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Articles on Trending Technologies
Technical articles with clear explanations and examples
How can I rotate xtick labels through 90 degrees in Matplotlib?
To rotate xtick labels through 90 degrees, we can take the following steps −Make a list (x) of numbers.Add a subplot to the current figure.Set ticks on X-axis.Set xtick labels and use rotate=90 as the arguments in the 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 x = [1, 2, 3, 4] ax1 = plt.subplot() ax1.set_xticks(x) ax1.set_xticklabels(["one", "two", "three", "four"], rotation=90) plt.show()Output
Read MoreHow to plot multiple histograms on same plot with Seaborn using Matplotlib?
To plot multiple histograms on same plot with Seaborn, we can take the following steps −Create two lists (x and y).Create a figure and add a set of two subplots.Iterate a list consisting of x and y.Plot a histogram with histplot() method using the data in the list (step 3).Limit the X-axis range from 0 to 10.To display the figure, use show() method.Exampleimport seaborn as sns from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True x = [1, 5, 1, 4, 2] y = [7, 5, 6, 4, 5] fig, ax = plt.subplots() for a in [x, y]: ...
Read MoreHow does one insert statistical annotations (stars or p-values) into Matplotlib plots?
To insert statistical annotation, we can take the following steps −Create lists (x and y) of numbers.Using subplots() method, create a figure and a set of subplots.Using plot() method, plot the data that contains dates with linestyle "-.".Annotate a point in the plot using annotate() method, mean of x and y.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(-1, 1, 5) y = np.linspace(-2, 2, 5) mean_x = np.mean(x) mean_y = np.mean(y) fig, ax = plt.subplots() ax.plot(x, y, linestyle='-.') ax.annotate('*', (mean_y, mean_y), xytext=(-.50, 1), arrowprops=dict(arrowstyle='-|>')) ...
Read MoreAnnotate Time Series plot in Matplotlib
To annotate time series plot in matplotlib, we can take the following steps −Create lists for time and numbers.Using subplots() method, create a figure and a set of subplots.Using plot_date() method, plot the data that contains dates with linestyle "-.".Annotate a point in the plot using annotate() method.Date ticklabels often overlap, so it is useful to rotate them and right-align them.To display the figure, use show() method.Exampleimport datetime as dt from matplotlib import pyplot as plt, dates as mdates plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True x = [dt.datetime(2021, 1, 1), dt.datetime(2021, 1, 2), dt.datetime(2021, 1, 3), dt.datetime(2021, 1, 4)] y = ...
Read MoreAnnotate data points while plotting from Pandas DataFrame
To annotate data points while plotting from pandas data frame, we can take the following steps −Create df using DataFrame with x, y and index keys.Create a figure and a set of subplots using subplots() method.Plot a series of data frame using plot() method, kind='scatter', ax=ax, c='red' and marker='x'.To annotate the scatter point with the index value, iterate the data frame.To display the figure, use show() method.Exampleimport numpy as np import pandas as pd from matplotlib import pyplot as plt import string plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame({'x': np.random.rand(10), 'y': np.random.rand(10)}, index=list(string.ascii_lowercase[:10])) fig, ax = plt.subplots() df.plot('x', ...
Read MoreHow to fill color below a curve in Matplotlib?
To fill color below a curve, we can take the following steps −StepsInitialize variable n. Initialize x and y data points using numpy.Create a figure and a set of subplots, fig and ax.Plot the curve using plot() method.Use fill_between() method to fill the area between the two curves, with -1 value.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 n = 256 X = np.linspace(-np.pi, np.pi, n, endpoint=True) Y = np.sin(2 * X) fig, ax = plt.subplots() ax.plot(X, Y, color='blue', alpha=1.00) ax.fill_between(X, Y, 0, color='blue', alpha=.1) plt.show()Output
Read MorePlotting a histogram from pre-counted data in Matplotlib
To plot a histogram from pre-counted data in matplotlib, we can take the following steps −Create a list of numbers.Make a pre-counted list with the help of input data.Plot a histogram with data, color=red, and label=data, using hist() method.Plot another histogram with counted data, color=default, and label=counted_data, using hist() method.To place the legend, use legend() method.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True data = [1, 2, 2, 3, 4, 5, 5, 5, 5, 6, 10] counted_data = {1: 1, 2: 2, 3: 1, 4: 1, 5: 4, 6: 1, ...
Read MoreHow to show an Axes Subplot in Python?
To show an axes subplot in Python, we can use show() method. When multiple figures are created, then those images are displayed using show() method.StepsCreate x and y data points using numpy.Plot x and y using plot() method.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True x = np.arange(10) y = np.exp(x) plt.plot(x, y) plt.show()Output
Read MoreHow to change the color of the ticks in the colorbar in Matplotlib?
To change the color of the ticks in the colorbar in matplotlib, we can take the following steps−Create a random 2D−Array using numpy, with 4☓4 dimension.Use imshow() method to display the data as an image.Create a colorbar using colorbar() method with scalar mappable instance of imshow().Use getp() method to return the value of an object's property or print all of them.Set the property of an artist object.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.rand(4, 4) im = plt.imshow(data, cmap="twilight_shifted_r") cbar = plt.colorbar(im) ...
Read MoreDrawing a rectangle with only border in Matplotlib
To draw a rectangle with only border in matplotlib, we can take the following steps−Create a figure and a set of subplots.Get the current axes, creating one if necessary.Add a patch, i.e., a rectangle to the current axes that is returned in step 2. Set the facecolor attribute to 'none'.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt, patches plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True figure, _ = plt.subplots() ax = plt.gca() ax.add_patch(patches.Rectangle((.25, .25), .50, .50, edgecolor='orange', facecolor='none', linewidth=2)) plt.show()Output
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