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Jul 19 2023, 2:41 PM (49 w, 3 d)
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CS Abishek Das [ Global Accounts ]

Recent Activity

Mar 15 2024

Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Not able to generate video from the data frame? What might the reason be? As we have 7k+ columns and it's taking time can we generate a bar chart race video of only a few columns as an example?
And I read in the documentation that we should have 'ffmpeg' installed on our device as I am working on web paws Jupyter notebook and not locally do I also have to install 'ffmpeg'?

Download latest FFmpeg static build.

exist = !which ffmpeg
if not exist:

!curl https://johnvansickle.com/ffmpeg/releases/ffmpeg-release-amd64-static.tar.xz -o ffmpeg.tar.xz \
   && tar -xf ffmpeg.tar.xz && rm ffmpeg.tar.xz
ffmdir = !find . -iname ffmpeg-*-static
path = %env PATH
path = path + ':' + ffmdir[0]
%env PATH $path

!which ffmpeg
Add this code to your notebook , and you will be good to go.

Getting same error again.

Can you share the exact error, What are the errors you are getting Exactly?

KeyError Traceback (most recent call last)
File /srv/paws/lib/python3.10/site-packages/PIL/Image.py:2416, in Image.save(self, fp, format, **params)

2415 try:

-> 2416 format = EXTENSION[ext]

2417 except KeyError as e:

KeyError: '.mp4'

The above exception was the direct cause of the following exception:

ValueError Traceback (most recent call last)
File /srv/paws/lib/python3.10/site-packages/bar_chart_race/_make_chart.py:435, in _BarChartRace.make_animation(self)

434     else:

--> 435 ret_val = anim.save(self.filename, fps=self.fps, writer=self.writer)

436 except Exception as e:

File /srv/paws/lib/python3.10/site-packages/matplotlib/animation.py:1089, in Animation.save(self, filename, writer, fps, dpi, codec, bitrate, extra_args, metadata, extra_anim, savefig_kwargs, progress_callback)

1086 # canvas._is_saving = True makes the draw_event animation-starting
1087 # callback a no-op; canvas.manager = None prevents resizing the GUI
1088 # widget (both are likewise done in savefig()).

-> 1089 with writer.saving(self._fig, filename, dpi), \

1090      cbook._setattr_cm(self._fig.canvas, _is_saving=True, manager=None):
1091     for anim in all_anim:

File /usr/lib/python3.10/contextlib.py:142, in _GeneratorContextManager.exit(self, typ, value, traceback)

141 try:

--> 142 next(self.gen)

143 except StopIteration:

File /srv/paws/lib/python3.10/site-packages/matplotlib/animation.py:245, in AbstractMovieWriter.saving(self, fig, outfile, dpi, *args, **kwargs)

244 finally:

--> 245 self.finish()

File /srv/paws/lib/python3.10/site-packages/matplotlib/animation.py:515, in PillowWriter.finish(self)

514 def finish(self):

--> 515 self._frames[0].save(

516         self.outfile, save_all=True, append_images=self._frames[1:],
517         duration=int(1000 / self.fps), loop=0)

File /srv/paws/lib/python3.10/site-packages/PIL/Image.py:2419, in Image.save(self, fp, format, **params)

2418         msg = f"unknown file extension: {ext}"

-> 2419 raise ValueError(msg) from e

2421 if format.upper() not in SAVE:

ValueError: unknown file extension: .mp4

During handling of the above exception, another exception occurred:

Exception Traceback (most recent call last)
Cell In[8], line 11

 4     bcr.bar_chart_race(
 5         df=df,
 6         filename='AnalysisVideo.mp4',  
 7         title='Bar Chart Race',
 8         writer='matplotlib'
 9     )
10     return 'AnalysisVideo.mp4'

---> 11 video = dataframe_to_race_chart(first_20)

12 Video(video, embed=True)

Cell In[8], line 4, in dataframe_to_race_chart(df)

3 def dataframe_to_race_chart(df):

----> 4 bcr.bar_chart_race(

 5         df=df,
 6         filename='AnalysisVideo.mp4',  
 7         title='Bar Chart Race',
 8         writer='matplotlib'
 9     )
10     return 'AnalysisVideo.mp4'

File /srv/paws/lib/python3.10/site-packages/bar_chart_race/_make_chart.py:783, in bar_chart_race(df, filename, orientation, sort, n_bars, fixed_order, fixed_max, steps_per_period, period_length, interpolate_period, label_bars, bar_size, period_label, period_fmt, period_summary_func, perpendicular_bar_func, figsize, cmap, title, title_size, bar_label_size, tick_label_size, shared_fontdict, scale, writer, fig, dpi, bar_kwargs, filter_column_colors)

 461 '''
 462 Create an animated bar chart race using matplotlib. Data must be in 
 463 'wide' format where each row represents a single time period and each 
(...)
 776 These sizes are relative to plt.rcParams['font.size'].
 777 '''
 778 bcr = _BarChartRace(df, filename, orientation, sort, n_bars, fixed_order, fixed_max,
 779                     steps_per_period, period_length, interpolate_period, label_bars, bar_size, 
 780                     period_label, period_fmt, period_summary_func, perpendicular_bar_func, 
 781                     figsize, cmap, title, title_size, bar_label_size, tick_label_size, 
 782                     shared_fontdict, scale, writer, fig, dpi, bar_kwargs, filter_column_colors)

--> 783 return bcr.make_animation()

File /srv/paws/lib/python3.10/site-packages/bar_chart_race/_make_chart.py:446, in _BarChartRace.make_animation(self)

444     else:
445         message = str(e)

--> 446 raise Exception(message)

447 finally:
448     plt.rcParams = self.orig_rcParams

Exception: You do not have ffmpeg installed on your machine. Download

ffmpeg from here: https://www.ffmpeg.org/download.html.

Matplotlib's original error message below:

unknown file extension: .mp4

You do not have ffmpeg installed on your machine. ffmpeg is not install successfully on your system. You can try the steps mentioned by me on how to install ffmpeg its little bit long 😅 but i think will work.

No I have already installed and it's giving same error again.

Mar 15 2024, 3:24 AM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Not able to generate video from the data frame? What might the reason be? As we have 7k+ columns and it's taking time can we generate a bar chart race video of only a few columns as an example?
And I read in the documentation that we should have 'ffmpeg' installed on our device as I am working on web paws Jupyter notebook and not locally do I also have to install 'ffmpeg'?

Download latest FFmpeg static build.

exist = !which ffmpeg
if not exist:

!curl https://johnvansickle.com/ffmpeg/releases/ffmpeg-release-amd64-static.tar.xz -o ffmpeg.tar.xz \
   && tar -xf ffmpeg.tar.xz && rm ffmpeg.tar.xz
ffmdir = !find . -iname ffmpeg-*-static
path = %env PATH
path = path + ':' + ffmdir[0]
%env PATH $path

!which ffmpeg
Add this code to your notebook , and you will be good to go.

Getting same error again.

Can you share the exact error, What are the errors you are getting Exactly?

KeyError Traceback (most recent call last)
File /srv/paws/lib/python3.10/site-packages/PIL/Image.py:2416, in Image.save(self, fp, format, **params)

2415 try:

-> 2416 format = EXTENSION[ext]

2417 except KeyError as e:

KeyError: '.mp4'

The above exception was the direct cause of the following exception:

ValueError Traceback (most recent call last)
File /srv/paws/lib/python3.10/site-packages/bar_chart_race/_make_chart.py:435, in _BarChartRace.make_animation(self)

434     else:

--> 435 ret_val = anim.save(self.filename, fps=self.fps, writer=self.writer)

436 except Exception as e:

File /srv/paws/lib/python3.10/site-packages/matplotlib/animation.py:1089, in Animation.save(self, filename, writer, fps, dpi, codec, bitrate, extra_args, metadata, extra_anim, savefig_kwargs, progress_callback)

1086 # canvas._is_saving = True makes the draw_event animation-starting
1087 # callback a no-op; canvas.manager = None prevents resizing the GUI
1088 # widget (both are likewise done in savefig()).

-> 1089 with writer.saving(self._fig, filename, dpi), \

1090      cbook._setattr_cm(self._fig.canvas, _is_saving=True, manager=None):
1091     for anim in all_anim:

File /usr/lib/python3.10/contextlib.py:142, in _GeneratorContextManager.exit(self, typ, value, traceback)

141 try:

--> 142 next(self.gen)

143 except StopIteration:

File /srv/paws/lib/python3.10/site-packages/matplotlib/animation.py:245, in AbstractMovieWriter.saving(self, fig, outfile, dpi, *args, **kwargs)

244 finally:

--> 245 self.finish()

File /srv/paws/lib/python3.10/site-packages/matplotlib/animation.py:515, in PillowWriter.finish(self)

514 def finish(self):

--> 515 self._frames[0].save(

516         self.outfile, save_all=True, append_images=self._frames[1:],
517         duration=int(1000 / self.fps), loop=0)

File /srv/paws/lib/python3.10/site-packages/PIL/Image.py:2419, in Image.save(self, fp, format, **params)

2418         msg = f"unknown file extension: {ext}"

-> 2419 raise ValueError(msg) from e

2421 if format.upper() not in SAVE:

ValueError: unknown file extension: .mp4

During handling of the above exception, another exception occurred:

Exception Traceback (most recent call last)
Cell In[8], line 11

 4     bcr.bar_chart_race(
 5         df=df,
 6         filename='AnalysisVideo.mp4',  
 7         title='Bar Chart Race',
 8         writer='matplotlib'
 9     )
10     return 'AnalysisVideo.mp4'

---> 11 video = dataframe_to_race_chart(first_20)

12 Video(video, embed=True)

Cell In[8], line 4, in dataframe_to_race_chart(df)

3 def dataframe_to_race_chart(df):

----> 4 bcr.bar_chart_race(

 5         df=df,
 6         filename='AnalysisVideo.mp4',  
 7         title='Bar Chart Race',
 8         writer='matplotlib'
 9     )
10     return 'AnalysisVideo.mp4'

File /srv/paws/lib/python3.10/site-packages/bar_chart_race/_make_chart.py:783, in bar_chart_race(df, filename, orientation, sort, n_bars, fixed_order, fixed_max, steps_per_period, period_length, interpolate_period, label_bars, bar_size, period_label, period_fmt, period_summary_func, perpendicular_bar_func, figsize, cmap, title, title_size, bar_label_size, tick_label_size, shared_fontdict, scale, writer, fig, dpi, bar_kwargs, filter_column_colors)

 461 '''
 462 Create an animated bar chart race using matplotlib. Data must be in 
 463 'wide' format where each row represents a single time period and each 
(...)
 776 These sizes are relative to plt.rcParams['font.size'].
 777 '''
 778 bcr = _BarChartRace(df, filename, orientation, sort, n_bars, fixed_order, fixed_max,
 779                     steps_per_period, period_length, interpolate_period, label_bars, bar_size, 
 780                     period_label, period_fmt, period_summary_func, perpendicular_bar_func, 
 781                     figsize, cmap, title, title_size, bar_label_size, tick_label_size, 
 782                     shared_fontdict, scale, writer, fig, dpi, bar_kwargs, filter_column_colors)

--> 783 return bcr.make_animation()

File /srv/paws/lib/python3.10/site-packages/bar_chart_race/_make_chart.py:446, in _BarChartRace.make_animation(self)

444     else:
445         message = str(e)

--> 446 raise Exception(message)

447 finally:
448     plt.rcParams = self.orig_rcParams

Exception: You do not have ffmpeg installed on your machine. Download

ffmpeg from here: https://www.ffmpeg.org/download.html.

Matplotlib's original error message below:

unknown file extension: .mp4
Mar 15 2024, 3:15 AM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Not able to generate video from the data frame? What might the reason be? As we have 7k+ columns and it's taking time can we generate a bar chart race video of only a few columns as an example?
And I read in the documentation that we should have 'ffmpeg' installed on our device as I am working on web paws Jupyter notebook and not locally do I also have to install 'ffmpeg'?

Mar 15 2024, 2:43 AM · Outreach-Programs-Projects, Outreachy (Round 28)

Mar 14 2024

Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Are you including all the 7519 columns in your video 😅?

Screenshot 2024-03-14 222908.png (435×1 px, 40 KB)

This is the dataframe structure that I have generated of the cumulative sum which is sent to the bar_chart_race function, please confirm me if this is the correct structure that i have generated. let me know if I have made any error

Thank you so much to all, It worked.

How should I proceed?

Hmm, if you're including 7519 columns, it will take time. For now, just add 5 rows and 5 columns, or 10 rows by 10 columns. I think I read in the bar chart documentation that the more rows and columns you have, the longer it takes to render.Since, it generates frame by frame something like that. Also, only play the video after your cell is done running.

Great 🥳

What should I do next? record this as a contribution or send PAWS link to @Ederporto

Mar 14 2024, 6:28 PM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Are you including all the 7519 columns in your video 😅?

Screenshot 2024-03-14 222908.png (435×1 px, 40 KB)

This is the dataframe structure that I have generated of the cumulative sum which is sent to the bar_chart_race function, please confirm me if this is the correct structure that i have generated. let me know if I have made any error

Thank you so much to all, It worked.

How should I proceed?

Hmm, if you're including 7519 columns, it will take time. For now, just add 5 rows and 5 columns, or 10 rows by 10 columns. I think I read in the bar chart documentation that the more rows and columns you have, the longer it takes to render.Since, it generates frame by frame something like that. Also, only play the video after your cell is done running.

Mar 14 2024, 6:22 PM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Are you including all the 7519 columns in your video 😅?

Screenshot 2024-03-14 222908.png (435×1 px, 40 KB)

This is the dataframe structure that I have generated of the cumulative sum which is sent to the bar_chart_race function, please confirm me if this is the correct structure that i have generated. let me know if I have made any error

How should I proceed?

Hmm, if you're including 7519 columns, it will take time. For now, just add 5 rows and 5 columns, or 10 rows by 10 columns. I think I read in the bar chart documentation that the more rows and columns you have, the longer it takes to render.Since, it generates frame by frame something like that. Also, only play the video after your cell is done running.

Mar 14 2024, 6:11 PM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Are you including all the 7519 columns in your video 😅?

Mar 14 2024, 5:29 PM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Hello everyone, I am also an Outreachy applicant for 2024.

Today, I discovered the message on Phabricator; however, I initially assumed that all discussions were taking place in the Zulip channel. Consequently, I didn't check the Phabricator comments section.

To keep it concise, I'd like to address how to make FFmpeg work on the PAWS Jupyter Notebook for the task "Create a tool for informative infographics from structured information from Wikimedia projects - Task A."

The reason FFmpeg isn't functioning on the PAWS Jupyter Notebook is that we need to download and add FFmpeg Static Builds from (https://johnvansickle.com/ffmpeg/) to the same folder where we have the code.

Here's a step-by-step guide (So, you don't have to go through the trouble of downloading from https://johnvansickle.com/ffmpeg/):

Note: Before you do the step mentioned in point (a), make sure all the steps, i.e., b, c, d, and e, are done first.

a) I've attached code that you can add to your Jupyter Notebook cell (Same notebook where you have your code to generate the bar chart race). Run this code to resolve the FFmpeg issue.

# Download a static FFmpeg build and add it to PATH.
%run 'util/load-ffmpeg.ipynb'
print('Done!')

b) Prior to running the code mentioned in point (a), add/upload the "util" folder to your PAWS. I've included the folder below.


(You, have to unzip it after downloading)

c) The purpose of the "util" folder is to automatically add the FFmpeg Static Build File (which is a folder) to your PAWS when you run the provided code mentioned in point (a).

d) Ensure that the filename in bcr.bar_chart_race() has a ".mp4" extension.

e) After completing these steps, you can run your respective code, which is the code for generating the bar chart race.

Note:

a) You might encounter a warning / Error (Which again doesn't appear when I run my code locally and only sometimes appears on my PAWS Jupyter Notebook), as shown in the attached screenshot. However, this is not an issue, as the video file will be generated in the PAWS folder after running your code. You can then download the bar chart race video and watch the video(as shown the screenshot below).

Code for ffmpeg.png (239×992 px, 48 KB)

mp 4.png (32×418 px, 2 KB)

b) If your code works correctly locally, it should generally (90%-99% of the time) work on the PAWS online Jupyter Notebook.

c) The warning or error screenshot I provided may or may not appear (Which happens to me only on PAWS), so be mindful of that.

d) Ensure that the filename in bcr.bar_chart_race() has a ".mp4" extension, as the ".html" filename won't appear on PAWS. But, Again, the .html works locally.

e) Why the .html doesn't appear on PAWS, I have no idea about it, and I have still not looked for a solution related to .html since the .mp4 file is generated on PAWS without any issue.

f) All the things I have mentioned on how to solve the issue related to FFmpeg were taken from various documentation like Matplotlib 3.8.3 documentation and, of course, my favorite stack overflow (So, thanks to the Devs on Stack Overflow).

Thank you so much for this

Mar 14 2024, 4:21 PM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Hi, I found some good examples of project timelines from past Wikimedia Outreachy interns, which may help. You can take a look at the links below:

https://phabricator.wikimedia.org/T161670
https://phabricator.wikimedia.org/T177507
https://phabricator.wikimedia.org/T333790

Thankyou @Abishek_Das , But I am looking forward to timeline of the work we plan to accomplish on the project. Outlines of the task we will be doing .

Mar 14 2024, 4:20 PM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Hi, I found some good examples of project timelines from past Wikimedia Outreachy interns, which may help. You can take a look at the links below:

Mar 14 2024, 12:59 PM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Hello @Ederporto, for the project proposal, do we need to create one in Wikimedia Phabricator since we will also be submitting one on the Outreachy website?

You don't need to create anything on Phabricator, no.

Mar 14 2024, 12:31 PM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

@Mitumoni_kalita is it working now?

Mar 14 2024, 10:13 AM · Outreach-Programs-Projects, Outreachy (Round 28)

Mar 8 2024

Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

you're welcome @Anachimuco , @DevJames1 , @GonzaGertrude and @Udonels 😁

Mar 8 2024, 5:57 PM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Hello @Ederporto, for the project proposal, do we need to create one in Wikimedia Phabricator since we will also be submitting one on the Outreachy website?

Mar 8 2024, 7:21 AM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Hello @Ederporto please how do i get my submission reviewed

Mar 8 2024, 7:09 AM · Outreach-Programs-Projects, Outreachy (Round 28)
Abishek_Das added a comment to T358412: Create tool for informative infographics from structured information from Wikimedia projects - Task A.

Hello everyone, I am also an Outreachy applicant for 2024.

Mar 8 2024, 6:54 AM · Outreach-Programs-Projects, Outreachy (Round 28)