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Python Articles
Page 670 of 852
How to modify a Matplotlib legend after it has been created?
To modify a Matplotlib legend after it has been created, we can have multiple methods to modify the created legend.Set the figure size and adjust the padding between and around the subplots.Plot a line using plot() method, with two lists and a label.Use legend() method to place a legend over the plot.To modify the matplotlib legend, use set_title() method.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"] = True plt.plot([1, 3, 4, 5, 2, 1], [3, 4, 1, 3, 0, 1], label="line plot", color='red', lw=0.5) ...
Read MorePlotting error bars from a dataframe using Seaborn FacetGrid (Matplotlib)
To plot error bars from a dataframe using Seaborn FacetGrid, we can use following steps −Get a two-dimensional, size-mutable, potentially heterogeneous tabular data.Multi-plot grid for plotting conditional relationships.Apply a plotting function to each facet's subset of the data.To display the figure, use show() method.Exampleimport pandas as pd import seaborn as sns from matplotlib import pyplot as plt df = pd.DataFrame({'col1': [3.0, 7.0, 8.0], 'col2': [1.0, 4.0, 3.0]}) g = sns.FacetGrid(df, col="col1", hue="col1") g.map(plt.errorbar, "col1", "col2", yerr=0.75, fmt='o') plt.show()Output
Read MoreHow can I get pyplot images to show on a console app? (Matplotlib)
To show pyplot images on a console, we can use pyplot.show() method.StepsSet the figure size and adjust the padding between and around the subplots.Create random data of 5☓5 dimension.Use imshow() method, with data. Display the data as an image, i.e., on a 2D regular raster.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(5, 5) plt.imshow(data, cmap="copper") plt.show()Output
Read MoreHow to produce a barcode in Matplotlib?
To produce a barcode in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a list of binary numbers, i.e., 0s and 1s.Create a new figure or activate an existing figure with dpi=100Add an axes to the figure.Turn off the axes.Use imshow() method to plot the data from step 2.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 code = np.array([ 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, ...
Read MoreHow to handle times with a time zone in Matplotlib?
To handle times with a time zone in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a dataframe, i.e., two-dimensional, size-mutable, potentially heterogeneous tabular data.To handle times with a time zone, use pytz library that brings the Olson tz database into Python. This library allows accurate and cross-platform timezone calculations.Plot the dataframe using plot() method.To display the figure, use show() method.Exampleimport pandas as pd import numpy as np from matplotlib import pyplot as plt import pytz plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame( ...
Read MoreHow to change the default path for "save the figure" in Matplotlib?
To change the default path for "save the figure", we can use rcParams["savefig.directory"] to set the directory path.StepsSet the figure size and adjust the padding between and around the subplots.Create random data using numpy.Use imshow() method. Display the data as an image, i.e., on a 2D regular raster.Save the figure using plt.savefig() method.Exampleimport os import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True dir_name = "C:/Windows/Temp/" plt.rcParams["savefig.directory"] = os.chdir(os.path.dirname(dir_name)) data = np.random.rand(5, 5) plt.imshow(data, cmap="copper") plt.savefig("img.png")OutputWhen we execute the code, it will save the following plot as ...
Read MoreHow to have actual values in Matplotlib Pie Chart displayed?
To have actual or any custom values in Matplotlib pie chart displayed, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make lists of labels, fractions, explode position and get the sum of fractions to calculate the percentageMake a pie chart using labels, fracs and explode with autopct=lambda p: .To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True labels = ('Read', 'Eat', 'Sleep', 'Repeat') fracs = [5, 3, 4, 1] total = sum(fracs) explode = (0, 0.05, 0, 0) ...
Read MoreHow to plot MFCC in Python using Matplotlib?
To plot MFCC in Python, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Open and read a WAV file.Compute MFCC features from an audio signal.Create a figure and a set of subplots.Interchange two axes of an arrayDisplay the data as an image, i.e., on a 2D regular raster.To display the figure, use show() method.Examplefrom python_speech_features import mfcc import scipy.io.wavfile as wav import matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True (rate, sig) = wav.read("my_audio.wav") mfcc_data = mfcc(sig, rate) fig, ax = plt.subplots() ...
Read MoreHow can I convert from scatter size to data coordinates in Matplotlib?
To convert from scatter size to data coordinates in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x and s data points using numpy.Create a figure and a set of subplots.Make a scatter plot with X and s, cmap and color info.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.array([[1, 1], [2, 1], [2.5, 1]]) s = np.array([20, 10000, 10000]) fig, ax = plt.subplots() ax.scatter(X[:, 0], X[:, ...
Read MoreHow to load a .ttf file in Matplotlib using mpl.rcParams?
To load a .ttf file in Matplotlib using mpl.rcParams, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize the path for the .ttf file.Get an instance of a class for storing and manipulating the font properties.Set the font family with the name of the font that best matches the font properties.Create a figure and a set of subplots.Set the title of the figure.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt, font_manager as fm plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True path = '/usr/share/fonts/truetype/malayalam/Karumbi.ttf' ...
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