*My takeaways:* *1. Line chart* 2:11 1.1 Potting a line chart using *plot* and *show* 3:27 1.2 Adding a title using *title* 5:21 1.3 Adding labels to x and y axes using *xlabel* and *ylabel* 6:24 1.4 Changing the font of title and labels. Resizing title and labels using *fontdict* 7:02 1.4 Editing tick marks using *xticks* and *yticks* 8:50 1.5 Adding a legend using *legend* 11:04 1.6 Changing line style by passing parameters to *plot* 12:14 1.7 Adding a 2nd line 17:33 1.8 Resizing a chart using *figure(figsize(), dpi=)* 21:55 1.9 Saving a chart using *savefig* 24:34 *2. Bar chart* 26:48 2.1 Potting a bar chart using *bar* and *show* 27:40. The size of a bar chart can be changed using *figure(figsize(), dpi=)* as well 2.2 Setting bar patterns using *set_hatch* 28:50 *3. Real world Matplotlib examples* 31:10 3.1 Example 1 - line chart 34:36. Input .csv data file using *pandas pd.read_csv()* 3.2 Example 2 - histogram 52:35. Potting a histogram using *hist* and *show* . Setting bins. 3.3 Example 3 - pie chart 1:00:08. Potting a pie chart using *pie* and *show* . Looking for a condition in the data using *pandas loc* . Adding labels for pie chart using a list. Changing colour. Show percentage using *autopct* 3.4 Example 4 - another pie chart 1:07:20. Converting string data to integer data using *strip* . Changing the pie chart style using *style.use* . Using *pctdistance* to define the positions of percentage. Using *explode* to split the pie chart. 3.5 Example 5 - box plot 1:18:33. Potting a box plot using *boxplot* and *show* . Using *set* to set colour and linewidth
Much better than lots of those paid courses out there! Lean, clean and straightforward! Thanks a lot and please please record more videos on other data Science and python related topics in the same manner you did this course!
i cant believe this is free of charge......thank you so much!!!!!!!!!!!!!!!!! i have also watched your numpy and pandas tutorials and enjoyed them very much!!! thank you for doing this, you are making such a difference.
plt.figure(figsize = (12,7)) for c in gas.columns[1:]: plt.plot(gas['Year'] , gas[c] , label=c , marker='.')
plt.legend() plt.show() This worked for me while plotting the line graph for all countries! (Note : Include the import statements and read the csv first, haven't included that here.) Thank you for the tutorial! This channel is basically where I have started picking up things.
I can easily tell that Keith is very keen on FUT and probably has like the best Ultimate team in FIFA 21 ahahahha. Really enjoyed your course, very coherent and simple. Thank you!
I usually dont comment but today your course has made me comment, Really it was a very good course learned a lot. KEEP IT UP DON'T STOP!!!!!!!!!!!!!!!!!!!!!!!!!!
For the people who are following this in 2024, and not getting the country names automatically after using for loop just add label=country in plot arguments like this: for country in gas: if country != 'Year': plt.plot(gas.Year, gas[country], label=country)
Could you go through the iplot function from matplotlib, too (it’s basically a plotting function that makes interactive plots) and go through candle stick plots? (iplot plots 3d as well as 2d, so please go over iplot 3d as well iplot 2d if you can)
Hi! I've been trying to follow your steps but I got an error, I wonder if it is due to the Phyton or matplotlib version: countries_to_analyze=['Mexico','USA','Canada','Japan'] for country in gas: if country in countries_to_analyze: plt.plot(gas.Year,gas[country], marker='.',label=country) plt.xticks(gas.Year[::3]) plt.legend() plt.show() TypeError Traceback (most recent call last) Cell In[131], line 6 3 if country in countries_to_analyze: 4 plt.plot(gas.Year,gas[country], marker='.',label=country) ----> 6 plt.xticks(gas.Year[::3]) 7 plt.legend() 8 plt.show() TypeError: 'list' object is not callable Any help would be so appreciated, take care, Jesus
At 45:40, with the for loop, why does it automatically iterate over the headings and not the values under those headings. Is it because pandas saves the CSV file as a dictionary-like structure with the headings as keys. And these are automatically iterated over in a for loop? At 1:12:00, how do you not get an error when the condition checks if the entry is less than an integer, when not all of the values under the heading weight will have been converted to integers in the previous code (ie the code "else x" doesn't necessarily give an integer in the list comprehension). At 1:22:10, why aren't the arguments for the boxplot barcelona[1] and madrid[1] rather than barcelona and madrid. Since barcelona and madrid seem to be 2D arrays and not 1D arrays.
Hi I asked a similar question. I think it's because the for loop iterates over the headings (the countries) of the CSV file (so countries in the code "for countries in" will refer to these headings). It iterates over these headings (and not over the rows of the table) since the headings are the keys of the dictionary-like structure gas. That's my understanding.
Hi, sorry to be a pain, but when I try to import Matplotlib, it gives me an error, DLL load failed while importing ft2font Can someone pls help me. Edit: is there any fix?
At 8:30, I did the same thing on my own. My Jupyter notebook says findfont: Font family ['Comic Sans MS'] not found. Falling back to DejaVu Sans. findfont: Font family ['Arial'] not found. Falling back to DejaVu Sans. At 39:48, when I didn't write label, legend didn't work. I am using the current version of matplotlib, which is 3.4.2. But I don't use Anaconda. Could it make such differences?
You can install the fonts on your system and your notebook will pick them up. Ananconda does not actually install fonts, but rather uses the fonts available system-wide.
If you were to read a binary file containing sample points, file = open("sample.bin", "rb") How could you import the data into an array, for plotting? For example, assuming you prompt the user for filename, the number of bytes per data, and the endiness.. i.e. the first byte is the MSB or LSB... how would you load/plot the array, data value on the y, and sample number on the x?
I thought the bar trick with around 30:00 is really cool. The One for the for loop. However, I `m not sure what the "pop" functionality is . Does anyone knows?
pop(0) chooses the first element in the list and removes it from the list. So the next first element after '/' is removed will be 'o'. If this explanation is unclear, do let me know.
I want to read the fifa_data.csv with pd. read....... But it shows me errors like '' no such file or directory: 'fifa_data.csv'. I downloaded pandas. I don't know what to do. Please somebody could help me?
46:30 for country in gas: if country != 'Year': plt.plot(gas.Year, gas[country], marker ='.') how did you manage to put labels for each country? Ps. throws error that says 'No handles with labels found to put in legend.'
Peace to all, at the moment I am making a web-based item lending form, which I want to ask how is it so that when inputing time is not conflicting, for example: If person A enters the form "will" borrow goods from 02:00 - 03:00 , then person B cannot input the loan form with the same item between the hours of 2:00 to 3:00. how to avoid conflicts in the database.
![Who Wrote a Short Story That Seriously Disturbed a Teacher? | Dirty Laundry x Smosh [Full Episode]](http://i.ytimg.com/vi/bvHAy_rKoEI/mqdefault.jpg)
"Let's just jump into it" = immediate upvote
Philly D :)
Why you called it upvote man 😭😭😭 now I think your a neck beard
*My takeaways:*
*1. Line chart* 2:11
1.1 Potting a line chart using *plot* and *show* 3:27
1.2 Adding a title using *title* 5:21
1.3 Adding labels to x and y axes using *xlabel* and *ylabel* 6:24
1.4 Changing the font of title and labels. Resizing title and labels using *fontdict* 7:02
1.4 Editing tick marks using *xticks* and *yticks* 8:50
1.5 Adding a legend using *legend* 11:04
1.6 Changing line style by passing parameters to *plot* 12:14
1.7 Adding a 2nd line 17:33
1.8 Resizing a chart using *figure(figsize(), dpi=)* 21:55
1.9 Saving a chart using *savefig* 24:34
*2. Bar chart* 26:48
2.1 Potting a bar chart using *bar* and *show* 27:40. The size of a bar chart can be changed using *figure(figsize(), dpi=)* as well
2.2 Setting bar patterns using *set_hatch* 28:50
*3. Real world Matplotlib examples* 31:10
3.1 Example 1 - line chart 34:36. Input .csv data file using *pandas pd.read_csv()*
3.2 Example 2 - histogram 52:35. Potting a histogram using *hist* and *show* . Setting bins.
3.3 Example 3 - pie chart 1:00:08. Potting a pie chart using *pie* and *show* . Looking for a condition in the data using *pandas loc* . Adding labels for pie chart using a list. Changing colour. Show percentage using *autopct*
3.4 Example 4 - another pie chart 1:07:20. Converting string data to integer data using *strip* . Changing the pie chart style using *style.use* . Using *pctdistance* to define the positions of percentage. Using *explode* to split the pie chart.
3.5 Example 5 - box plot 1:18:33. Potting a box plot using *boxplot* and *show* . Using *set* to set colour and linewidth
Lei Xun Thanks for sharing
Thanks
@@aarushgoyal You are welcome
Super helpful !! Thank you for this :)
@@awesomekalyana15 You are welcome!
The best thing about this tutorial is that he keeps the mistakes made.
Much better than lots of those paid courses out there! Lean, clean and straightforward! Thanks a lot and please please record more videos on other data Science and python related topics in the same manner you did this course!
That guy is an MIT graduate hahaha
real talk
i cant believe this is free of charge......thank you so much!!!!!!!!!!!!!!!!! i have also watched your numpy and pandas tutorials and enjoyed them very much!!! thank you for doing this, you are making such a difference.
I think keeping documentation window open was such a great advice. My struggles with matplotlib have gone down once I Put that tip in practice.
plt.figure(figsize = (12,7))
for c in gas.columns[1:]:
plt.plot(gas['Year'] , gas[c] , label=c , marker='.')
plt.legend()
plt.show()
This worked for me while plotting the line graph for all countries!
(Note : Include the import statements and read the csv first, haven't included that here.)
Thank you for the tutorial! This channel is basically where I have started picking up things.
I can easily tell that Keith is very keen on FUT and probably has like the best Ultimate team in FIFA 21 ahahahha. Really enjoyed your course, very coherent and simple. Thank you!
I usually dont comment but today your course has made me comment, Really it was a very good course learned a lot. KEEP IT UP DON'T STOP!!!!!!!!!!!!!!!!!!!!!!!!!!
Python contour animation
ruclips.net/video/ZFQwwxyKG_U/видео.html
Wow ! It's a superb course ! I learnt tons of things ! Also, at 59:00, you can use log=True option to make y log scale
You're doing great ! Carry on !
Thank you, Highly appreciate... most important thing is, this is free for every one.. this course much better than paid courses...
Okay, it took me a lot of time to complete numpy, pandas and matplotlib from you keith, but I think it was worth it. Although, I remember NULL.
Great teacher you are man. I have watched all your data visualization videos they all are amazing...
Very quick, clear and concise highly recommended
8:22 🤪
Anyways, thanks for making the tutorial. It's a very helpful tutorial for us 😁
lol
t and k are so far apart in the alphabet 🤨
Thank you very much for your wonderful teaching and real-world example. Nice course for learning.
40:00 why this code worked is hilarious
at min 4:34 you can just write plt.plot(x,y); instead of plt.show() ; is enough, thanks for tutorial
Thank you so much for your great tutorials. Can you do a tutorial on tableau please?
This was very useful, thank you!
A very beautiful representation of Matplotlib
You did a really good job on this. I like how you motivate what you're showing. Great stuff.
Great introductory course to Matplotlib.
thanks for amazing explanation. sir please make a video on Scipy.
exactly what I was about to start. Thank you.
For the people who are following this in 2024, and not getting the country names automatically after using for loop
just add label=country in plot arguments like this:
for country in gas:
if country != 'Year':
plt.plot(gas.Year, gas[country], label=country)
Galli is such a dope dude. thanks.
More MatPlotLib courses!
Thanks a lot Keith, very crisp explanation!
4:11 alternatively you can also use plt.plot(); # use ; to not make to show that matplotlib object creation at certain memory location.
brilliant tutorial
40:15 'How it worked' 🤣🤣. Sometimes we coders don't know what actually happened but that finally works
yeah bro even i got error for that🤣
i wish Coursera courses were this short and brief.
Could you go through the iplot function from matplotlib, too (it’s basically a plotting function that makes interactive plots) and go through candle stick plots? (iplot plots 3d as well as 2d, so please go over iplot 3d as well iplot 2d if you can)
Thank you so much for your great tutorials.
Very well explained! Thank you very much! 💛
8:20 What was that bro?
😍😍😍 will you make a video for pandas and numpy too? 👀
Try this one: ruclips.net/video/r-uOLxNrNk8/видео.html
Thank you Keith :)
Great tutorial
Hi! I've been trying to follow your steps but I got an error, I wonder if it is due to the Phyton or matplotlib version:
countries_to_analyze=['Mexico','USA','Canada','Japan']
for country in gas:
if country in countries_to_analyze:
plt.plot(gas.Year,gas[country], marker='.',label=country)
plt.xticks(gas.Year[::3])
plt.legend()
plt.show()
TypeError Traceback (most recent call last)
Cell In[131], line 6
3 if country in countries_to_analyze:
4 plt.plot(gas.Year,gas[country], marker='.',label=country)
----> 6 plt.xticks(gas.Year[::3])
7 plt.legend()
8 plt.show()
TypeError: 'list' object is not callable
Any help would be so appreciated, take care, Jesus
I learnt pandas with this guy #respect
excellent as always.
Great video - nice one. Thanks.
i really like your course keep it up sir
Thanks Keith
At 45:40, with the for loop, why does it automatically iterate over the headings and not the values under those headings. Is it because pandas saves the CSV file as a dictionary-like structure with the headings as keys. And these are automatically iterated over in a for loop?
At 1:12:00, how do you not get an error when the condition checks if the entry is less than an integer, when not all of the values under the heading weight will have been converted to integers in the previous code (ie the code "else x" doesn't necessarily give an integer in the list comprehension).
At 1:22:10, why aren't the arguments for the boxplot barcelona[1] and madrid[1] rather than barcelona and madrid. Since barcelona and madrid seem to be 2D arrays and not 1D arrays.
Awesome!!! TQVM!!
thank you so much man .much appreciated
Yoooooo..... waiting for such a course
I was floored by that yel joke. Hahaha
thanks man, very throroughly !
quick question, do you need to know numpy and pandas to learn matplotlib?
1:00:00 How do I use the bar_label function to this histogram? I always the error "AttributeError: 'tuple' object has no attribute 'patches'"
this is gold !
thanks for this beautiful video love from india
Nice explanation. Can you please tell me what that for loop is doing and how it will identify the country in gas?
Hi I asked a similar question. I think it's because the for loop iterates over the headings (the countries) of the CSV file (so countries in the code "for countries in" will refer to these headings). It iterates over these headings (and not over the rows of the table) since the headings are the keys of the dictionary-like structure gas. That's my understanding.
Nice one and keep it up!
Hi, sorry to be a pain, but when I try to import Matplotlib, it gives me an error, DLL load failed while importing ft2font
Can someone pls help me.
Edit: is there any fix?
pip install matplotlib or download anaconda that way you don't have install matplotlib.
good stuff
this guy very good
Thanks a lot!
Thanks a lot
Amazing Thanks a lot
Nice!
At 8:30, I did the same thing on my own. My Jupyter notebook says
findfont: Font family ['Comic Sans MS'] not found. Falling back to DejaVu Sans.
findfont: Font family ['Arial'] not found. Falling back to DejaVu Sans.
At 39:48, when I didn't write label, legend didn't work.
I am using the current version of matplotlib, which is 3.4.2. But I don't use Anaconda. Could it make such differences?
You can install the fonts on your system and your notebook will pick them up.
Ananconda does not actually install fonts, but rather uses the fonts available system-wide.
@@pewolo Thanks! :)
If you were to read a binary file containing sample points,
file = open("sample.bin", "rb")
How could you import the data into an array, for plotting? For example, assuming you prompt the user for filename, the number of bytes per data, and the endiness.. i.e. the first byte is the MSB or LSB... how would you load/plot the array, data value on the y, and sample number on the x?
Can you kindly post a link to your Pandas crash course video? Thank you.
So Good
Thank you
Love your videos they help me a lot.
great vid
i was waiting for this video ..... anyway can i use Pycharm ?
Well it's really late but if you still dont know yes
no if using for datascience purpose
Is matplotlib an engineering programm cause am studying electrical engineering though ......?????
I have a question please ... Do I need to learn numpy or pandas before I can start freelancing with matplotlib ?
Yes, They are inter-related
My G!!!
Thanks pal
Thanks🤩
I thought the bar trick with around 30:00 is really cool. The One for the for loop. However, I `m not sure what the "pop" functionality is . Does anyone knows?
pop(0) chooses the first element in the list and removes it from the list. So the next first element after '/' is removed will be 'o'. If this explanation is unclear, do let me know.
I want to read the fifa_data.csv with pd. read....... But it shows me errors like '' no such file or directory: 'fifa_data.csv'. I downloaded pandas.
I don't know what to do. Please somebody could help me?
I've found a tutorial on RUclips for the problem.
In the first example 46:45 i am not able to get the legend when for loop is run. Can someone please help me with that
please share your panadas video link also ,i am not able to find it
46:30
for country in gas:
if country != 'Year':
plt.plot(gas.Year, gas[country], marker ='.')
how did you manage to put labels for each country?
Ps. throws error that says 'No handles with labels found to put in legend.'
plt.plot(gas.Year, gas[country], label=country, marker=".")
then outside the loop: plt.legend()
@@nikhiljagtap1669 thank you
Nice
Could you have iterated through the countries using gas.columns[1:] ?
Yes Sir
Peace to all, at the moment I am making a web-based item lending form, which I want to ask how is it so that when inputing time is not conflicting, for example: If person A enters the form "will" borrow goods from 02:00 - 03:00 , then person B cannot input the loan form with the same item between the hours of 2:00 to 3:00. how to avoid conflicts in the database.
26:30, let one rip eh?
Please make a video on matplotlib animations...
How about a 4D plot with matplotlib?
40:29 matplotlib showed no handles with labels found to put in legend? can anyone tell me why it is not working
just put label='country_name' argument in every plot function then use legend function
How to comment three lines together? Check 30:16
can someone recommend to me a good video for 3D and higher dimensional graphs
How did you add # to many lines at the same time? (newbie here)
Select lines and ctrl + /
@@mlmigdalsky4316 thanks a lot sir!
Can anyone share the official documentation link here
Phyton trorial about data sciences on data backup
💕💕💕💕💕
33:05 more more
0:09:57 ohhhhh my goshhhh!!!!!! XD
is this enough
I just found the tutor is who interview Kylie hahHa😂