure size and adjust the padding between and around the subplots.Create random x, y and z data points using numpy.Create a figure and a set of subplots.Use scatter() method to plot x, y and z data points.Create a colorbar for a ScalarMappable instance, with horizontal orientation.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x, y, z = np.random.rand(3, 50) f, ax = plt.subplots() points = ax.scatter(x, y, c=z, s=50, ...
Read MoreHow to fill a polygon with a custom hatch in Matplotlib?
To fill a polygon with a custom hatch in matplotlib, we can override the matplotlib.hatch.Shapes class.StepsSet the figure size and adjust the padding between and around the subplots.Make a hatch shape using polygon class and get the path.Override the custom hatch shape class, with shape_vertices, shape_codes, etc.Create a new figure or activate an existing figure.Add an axes to the figure as part of a subplot arrangement.Add an axes patch of shape polygon.Set the hatching pattern.To display the figure, use show() method.Exampleimport matplotlib.hatch import matplotlib.pyplot as plt from matplotlib.patches import Polygon plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True my_hatch_shape ...
Read More