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Python Articles
Page 530 of 852
How to locate the median in a (Seaborn) KDE plot?
To locate the median in a seaborn KDE plot, we can take the following stepsSet the figure size and adjust the padding between and around the subplots.Create random data using numpy.Find the median of data (Step 2).Use kdeplot() to plot the shaded region.Use axvline() method to plot the vertical line.To display the figure, use show() method.Exampleimport numpy as np import seaborn as sns from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.randn(30) xmedian = np.median(data) k = sns.kdeplot(x=data, shade=True) plt.axvline(xmedian, c='red') plt.show()Output
Read MoreHow to set the margins of a Matplotlib figure?
To set the margins of a matplotlib figure, we can use margins() method.StepsSet the figure size and adjust the padding between and around the subplots.Create t and y data points using numpy.Add a subplot to the current figure at index 1.Plot t and y data points using plot() method.Set the title of the plot.Add a subplot to the current figure at index 2.Plot t and y data points using plot() method.Set the title of the plot.Set margins of the plot using margins(x=0, y=0).To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] ...
Read MoreAutomatically setting Y-axis limits for a bar graph using Matplotlib
To set Y-axis limit, we can use ylim() method and put maximum and minimum limit values.StepsSet the figure size and adjust the padding between and around the subplots.Create two lists for data points.Make two variables for max and min values for Y-axis.Use ylim() method to limit the Y-axis range.Use bar() method to plot the bars.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 x = [1, 2, 3, 4, 5] y = [8, 4, 6, 1, 3] max_y_lim = max(y) + .5 min_y_lim = min(y) plt.ylim(min_y_lim, max_y_lim) plt.bar(x, y) ...
Read MoreHow do you improve Matplotlib image quality?
To improve matplotlib image quality we can use greater dot per inch i.e dpi value (greater than 600) and pdf or .eps format can be recommended.StepsSet the figure size and adjust the padding between and around the subplots.Make a 2D data raster using a np.array.Display data as an image, i.e., on a 2D regular raster.Save the current image using savefig() with dpi=1200 and .eps format, 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.array( [[0.1, 0.7, 0.6, 0.3], ...
Read MoreAnnotate Subplots in a Figure with A, B, C using Matplotlib
To annotate subplots in a figure with A, B and C using matplotlib, we can take the following stepsSet the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots, with nrows=1 and ncols=3.Make a 1D iterator over an array.Iterate each axes and display data as an image.In the loop itself, place text A, B and C.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt import string plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig, axs = plt.subplots(1, 3) axs = axs.flat for index, ax ...
Read MoreWhat is the simplest way to make Matplotlib in OSX work in a virtual environment?
To make matplotlib in OSX work in a virtual environment, we can first create a virtual environment and then activate that created environment. Thereafter, install all the dependencies in that virtual environment.StepsOpen ubuntu terminal.apt-get install python-venvpython -m venv source /bin/activate
Read MoreHow to plot a stacked event duration using Python Pandas?
To plot a stacked event duration using Python Pandas, we can take the following stepsSet the figure size and adjust the padding between and around the subplots.Create a dataframe with lists of xmin and its corresponding xmax.Use hlines() method to plot a stacked event duration.To display the figure, use show() method.Exampleimport pandas as pd from datetime import datetime as dt from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame(dict(xmin=[dt.strptime('1994-07-19', '%Y-%m-%d'), dt.strptime('2006-03-16', '%Y-%m-%d'), dt.strptime('1980-10-31', '%Y-%m-%d'), dt.strptime('1981-06-11', '%Y-%m-%d'), dt.strptime('2006-06-28', '%Y-%m-%d')], ...
Read MoreHow to close a Python figure by keyboard input using Matplotlib?
To close a Python figure by a keyboard input, we can use plt.pause() method, an input, and close() method.StepsSet the figure size and adjust the padding between and around the subplots.Create random t and y data points using numpy.Create a new figure or activate an existing figure using figure() method.Plot t and y data points using plot() method.Set the title of the plot.Redraw the current figure using draw() method.Run a true loop to pause the current figure.Take input from the user to go to the next statement.Use close() method to close the figure.Exampleimport numpy as np from matplotlib import pyplot ...
Read MoreHow can I display an np.array with pylab.imshow() using Matplotlib?
To display an np.array with imshow(), we can take the following stepsSet the figure size and adjust the padding between and around the subplots.Make a 2D data raster using an np.array.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.array( [[0.1, 0.7, 0.6, 0.3], [0.2, 0.6, 0.5, 0.2], [0.8, 0.3, 0.80, 0.01], [0.3, 0.4, 0.2, 0.1]] ) plt.imshow(data, interpolation="nearest", cmap="RdYlGn_r") plt.show()Output
Read MoreIncreasing the space for X-axis labels in Matplotlib
To increase the space for X-axis labels in Matplotlib, we can use the spacing variable in subplots_adjust() method's argument.StepsSet the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure using figure() method.Create x and y data points using numpy.Plot x and y using plot() method.Put xlabel using xlabel() method with LaTex expression.Use subplots_adjust() method to increase or decrease the space for X-axis labelsTo 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 fig = plt.figure() x = ...
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