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In PHP, imagecreatefrompng() is an inbuilt function that is used to create a new image from a PNG file or URL. imagecreatefrompng() returns an image identifier representing the image obtained from the given filename.Syntaxresource imagecreatefrompng(string $filename)Parametersimagecreatefrompng() takes only one parameter, $filename. This parameter holds the name of the image or path to the PNG image.Return Valuesimagecreatefrompng() returns an image resource identifier on success, and it gives an error on false.Example 1 − Showing the loaded PNG image in the browserOutputExample 2 − Loaded and saving PNG image in the local drive pathOutputExplanation − In Example 2, a png image is ... Read More
imagecreatefromjpeg() is an inbuilt function in PHP that is used to create a new image from a JPEG file. It returns an image identifier representing the image obtained from the given filename.Syntaxresource imagecreatefromjpeg(string $filename)Parametersimagecreatefromjpeg() uses only one parameter, $filename, that holds the name of the image or path to the JPEG image.Return Valuesimagecreatefromjpeg() returns an image resource identifier on success, and it gives an error on false.Example 1OutputExample 2Input ImageOutput ImageExplanation − In Example 2, we loaded the jpeg image from the local path using the imagecreatefromjpeg() function. Thereafter, we used the imageflip() function to flip the image.Example 3 − ... Read More
To subset rows of an R data frame if all columns have values greater than a certain value, we can follow the below steps −First of all, create a data frame.Then, use filter_all function of dplyr package with all_vars function to subset the rows of the data frame for all columns having values greater than a certain value.Create the data frameLet's create a data frame as shown below −Example Live Demox1
To create horizontal line for Y variable at median in base R plot, we can follow the below steps −First of all, create two vectors and plot them.Create the horizontal line at median using abline function.Create the vectors and plot themLet’s create two random vectors and plot them as shown below −Example Live Demox
To create vertical line for X variable at median in base R plot, we can follow the below steps −First of all, create two vectors and plot them.Create the vertical line at median using abline function.Create the vectors and plot themLet’s create two random vectors and plot them as shown below −Example Live Demox
The hist() method returns n, bins and patches in matplotlib. Patches are the containers of individual artists used to create the histogram or list of such containers if there are multiple input datasets. Bins define the number of equal-width bins in the range.Let's take an example to understand how it works.stepsSet the figure size and adjust the padding between and around the subplots.Create random data points using numpy.Make a Hist plot with 100 bins.Set a property on an artist object.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"] = ... Read More
To get all the legends from a plot in matplotlib, we can use the get_children() method to get all the properties of an axis, then iterate all the properties. If an item is an instance of a Legend, then get the legend texts.stepsSet the figure size and adjust the padding between and around the subplots.Create x data points using numpy.Create a figure and a set of subplots.Plot sin(x) and cos(x) using plot() method with different labels and colors.Get the children of the axis and get the texts of the legend.To display the figure, use show() method.Exampleimport numpy as np from ... Read More
To plot a multicolored line based on a condition in Python Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create y data points using numpy.Make l and u data points to differentiate the colors.Plot the u and l data points using plot() method, with different colors.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True y = np.sin(np.linspace(-10, 10, 100)) u = y.copy() l = y.copy() u[u = 0] = np.nan plt.plot(u, color='red') ... Read More
To create a Boxplot with Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a list of xticks.Plot a boxplot with xticks data.Set xticks and xtick labels with 45° rotation.To display the figure, use show() method.Exampleimport seaborn as sns from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True xticks = [1, 4, 5, 2, 3] ax = sns.boxplot(xticks) ax.set_xticks(xticks) ax.set_xticklabels(["one", "two", "three", "four", "five"], rotation=45) plt.show()Output
To plot histogram bins interpreted with different bins, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a list of data to plot in histogram.Add a subplot to the current figure, nrows=1, ncols=3 and index=1.Plot a histogram with data; bins is a number.Add a subplot to the current figure, nrows=1, ncols=3 and index=2.Plot a histogram with data; bins is an array.Add a subplot to the current figure, nrows=1, ncols=3 and index=3.Plot a histogram with data, bins is a string.Exampleimport matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True ... Read More