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Matplotlib Articles
Page 33 of 91
Matplotlib animation not working in IPython Notebook?
To animate a plot in matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a random data of shape 10X10 dimension.Create a figure and a set of subplots, using subplots() method.Makes an animation by repeatedly calling a function *func*, using FuncAnimation() class.To update the contour value in a function, we can define a method animate that can be used in FuncAnimation() class.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = ...
Read MoreHow to display the count over the bar in Matplotlib histogram?
To display the count over the bar in matplotlib histogram, we can iterate each patch and use text() method to place the values over the patches.StepsSet the figure size and adjust the padding between and around the subplots.Make a list of numbers to make a histogram plot.Use hist() method to make histograms.Iterate the patches and calculate the mid-values of each patch and height of the patch to place a text.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 data = [3, 5, 1, 7, 9, 5, 3, 7, 5] _, ...
Read MoreHow to replace auto-labelled relative values by absolute values in Matplotlib?
To replace auto-labelled relayive values by absolute values in matplotlib, we can use autopct=lambda p: .StepsSet 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 percentage.Make 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) plt.pie(fracs, explode=explode, labels=labels, ...
Read MoreHow to make simple double head arrows on the axes in Matplotlib?
To make simple double head arrows on the axes in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Use annotate() method to annotate the point xy with text='Arrows'. Start the tuple and end it for positions. In arrowprops dictionary, use arrowstyle "" and color='red'.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 plt.annotate('Arrows', xy=(0.1, .1), xytext=(0.5, 0.5), arrowprops=dict(arrowstyle='', color='red')) plt.show()Output
Read MoreHow to add legends and title to grouped histograms generated by Pandas? (Matplotlib)
To add legends and title to grouped histograms generated by Pandas, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a Pandas dataframe with "a", "b", "c" and "d" keys.Plot data frame with kind="hist"Set a title for the axes.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt import pandas as pd plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame({'a': [1, 1, 1, 1, 3], 'b': [1, 1, 2, 1, 3], 'c': [2, 2, 2, 1, 3], 'd': [2, 1, 2, 1, 3], }) df.plot(kind='hist') plt.title("Grouped Histograms") plt.show()Output
Read MorePlot scatter points on polar axis in Matplotlib
To plot scatter points on polar axis in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a variable, N, for number of sample data.Get r, theta, area and color data using numpyCreate a new figure or activate an existing figure.Plot theta, r, colors and area, using scatter() 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 N = 150 r = 2 * np.random.rand(N) theta = 2 * np.pi * np.random.rand(N) area = 200 ...
Read MoreHow do I omit Matplotlib printed output in Python / Jupyter notebook?
To omit matplotlib printed output in Python/Jupeter notebook, we can take the following steps −import numpy as np.from matplotlib import pyplot as pltCreate points for x, i.e., np.linspace(1, 10, 1000)Now, plot the line using plot() method.To hide the instance, use plt.plot(x); (with semi-colon)Or, use _ = plt.plot(x).ExampleIn [1]: import numpy as np In [2]: from matplotlib import pyplot as plt In [3]: x = np.linspace(1, 10, 1000) In [4]: plt.plot(x) Out[4]: [] In [5]: plt.plot(x); In [6]: _ = plt.plot(x) In [7]:OutputOut[4]: []
Read MoreHow to save figures to pdf as raster images in Matplotlib?
To save figures to pdf as raster images in Matplotlib, 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.Add an axes to the figure as part of a subplot arrangement.Create random data using numpy.Display the data as an image, i.e., on a 2D regular raster.Save the plot as pdf format.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(111, rasterized=True) data = np.random.rand(5, 5) ax.imshow(data, cmap="copper", aspect=True, interpolation="nearest") ...
Read MoreHow can I get the color of the last figure in Matplotlib?
To get the color of the last figure, we can use get_color() method for every plot.Set the figure size and adjust the padding between and around the subplots.Create x and y data point using numpy.Plot (x, x), (x, x2) and (x, x3) using plot() method.Place a legend for every plot line.Get the color of each plot using get_color() 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 x = np.arange(10) y = np.arange(10) p = plt.plot(x, y, x, y ** 2, x, y ** 3) ...
Read MoreHow do I customize the display of edge labels using networkx in Matplotlib?
To set the networkx edge labels offset, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a graph with edges, name, or graph attributes.Add multiple nodes.Position the nodes using Fruchterman-Reingold force-directed algorithm.Draw the graph G with Matplotlib.Draw edge labels.To display the figure, use show() method.Exampleimport matplotlib.pylab as plt import networkx as nx plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True G = nx.DiGraph() G.add_nodes_from([1, 2, 3, 4]) G.add_edges_from([(1, 2), (2, 3), (3, 4), (4, 1), (1, 3)]) pos = nx.spring_layout(G) for u, v, d in G.edges(data=True): d['weight'] ...
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