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
-
Economics & Finance
Matplotlib Articles
Page 26 of 91
How to plot an image with non-linear Y-axis with Matplotlib using imshow?
To plot an image with non-linear Y-axis with matplotlib using imshow() method, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Add a subplot to the current figure.Set nonlinear Y-axis ticks.Create random data points using numpy.Display data as an image, i.e., on a 2D regular raster, with data.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 ax = plt.subplot(111) ax.yaxis.set_ticks([0, 2, 4, 8]) data = np.random.randn(5, 5) plt.imshow(data, cmap='copper') plt.show()Output
Read MoreHow to create a matplotlib colormap that treats one value specially?
To create a matplotlib colormap that treats one value specially, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Get a colormap instance, name is "rainbow".Set the color for low out-of-range values, using set_under('red') method.Create random data and eps using numpy.Create a figure and a set of subplots.Display data as an image, i.e., on a 2D regular raster, using imshow() method.Create a colorbar for a ScalarMappable instance, im.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 cmap ...
Read MoreHow to show a figure that has been closed in Matplotlib?
To show a figure that has been closed in Matplotlib, we can create a new Canvas Manager and store the previous figure into a new Canvas figure.StepsSet the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure.Create x and y data points using numpy.Plot x and y data points using plot() method.Close the current figure where the plot has been plotted.Now, store the previous figure in a new Canvas figure.Set the Canvas that contains the figure.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as ...
Read MoreHow to set the Y-axis in radians in a Python plot?
To set the Y-axis in radians in a Python plot, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x and y data point using numpy.Create a new figure or activate an existing figure using figure() method.Add an axes, ax, to the figure as part of a subplot arrangement.Get the list of Y-axis ticks and ticklabels.Set the ticks and ticklabels using set_yticks() and set_yticklabels() methods.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 x = np.arange(-10.0, ...
Read MoreHow can box plot be overlaid on top of swarm plot in Seaborn?
To plot a Box plot overlaid on top of a Swarm plot in Seaborn, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a Pandas dataframe, i.e., two-dimensional, size-mutable, potentially heterogeneous tabular data.Initialize the plotter, swarmplot.To plot the box plot, use boxplot() method.To display the figure, use show() method.Exampleimport seaborn as sns import matplotlib.pyplot as plt import pandas as pd import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = pd.DataFrame({"Box1": np.arange(10), "Box2": np.arange(10)}) ax = sns.swarmplot(x="Box1", y="Box2", data=data, zorder=0) sns.boxplot(x="Box1", y="Box2", data=data, showcaps=False, ...
Read MoreAdjust the width of box in boxplot in Python Matplotlib
To adjust the width of box in boxplot in Python matplotlib, we can use width in the boxplot() method.StepsSet the figure size and adjust the padding between and around the subplots.Make a Pandas dataframe, i.e., two-dimensional, size-mutable, potentially heterogeneous tabular data.Make a box and whisker plot, using boxplot() method with width tuple to adjust the box in boxplot.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 = pd.DataFrame({"Box1": np.random.rand(10), "Box2": np.random.rand(10)}) ax = plt.boxplot(data, widths=(0.25, 0.5)) plt.show()Output
Read MoreHow to draw a heart with pylab?
To draw a heart with pylab/pyplot, we can follow the steps given below −StepsSet the figure size and adjust the padding between and around the subplots.Create x, y1 and y2 data points using numpy.Fill the area between (x, y1) and (x, y2) using fill_between() method.Place text on the plot using text() method at (0, -1.0) point.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(-2, 2, 1000) y1 = np.sqrt(1 - (abs(x) - 1) ** 2) y2 = -3 * np.sqrt(1 - ...
Read MoreHow do I show the same Matplotlib figure several times in a single IPython notebook?
To show the same Matplotlib figure several times in a single iPython notebook, 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.Plot the data points on that axes.To show the current figure again, use fig.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]) Out[5]: [] In [6]: fig.show()Output
Read MoreHow to plot sine curve on polar axes using Matplotlib?
To plot the sine curve on polar axes, 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 using figure() methodAdd an '~.axes.Axes' to the figure as part of a subplot arrangement.Get x and y data points using numpy.Plot x and y data points using plot() method.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 fig = plt.figure() ax = fig.add_subplot(projection='polar') x = np.linspace(-5, 5, 100) y = ...
Read MoreHow do I find the intersection of two line segments in Matplotlib?
To find the intersection of two lines segments in Matplotlib and pass the horizontal and vertical lines through that point, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create two lines using slopes (m1, m2) and intercepts (c1 and c2). Initialize the slopes and intercept values.Create x data points using numpy.Plot x, m1, m2, c2 and c1 data points using plot() method.Using intercepts and slope values, find the point of intersection.Plot the horizontal and vertical lines with dotted linestyle.Plot xi and yi points on the plot.To display the figure, use ...
Read More