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Python Articles
Page 739 of 855
How to plot collections.Counter histogram using Matplotlib?
To plot a histogram, with collections.Counter, we can use bar() method. In bar() method, we can use collections.counter() to get the frequency for each element. Put the elements and their frequency as height.StepsSet the figure size and adjust the padding between and around the subplots.Make a list of a data points.Get the dictionary, d, using collections.Counter().Make bar plot with d.keys() and d.values().To display the figure, use show() method.Exampleimport collections from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = [0, 1, 2, 4, 1, 3, 0, 4, 1, 4, 3, 5, 6, 5, ...
Read MoreHow to show the title for the diagram of Seaborn pairplot() or PridGrid()? (Matplotlib)
To show the title for the diagram for Seaborn pairplot(), we can use pp.fig.suptitle() method.StepsSet the figure size and adjust the padding between and around the subplots.Create a Pandas dataframe, i.e., a two-dimensional, size-mutable, potentially heterogeneous tabular data.Plot pairwise relationships in a dataset.Add a centered title to the figure.To display the figure, use show() method.Exampleimport seaborn as sns import pandas as pd import numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame(np.random.random((5, 5)), columns=["a", "b", "c", "d", "e"]) pp = ...
Read MoreHow to check that pylab backend of Matplotlib runs inline?
To check that pylab/pyplot backend of Matplotlib runs inline, we can use get_backend() method.The method returns the name of the current backend.Exampleimport matplotlib inline = matplotlib.get_backend() print("Backend: ", inline)OutputBackend: Qt5Agg
Read MoreHow can I attach a pyplot function to a figure instance? (Matplotlib)
To attach a pyplot function to a figure instance, we can use figure() method and add an axes to it.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.Add an '~.axes.Axes' to the figure as part of a subplot arrangement.Set a title to this axis using set_title() method.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 fig = plt.figure() ax = fig.add_subplot() ax.set_title("My Title!") plt.show()Output
Read MoreHow to add legend to imshow() in Matplotlib?
To add legend to imshow() in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create random data using numpy.Initialize a color map.Get the unique data points from sample data, step 2.Plot each color with different labels and color, to place on the legend.Place a legend at the upper right corner within a box.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt, cm plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.rand(3, 3) cmap = cm.YlOrBr unique_data = np.unique(data) i ...
Read MoreHow to pause a pylab figure until a key is pressed or mouse is clicked? (Matplotlib)
To pause a pylab figure until a key is pressed of mouse is clicked, we can use"button_press_event" key event.StepsSet the figure size and adjust the padding between and around the subplots.Set the "TkAgg" background.Turn the interactive mode ON.Create a new figure or activate an existing figure.Make a variable, pause=False.Whenever "button_press_event", pause the figure.Bind the function to the event.Create data, x and y data points using numpy.Iterate a True loop to change the plot line and color.To display the figure, use show() method.Exampleimport matplotlib from matplotlib import pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = ...
Read MoreHow to change the linewidth and markersize separately in a factorplot in Matplotlib?
To change the linewidth and markersize separately in a factorplot, we can use the following steps −Set the figure size and adjust the padding between and around the subplots.Load an example dataset from the online repository.Use factorplot() method with scale to change the marker size.To display the figure, use show() method.Exampleimport seaborn as sns from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True exercise = sns.load_dataset("exercise") g = sns.factorplot(x="time", y="pulse", hue="kind", data=exercise, ci=95, markers=['o', '*', 'd'], ...
Read MoreHow to change the space between bars when drawing multiple barplots in Pandas? (Matplotlib)
To change the space between bars when drawing multiple barplots in Pandas within a group, we can use linewidth in plot() method.StepsSet the figure size and adjust the padding between and around the subplots.Make a dictionary with two columns.Create a two-dimensional, size-mutable, potentially heterogeneous tabular data.Plot the dataframe with plot() method, with linewidth that change the space between the bars.Place a legend on the plot.To display the figure, use show() method.Exampleimport pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True d = {'Column 1': [i for i in range(10)], ...
Read MoreHow to install Matplotlib without installing Qt using Conda on Windows?
To install Matplotlib package with Conda, run one of the following −conda install -c conda-forge matplotlib-base conda install -c conda-forge/label/testing matplotlib-base conda install -c conda-forge/label/testing/gcc7 matplotlib-base conda install -c conda-forge/label/cf202003 matplotlib-base conda install -c conda-forge/label/matplotlib_rc matplotlib-base conda install -c conda-forge/label/gcc7 matplotlib-base conda install -c conda-forge/label/broken matplotlib-base conda install -c conda-forge/label/matplotlib-base_rc matplotlib-base conda install -c conda-forge/label/rc matplotlib-base conda install -c conda-forge/label/cf201901 matplotlib-base
Read MoreHow to reuse plots in Matplotlib?
To reuse plots 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 using figure() method.Plot a line with some input lists.To reuse the plot, update y data and the linewidth of the plotTo 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 line, = plt.plot([1, 3], [3, 4], label="line plot", color='red', lw=0.5) line.set_ydata([3.5]) line.set_linewidth(4) plt.show()Output
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