!jupyter nbconvert --to html

I've found your video very helpful and easy to understand. Thank you for sharing.

show🌏

The best explanation I have found. Thanks!

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Thank you for your help, i subscribed

very good content loving it

Thank you!

Thank you! So helpful

x_steps and y_steps shouldnt be independently sampled. the length and angle should be sampled and then x_step and y_step can be calculated. Thats why the levy flight doesn't travel large distances diagonally in your example

How many rows or maximum row of data or database when we use Seaborn or Matplotlib?

nice this worked for me..thanks.

Great video, thanks

THANKS

# show multiple line charts at the same time plot_date() plt.figure(figsize=(15,7)) # Gold plt.plot_date(x=df['Date'], y=df['Gold'],linestyle='--',marker='X',markersize=10, c='orange', mfc='lightblue',mec='black') # Platunum plt.plot_date(x=df['Date'], y=df['Platinum'],linestyle='--',c='grey') plt.xticks(rotation=35) plt.show() I can't see the graph together....like below; --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[52], line 9 6 plt.plot_date(x=df['Date'], y=df['Gold'],linestyle='--',marker='X',markersize=10, 7 c='orange', mfc='lightblue',mec='black') 8 # Platunum ----> 9 plt.plot_date(x=df['Date'], y=df['Platinum'],linestyle='--',c='grey') 12 plt.xticks(rotation=35) 13 plt.show() ile ~\AppData\Local\anaconda3\Lib\site-packages\matplotlib\dates.py:234, in _get_tzinfo(tz) 232 if isinstance(tz, datetime.tzinfo): 233 return tz --> 234 raise TypeError("tz must be string or tzinfo subclass.") TypeError: tz must be string or tzinfo subclass.

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thanks！i am a beginner for python from CN.

Did help. Thank you so much!

Love you! Thanks for your work

Thank you for this tutorial.

Hi, great video, it has helped me a ton! I have a question. Is it possible to extract the KDE value it calculated or used to create the plot from one of those functions?

thank you that was useful ,,, but could you share the code file

The way you solve the real task is really great and followable, big thanks 👍🏼

Thanks a lot for your videos they have been an extrodinary help even though I have watched a lot of other courses and videos but your videos on particular were way more informative

Good stuff! Thank you.

Thank you! I wanted to know how to import a dataframe into networkx. Very helpful

Whats your name ??

Thank you so much ❤

Thank you, very useful lessons for me)

Great tutorials, I used to struggle in creating these charts so resorted to copy and paste but I really wanted to learn Python. Your videos have immensely helped me to learn very well without referring to anything. I request you to do similar ones one machine learning and any data-related video. Cheers

thank you!

Really useful, and well presented. Thank you!

great...

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Great work ! That's really helpful

Excellent tut. Are you going to resume posting videos? :)

Thanku So much

wonderful! subscribed

There is always something new to be learned!

I like your videos. Thank you for sharing your knowledge.

very well explained, thanks for your work. you got a new subscriber

Nice work, I found your video very helpful. You have presented it in a professional way and above all it was simple to understand. Thank you from Italy.

Thank u mam for giving a valuable content.

Very clear, thank you

Great content. Please continue. Thanks