To utilize numpy.ndarray in the title of a matplotlib plot with formatting, you can convert the numpy array to a string using the str() function and then use string formatting to add it to the title. Here is an example of how to do this:
import numpy as np
import matplotlib.pyplot as plt
# Create a numpy array
x = np.linspace(0, 10, 100)
# Create a plot
plt.plot(x, np.sin(x))
# Convert the numpy array to a string
arr_str = str(x)
# Add the numpy array to the title using string formatting
plt.title("Plot of sin(x)\nArray: {}".format(arr_str))
# Show the plot
plt.show()
In this example, we first create a numpy array x
using np.linspace()
. We then create a plot of sin(x)
using plt.plot()
.
Next, we convert the numpy array to a string using str(x)
. We then use string formatting in the plt.title()
function to add the numpy array to the title.
Finally, we show the plot using plt.show()
.
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Asked: 2023-05-23 12:38:34 +0000
Seen: 9 times
Last updated: May 23 '23
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