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Matplotlib Articles
Page 19 of 91
How to change the face color of a plot using Matplotlib?
To change the face color of a plot using matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Create a figure and a set of subplots.Plot the x and y data points using plot() method with color=yellow and linewidth=7.Set the facecolor of the axes, using set_facecolor().To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt import numpy as np # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Create x and y data points x ...
Read MorePlotting a masked surface plot using Python, Numpy and Matplotlib
To plot a masked surface plot using Python, Numpy and Matplotlib, 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.Add an 'ax' to the figure as part of a subplot arrangement.Return the coordinate matrices from coordinate vectors, pi and theta.Create x, y and z with masked data points.Create a surface plot with x, y, and z data points.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig = ...
Read MoreHow to set the border color of the dots in matplotlib's scatterplots?
To set the border color of the dots in matplotlib scatterplots, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a variable "N" to store the number of sample data.Create x and y data points using numpy.Plot the x and y data points using scatter() method. To set the border color of the dots, use the edgecolors parameter in the scatter() method. Here, we have used "red" as the border color of the dots by using edgecolors='red'.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot ...
Read MoreHow to make a rug plot in Matplotlib?
Rug plots are used to visualize the distribution of data. It is a plot of data for a single variable, displayed as marks along an axis. To make a rug plot in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x data points using numpy.Add representation of a kernel-density estimate using Gaussian kernels, kde1 and kde2.Create a new figure or activate an existing figure using figure() method.Add an 'ax1' to the figure as part of a subplot arrangement.Make a rug plot with marker_size=20.Plot x_eval, kde1(x_eval) and kde2(x_eval) data ...
Read MoreHow to fill rainbow color under a curve in Python Matplotlib?
To fill rainbow color under a curve in Python Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a user-defined method, plot_rainbow_under_curve(), that could have a list of 7 rainbow colors and create a set of data points "x" using numpy.Iterate in the range of 0 to 7 and plot the curve and fill the area between that curve.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True def plot_rainbow_under_curve(): rainbow_colors = ['violet', 'indigo', ...
Read MoreHow to draw axis lines inside a plot in Matplotlib?
To draw axis lines inside a plot in Matplotlib, 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.Create x data points using numpy.Add an 'ax' to the figure as part of a subplot arrangement.Plot x and x**x data points using plot() method.Set the left and bottom positions at 0, whereas color of the right and top spines none.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig = ...
Read MoreHow to set same scale for subplots in Python using Matplotlib?
To set the same scale for subplot in Python using Matplotlib, 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.Add an 'ax1' to the figure as part of a subplot arrangement with nrows=2, ncols=1 and index=1.Add another axis 'ax2' to the figure as part of a subplot arrangement with nrows=2, ncols=1 and index=2, with shared X-axis (to set same scale for subplots)Create "t" data points to plot sine and cosine curves on axes ax1 and ax2.To display the figure, use show() method.Exampleimport ...
Read MoreConditional removal of labels in Matplotlib pie chart
To remove labels from a Matplotlib pie chart based on a condition, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a Pandas dataframe of wwo-dimensional, size-mutable, potentially heterogeneous tabular data.Plot a pie chart, using pie() method with conditional removal of labels, such that if %age value is greater than 25, then only keep labels, otherwise remove them.To display the figure, use show() method.Exampleimport pandas as pd from matplotlib import pyplot as plt # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Create a ...
Read MoreMatplotlib – Make a Frequency histogram from a list with tuple elements in Python
To make a frequency histogram from a list with tuple elements in Python, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a list of tuples, data.Make lists of frequency and indices, after iterating the data.Make a bar plot usig bar() method.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True data = [("a", 1), ("c", 3), ("d", 4), ("b", 2), ("e", 7), ("f", 3), ('g', 2)] ind = [] fre = [] for item in data: ...
Read MoreHow to rotate a simple matplotlib Axes?
To rotate a simple matplotlib axes, we can take the following steps −Import the required packages −import matplotlib.pyplot as plt from matplotlib.transforms import Affine2D import mpl_toolkits.axisartist.floating_axes as floating_axesSet the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure.Make a tuple of axes extremes.Add a mutable 2D affine transformation, "t". Add a rotation (in degrees) to this transform in place.Add a transform from the source (curved) coordinate to target (rectilinear) coordinate.Add a floating axes "h" with the current figure with GridHelperCurveLinear() instance.Add an 'ax' to the figure as part of a ...
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