Matplotlib Tutorial - Part 12: Show Images Using IMSHOW

[@electron46]

Your video is really excellent and I learned how simple it is to generate attractive borders for images. One suggestion is that using a larger font would make your videos more enjoyable to view. Even at max resolution and full screen, it's tough to read your code. Thanks.

[@AmirCharkhi]

Thanks for the heads up mate, I will make sure this point is noted in every future video🙂

[@MridulMishra-q3o]

I understand that we first gotta select only the red channel/layer out of the image and then we can display it in grayscale using cmap, but I am still unable to understand why cmap = 'gray' wasnt able to show the image in grayscale?

[@pascualsilva4210]

thanks it helps me better understand the concepts of computer vision

[@AmirCharkhi]

Thanks for the kind words! Feel free to forward it if it will help them🙂

[@jntak_]

Wonderful video!!

[@AmirCharkhi]

Thanks for the comment, glad you liked it

[@jntak_]

Yes I did. Very simple and straightforward explanations... Can you make a video on python for Seismics? 🙂

[@AmirCharkhi]

@@jntak_ For sure - just need to find the time, otherwise I have heaps of content I can share on Seismic :)

[@jntak_]

@@AmirCharkhi Anticipating :)

[@davidmichaelblessing]

You are a good teacher!

[@AmirCharkhi]

Thanks for your kindness, it is a pleasure to be able to help🙂

[@zarinaiztay3954]

thanks for the video, you explain very well, it's so interesting to listen to you

[@AmirCharkhi]

Thanks for your kind words. That definitely helps making more content:)

[@muthukrishnan2398]

Thank you so much for the tutorial. But there is this one error that keeps popping up.TypeError Traceback (most recent call last)
Cell In[12], line 2
1 plt.figure(figsize=(7,7))
----> 2 plt.imshow(my_array)
TypeError: Invalid shape (1, 2, 8) for image data

[@AmirCharkhi]

This is because your image is an RGB image (which means it is not a single channel image). If you want this to work you can change the code to the follwoing:
plt.imshow(my_array[:,:0])
This will only plot one layer of the image (the red channel).
Hope this helps :)

[@muthukrishnan2398]

Thank you. Now the code works. I highly appreciate ur content and quick response. Thank you. Is it possible to make videos on opencv and algorithms such as SIFT and FAST for feature detection.

[@AmirCharkhi]

@@muthukrishnan2398 yeah they are in the pipeline of videos just trying to find the time haha

[@hassansharif3186]

TypeError Traceback (most recent call last)
Cell In[199], line 2
1 plt.figure(figsize=(15,6))
----> 2 plt.show(spam_wc)
TypeError: 'WordCloud' object is not callable
help me to solve this error

[@AmirCharkhi]

Sure, here's a simple example of how to use the WordCloud library in Python:
```python
from wordcloud import WordCloud
import matplotlib.pyplot as plt
# Example text data
text = "Hello world! This is a simple example of how to create a word cloud using Python and the WordCloud library."
# Generate word cloud
wordcloud = WordCloud().generate(text)
# Display the word cloud
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()
```
Make sure you have the WordCloud library installed (`pip install wordcloud`) and the matplotlib library installed (`pip install matplotlib`). This example creates a basic word cloud from the text "Hello world! This is a simple example of how to create a word cloud using Python and the WordCloud library." and displays it using matplotlib.

[@debdipguchait861]

hi, thank you for the content. I have a question, can we change the value 500 to 50 not changing the image, not cutting the image? I only want to change the number written on that.

[@AmirCharkhi]

Yes you can, you need to set the xticks (or the yticks - depending on which axis you are intending to change) to go from [0, 50] :)