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Plot a pie chart of animals and label the slices. To add labels, pass a list of labels to the labels parameter. import matplotlib.pyplot as plt labels = 'Frogs', 'Hogs', 'Dogs', 'Logs' sizes = [15, 30, 45, 10] fig, ax = plt.subplots() ax.pie(sizes, labels=labels)
- matplotlib.pyplot.pie
Plot a pie chart. Make a pie chart of array x. The...
- matplotlib.pyplot.pie
Plot a pie chart. Make a pie chart of array x. The fractional area of each wedge is given by x/sum(x). The wedges are plotted counterclockwise, by default starting from the x-axis. Parameters: x1D array-like. The wedge sizes. explodearray-like, default: None.
4 paź 2024 · Matplotlib API has pie () function in its pyplot module which create a pie chart representing the data in an array. let’s create pie chart in python. Syntax: matplotlib.pyplot.pie (data, explode=None, labels=None, colors=None, autopct=None, shadow=False) Parameters:
Creating Pie Charts. With Pyplot, you can use the pie () function to draw pie charts: Example. A simple pie chart: import matplotlib.pyplot as plt import numpy as np y = np.array ( [35, 25, 25, 15]) plt.pie (y) plt.show () Result: Try it Yourself »
12 kwi 2021 · In this tutorial, we'll cover how to plot a Pie Chart in Matplotlib. Pie charts represent data broken down into categories/labels. They're an intuitive and simple way to visualize proportional data - such as percentages.
21 mar 2022 · Pandas has this built in to the pd.DataFrame.plot(). All you have to do is use kind='pie' flag and tell it which column you want (or use subplots=True to get all columns). This will automatically add the labels for you and even do the percentage labels as well. import matplotlib.pyplot as plt df.Data.plot(kind='pie')
To create a pie chart in Python using Matplotlib: import matplotlib.pyplot as plt my_data = [value1, value2, value3, ...] my_labels = ["label1", "label2", "label3", ...] plt.pie (my_data, labels=my_labels, autopct= "%1.1f%%") plt.title ("My Title") plt.axis ("equal") plt.show ()
