To change the figsize for mathshow, we can use figsize in figure method argument and use fignum in matshow() method.StepsCreate a new figure or activate an existing figure using figure() method.Create a dataframe using Pandas.Use matshow() method to display an array as a matrix in a new figure window.The argument ... Read More

To change the font size of ticks of a colorbar, we can take the following steps−Create a random data set of 5☓5 dimension.Display the data as an image, i.e., on a 2D regular raster.Create a colorbar with a scalar mappable object image.Initialize a variable for fontsize to change the tick ... Read More

To modify the outline color of a node in networkx, we can use set_edgecolor() method.StepsCreate a Pandas dataframe with from and to keys.Return a graph from Pandas DataFrame containing an edge list.Get the position of the nodes.Draw the nodes of the graph using draw_networkx_nodes().Set the outline color of the nodes ... Read More

To set the number of ticks in a colorbar, we can take the following steps−Create random data using numpyDisplay the data as an image, i.e., on a 2D regular raster.Make a colorbar using colorbar() method with an image scalar mappable object.Set the ticks and tick labels of the colorbar using ... Read More

To plot data into imshow() with custom colormap in matplotlib, we can take the following steps−Set the figure size and adjust the padding between and around the subplots.Create random data points using numpy.Generate a colormap object from a list of colors.Display the data as an image, i.e., on a 2D ... Read More

To turn off error bars in a Seaborn bar plot, we can take the following steps−Load an example dataset from the online repository (requires Internet).Show the point estimates and confidence intervals with bars.To display the figure, use show() method.Exampleimport seaborn as sns import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] ... Read More

To set Step on X-axis in a figure in Matplotlib Python, we can take the following Steps −StepsCreate a list of data points, x.Add a subplot to the current figure using subplot() method.Set xticks and ticklabels with rotation=45.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, ... Read More

To read an image in Python OpenCV, we can take the following Steps −Load an image from a file.Display the image in the specified window.Wait for a pressed key.Destroy all of the HighGUI windows.Exampleimport cv2 img = cv2.imread("baseball.png", cv2.IMREAD_COLOR) cv2.imshow("baseball", img) cv2.waitKey(0) cv2.destroyAllWindows()OutputRead More

The default color of a scatter point is blue. To get the default blue color of matplotlib scatter point, we can annotate them using annotate() method.StepsCreate a figure and a set of subplots using subplots() method.Plot a scatter point at (-1, 1) location.Add some label for that point.Plot a scatter ... Read More

To set the same color for markers and lines in a matplotlib, we can take the following Steps −Initialize m, n and x data points using numpy.Create a new figure or activate an existing figure using figure() method.Clear the figure using clf() method.Add a subplot to the current figure using ... Read More