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Matplotlib Articles
Page 57 of 91
Adding a scatter of points to a boxplot using Matplotlib
To add a scatter of points to a boxplot using matplotlib, we can use boxplot() method and enumerate the Pandas dataframe to get the x and y data points to plot the scatter points.StepsSet the figure size and adjust the padding between and around the subplots.Make a dataframe using DataFrame class with the keys, Box1 and Box2.Make boxplots from the dataframe.Find x and y for the scatter plot using data (Step 1).To display the figure, use show() method.Exampleimport pandas as pd import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = ...
Read MoreHow to center labels in a Matplotlib histogram plot?
To place the labels at the center in a histogram plot, we can calculate the mid-point of each patch and place the ticklabels accordinly using xticks() method.StepsSet the figure size and adjust the padding between and around the subplots.Create a random standard sample data, x.Initialize a variable for number of bins.Use hist() method to make a histogram plot.Calculate the list of ticks at the center of each patch.Make a list of tickslabels.Use xticks() method to place xticks and labels.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"] = ...
Read MoreHow to extract data from a Matplotlib plot?
To extract data from a plot in matplotlib, we can use get_xdata() and get_ydata() methods.StepsSet the figure size and adjust the padding between and around the subplots.Create y data points using numpy.Plot y data points with color=red and linewidth=5.Print a statment for data extraction.Use get_xdata() and get_ydata() methods to extract the data from the plot (step 3).Print x and y data (Step 5).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 y = np.array([1, 3, 2, 5, 2, 3, 1]) curve, = plt.plot(y, c='red', lw=5) print("Extracting ...
Read MoreShow tick labels when sharing an axis in Matplotlib
To show the tick labels when sharing an axis, we can just use the subplot() method with sharey argument. By default, y ticklabels could be visible.StepsSet the figure size and adjust the padding between and around the subplots.Add a subplot to the current figure using subplot() method, where nrows=1, ncols=2 and index=1 for axis ax1.Plot a line on the axis 1.Add a subplot to the current figure, using subplot() method, where nrows=1, ncols=2 and index=2 for axis ax2.Plot a line on the axis 2.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] ...
Read MoreHow to plot complex numbers (Argand Diagram) using Matplotlib?
To plot complex numbers using matplotlib, we can make a dataset with complex numbers.StepsSet the figure size and adjust the padding between and around the subplots.Create random complex numbers.Create a figure and a set of subplots using subplots() method.Plot the scatter points using scatter() 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 data = np.random.rand(10) + 1j*np.random.rand(10) fig, ax = plt.subplots() ax.scatter(data.real, data.imag, c=data.real, cmap="RdYlBu_r") plt.show()Output
Read MorePlotting multiple line graphs using Pandas and Matplotlib
To plot multiple line graphs using Pandas and Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a 2D potentially heterogeneous tabular data using Pandas DataFrame class, where the column are x, y and equation.Get the reshaped dataframe organized by the given index such as x, equation, and y.Use the plot() method to plot the lines.To display the figure, use show() method.Exampleimport pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame([ ["y=x^3", 0, 0], ["y=x^3", 1, 1], ...
Read MoreHow to animate a line plot in Matplotlib?
To animate the line plot in matplotlib, we can take the following steps −Create a figure and a set of subplots using subplots() method.Limit x and y axes scale.Create x and t data points using numpy.Return coordinate matrices from coordinate vectors, X2 and T2.Plot a line with x and F data points using plot() method.To make animation plot, update y data.Make an animation by repeatedly calling a function *func*, current fig, animate, and interval.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt, animation plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig, ax = ...
Read MoreHow to show multiple colorbars in Matplotlib?
To show multiple colorbars 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.Initialize a variable N for the number of sample data.Create random data1 using numpy.Display data as an image, i.e., on a 2D regular raster, with data1.Add a colorbar to a plot.Repeat steps 4, 5, and 6, with different datasets and axes.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 fig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1) N ...
Read MorePlot a circle with an edgecolor in Matplotlib
To plot a circle with an edgecolor in matplotlib, we can take the following Steps −Create a new figure or activate an existing figure using figure() method.Add a subplot method to the current axis.Create a circle instance using Circle() class with an edgecolor and linewidth of the edge.Add a circle path on the plot.To place the text in the circle, we can use text() method.Scale the X and Y axes using xlim() and ylim() methods.To display the figure, use show() method.Exampleimport matplotlib from matplotlib import pyplot as plt, patches plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax ...
Read MoreHow to plot a bar graph in Matplotlib from a Pandas series?
To plot a bar graph from a Pandas series in matplotlib, we can take the following Steps −Make a dictionary of different keys, between the range 1 to 10.Make a dataframe using Pandas data frame.Create a bar plot using plot() method with kind="bar".To display the figure, use show() method.Exampleimport pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True d = {'y=1/x': [1 / i for i in range(1, 10)], 'y=x': [i for i in range(1, 10)], 'y=x^2': [i * i for i in range(1, 10)], 'y=x^3': [i * i * ...
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