Here the task mentioned explains To display an image using OpenCV and Matplotlib in Python, first, read the image with cv2.imread(). Since OpenCV loads images in BGR format while Matplotlib expects RGB, convert the color format using cv2.cvtColor(). Finally, use plt.imshow() to show the image and plt.axis(“off”) to hide the axes for a cleaner display. …
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As to perform the task by reading and learning its resources the task gives certain learnings that are : Learning how to plot a DataFrame in Pandas makes it easy to turn your data into visual charts. You can create line plots, bar charts, histograms, and scatter plots right from the DataFrame. This uses Matplotlib …
Here the task mentioned to me Indexing and selecting Data with Pandas in Python the key learnings to me as intern are : Learning to index and select data in Pandas helps us work with large datasets easily. We can access rows and columns using .loc[] for labels and .iloc[] for positions. Filtering data with …
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