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Articles by Rishikesh Kumar Rishi
Page 74 of 102
How do I set color to Rectangle in Matplotlib?
To set color to a rectangle in matplotlib, we can take the following steps −Create a figure or activate an existing figure using figure() method.Add an '~.axes.Axes' to the figure as part of a subplot arrangement using add_subplot() method.A rectangle is defined via an anchor point with width and heights.Add a rectangle patch to the plot.Set the x and y limit using xlim() and ylim() method.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 fig = plt.figure() ax = fig.add_subplot(111) rectangle = patches.Rectangle((0, 0), 3, 3, edgecolor='orange', facecolor="green", linewidth=7) ax.add_patch(rectangle) plt.xlim([-5, 5]) plt.ylim([-5, 5]) ...
Read MoreHow to scale axes in Mplot3d?
To scale axes in mplot3d, we can take the following steps −Create a figure or activate an existing figure using figure() method.Instantaite 3D axes instance using Axes3D() class.To scale X-axis, use set_xlim3d() method.To scale Y-axis, use set_ylim3d() method.To scale Z-axis, use set_zlim3d() method.To display the plot, use show() method.Examplefrom mpl_toolkits.mplot3d import Axes3D from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = Axes3D(fig) ax.set_xlim3d(-100, 100) ax.set_ylim3d(-100, 100) ax.set_zlim3d(-100, 100) plt.show()Output
Read MoreHow to increase the font size of the legend in my Seaborn plot using Matplotlib?
To increase the font size of the legend in a Seaborn plot, we can use the fontsize variable and can use it in legend() method argument.StepsCreate a data frame using Pandas. The keys are number, count, and select.Plot a bar in Seaborn using barplot() method.Initialize a variable fontsize to increase the fontsize of the legend.Use legend() method to place legend on the figure with fontsize in the argument.To display the figure, use show() method.Exampleimport pandas import matplotlib.pylab as plt import seaborn as sns plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True df = pandas.DataFrame(dict( number=[2, 5, 1, 6, 3], count=[56, 21, 34, 36, ...
Read MoreHow to adjust the size of a Matplotlib legend box?
To adjust the size of a matplotlib legend box, we can use borderpad arguments in the legend method.StepsCreate line1 and line2 using two lists with different line widths.To place a legend on the figure and to adjust the size of legend box, use borderpad=2 in 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 line1, = plt.plot([1, 5, 1, 7], linewidth=0.7) line2, = plt.plot([5, 1, 7, 1], linewidth=2.0) plt.legend([line1, line2], ["line1", "line2"], bbox_to_anchor=(0.35, 1.0), borderpad=2) plt.show()Output
Read MoreHow to decrease the density of tick labels in subplots in Matplotlib?
To decrease the density of tick labels in subplots in matplotlib, we can assign the minimum value to density.StepsInitialize a variable, density.Create x and y data points using numpy.Plot x and y data points using plot() method.Get or set the current tick locations and labels of the X-axis using xticks() method.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 density = 10 x = np.linspace(-2, 2, density) y = np.sin(x) plt.plot(x, y) plt.xticks(x) plt.show()Output
Read MoreHow to switch axes in Matplotlib?
To switch axes in matplotlib, we can create a figure and add two subplots using subplots() method. Plot curves, extract x and y data, and set these data in a second plotted curve.StepsCreate x and y data points using numpy.Create a figure and add a set of two subplots.Set the title of the plot on both the axes.Plot x and y data points using plot() method.Extract the x and y data points using get_xdata and get_ydata.To switch the axes of the plot, set x_data and y_data of the axis 1 curve to axis 2 curve.Adjust the padding between and around the subplots.To display the ...
Read MorePlace text inside a circle in Matplotlib
To place text inside a circle in matplotlib, we can take the following steps −Create a new figure or activate an existing figure using figure() method.Add a subplot method to the current axis.Create a Circle instance using Circle() class.Add a circle path on the plot.To place the text in the circle, we can use text() method.Scale x and y axes using xlim() and ylim() methods.To display the figure, use show() method.Exampleimport matplotlib from matplotlib import pyplot as plt, patches plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = fig.add_subplot(111) circle = matplotlib.patches.Circle((0, 0), radius=1, color='yellow') ax.add_patch(circle) plt.text(-.25, 0, "This is a Circle") plt.xlim([-4, 4]) plt.ylim([-4, 4]) plt.axis('equal') ...
Read MoreHow to reshape a networkx graph in Python?
To reshape a networkx graph in Python, we can take the following steps −Create a data frame using Panda's data frame.Return a graph from Pandas DataFrame containing an edge list using from_pandas_edgelist() method.Draw the graph G with matplotlib. We can reshape the network by increasing and decreasing the list of keys "from" and "to".To display the figure, use show() method.Exampleimport pandas as pd import networkx as nx from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame({'from': ['A', 'B', 'C', 'A'], 'to': ['D', 'A', 'E', 'C']}) G = nx.from_pandas_edgelist(df, 'from', 'to') nx.draw(G, with_labels=True, node_size=150, alpha=0.5, linewidths=40) plt.show()Output
Read MoreHow to display print statements interlaced with Matplotlib plots inline in iPython?
To display print statements interlaced with matplotlib plots inline in iPython, we can take the following steps.StepsImport pyplot from matplotlib.Make a list of data for hist plots.Initialize a variable "i" to use in print statement.Iterate the list of data (Step 2).Create a figure and a set of subplots using subplots() method.Place print statement.Plot the histogram using hist() method.Increase "i" by 1.ExampleIn [1]: from matplotlib import pyplot as plt In [2]: myData = [[7, 8, 1], [2, 5, 2]] In [3]: i = 0 In [4]: for data in myData: ...: fig, ax = plt.subplots() ...: print("data number i =", ...
Read MoreHow to remove relative shift in Matplotlib axis?
To remove relative shift in matplotlib axis, we can take the following steps −Plot a line with two input lists.Using gca() method, get the current axis and then return the X-axis instance. Get the formatter of the major ticker. To remove the relative shift, use set_useOffset(False) 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 plt.plot([10, 101, 1001], [1, 2, 3]) plt.gca().get_xaxis().get_major_formatter().set_useOffset(False) plt.show()Output
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