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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)
Pie charts# Demo of plotting a pie chart. This example illustrates various parameters of pie. Label slices# Plot a pie chart of animals and label the slices. To add labels, pass a list of labels to the labels parameter
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.
21 mar 2022 · To plot a pie chart from a dataframe df you can use Panda's plot.pie: df.plot.pie(y='column_name') Example: import pandas as pd. df = pd.DataFrame({'activity': ['Work', 'Sleep', 'Play'], 'hours': [8, 10, 6]}) df.set_index('activity', inplace=True) print(df) # hours.
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.
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 ()
