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In Matplotlib, the table function allows you to add a table to your plot. The loc parameter specifies the position of the table relative to the axes.
Example: Adding a Table with loc
import matplotlib.pyplot as plt# Sample datacolumns = ['A', 'B', 'C']rows = ['Row1', 'Row2']data = [[1, 2, 3], [4, 5, 6]]fig, ax = plt.subplots()# Hide axesax.axis('tight')ax.axis('off')# Add table with location at the bottomtable = ax.table(cellText=data, colLabels=columns, rowLabels=rows, loc='bottom')plt.show()Copié !✕CopierKey Points:
loc='bottom' places the table below the plot.
Other options for loc include 'top', 'center', 'left', 'right', etc.
Customizing Table Location with bbox
You can use the bbox parameter for precise placement by specifying [x, y, width, height].
table = ax.table(cellText=data, colLabels=columns, rowLabels=rows, bbox=[0.1, -0.3, 0.8, 0.2])Copié !✕CopierConsiderations:
matplotlib.pyplot.table — Matplotlib 3.10.8 documentation
The table can optionally have row and column headers, which are configured using rowLabels, rowColours, rowLoc and colLabels, colColours, colLoc respectively. …
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Exemple de code
axs[0].axis('tight')axs[0].axis('off')the_table = axs[0].table(cellText=clust_data,colLabels=collabel,loc='center')axs[1].plot(clust_data[:,0],clust_data[:,1])plt.show()...How to Create a Table with Matplotlib? - GeeksforGeeks
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The table () function in Matplotlib is used to create a table within a plot. It requires parameters such as the table data, column and row labels, and positioning …
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