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Video tags

cac
.0
big
data
c23658
matplotlib
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  • ruRussian
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00:00:00
Hello people, good morning, how
00:00:03
are you? Good
00:00:06
morning. Hello, good morning,
00:00:11
everything is fine. Everything is in
00:00:14
order. Yes,
00:00:16
yes. Well, we had finished with Harry
00:00:20
Potter and the whole
00:00:25
story is at least what was
00:00:29
planned within the depth. Yes,
00:00:35
wonderful. Well, let's accommodate
00:00:37
the a little here.
00:00:40
kiosk commission
00:00:44
58
00:00:47
perfect
00:00:49
and I'm going to give you a
00:00:57
link And you are going to download
00:01:02
all the
00:01:06
projects from there I hope that this
00:01:08
quarter this is resolved because it is
00:01:11
a
00:01:12
nuisance if I pass through the chat, does anyone
00:01:16
have this link on hand for those who
00:01:18
arrive late
00:01:20
Please, I could put it on the form,
00:01:23
let's see where it is, panilla panilla, there
00:01:28
it is,
00:01:44
passive notebooks, remember to download if there is something
00:01:48
in
00:01:52
images, if there is something in
00:01:54
data, and I have to do the same, plom,
00:01:58
well,
00:02:00
this is for not paying, you see,
00:02:03
people, the free thing is very expensive.
00:02:10
I'm going to download
00:02:12
[Music]
00:02:16
everything, it would be ideal to be able to download the entire
00:02:18
project, no, but
00:02:21
well, it's part of the
00:02:28
nuisance,
00:02:35
the duplicate doesn't work for
00:02:38
that, the duplicate when you don't have any
00:02:42
projects in your notebook, I have three
00:02:46
projects, so I have to download and upload
00:02:49
everything like him. same
00:02:50
[Music]
00:02:58
notebook remember to have eliminated
00:03:01
those that come as samples yes this
00:03:04
was designed to be able to
00:03:07
have just five projects but now they
00:03:11
sounded like
00:03:18
me I'm going to export and see what else
00:03:28
there is
00:03:36
good to see how
00:03:47
this turned out yes there
00:03:54
we finished this one is called va
00:03:57
six go Armando
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there
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6
00:04:40
a
00:04:44
se Why didn't you do this before you won't tell me
00:04:49
Well it happens and it happens that if
00:04:52
you get into the
00:04:53
discord you will be able to see until what time
00:04:56
I am working so it seems like
00:04:58
I need a little sleep
00:05:02
you see
00:05:05
four four object oriented method
00:05:09
This was
00:05:14
fun
00:05:22
Hey then when it comes to sleeping
00:05:25
Med I say I'm always going to break the bottom of the
00:05:27
pot
00:05:32
So imagine what
00:05:34
all my
00:05:36
vacation activities are going to be if
00:05:39
I have them sleep as much as I
00:05:51
can they're already rotten neflix
00:05:57
not even
00:06:04
and the
00:06:08
images and it
00:06:17
would be good while I
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gossip
00:06:24
that we are going to talk about mapl, a library
00:06:28
to visualize,
00:06:35
very important when
00:06:37
we are making a
00:06:39
graph to be very clear about what
00:06:42
we want to
00:06:44
show because we saw in some examples
00:06:47
that not always draw Everything was good,
00:06:50
remember, this is an example where we put a
00:06:53
lot of categorical variables and in the
00:06:56
end the picture was not so clear
00:06:58
that when we put a Limit on that
00:07:02
number of variables that we
00:07:05
were diagramming, we didn't Why Because
00:07:09
we had an
00:07:11
objective and That's the key is to be very
00:07:15
clear about what we want Show and
00:07:18
make a graph for each question that
00:07:23
arises let me select from many so I
00:07:30
don't
00:07:33
rot Mental Health level not below
00:07:38
zero Well they already have their
00:07:42
little things they already put
00:07:52
everything together poor Netflix now it's going to die
00:07:55
of hunger because of us they are going to be a
00:07:57
little less millionaires
00:08:01
well
00:08:03
then
00:08:05
recapitulating we can answer
00:08:08
questions with
00:08:11
visualizations but not all some
00:08:13
answers are going to come from the
00:08:18
analytics so in addition we have to
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have
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the good judgment of knowing if we are going to
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solve a problem problem by analysis or by
00:08:28
visualization
00:08:31
Yes there is an ap
00:08:34
point d the apteo is more or less
00:08:38
explained this part I am going to put the
00:08:42
name here Because if it is not left as
00:08:46
lost
00:08:51
a There
00:08:54
it is as always the drawings do not
00:08:56
appear there was the mpl logo
00:09:01
and Here we have three of the libraries that are
00:09:04
most commonly used map sibon Sion We already
00:09:07
saw that it is based on
00:09:09
map and here is an apt that I don't know if this
00:09:13
still exists. You saw what the links are like,
00:09:16
not that today they are there tomorrow the
00:09:19
most beautiful visualization libraries are not there.
00:09:22
Look how pretty Here it is
00:09:25
with Hehehe plot B what
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pl How beautiful
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pl
00:09:36
alter I don't know who was doing
00:09:45
geographical things later
00:09:47
for more detail what happened to my
00:09:56
graphs be this or I reload it or what the hell
00:10:00
I Well then I'll look what happened with
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the
00:10:08
drawings They don't load
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a drawing Well it doesn't matter Maple
00:10:16
Olive logo Maple Olive documentation
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chit an example of
00:10:24
chit chit Look how pretty chit chit
00:10:34
mait then they go and steal from there and the
00:10:38
documentation is the
00:10:46
official
00:10:50
good What does
00:10:53
this do it emulates matlab commands does anyone
00:10:57
know
00:10:58
matlab
00:11:04
No no yes for
00:11:09
numerical calculation, it is a software for
00:11:12
engineers and scientists,
00:11:15
yes, it is a development environment that is
00:11:20
a science-oriented language,
00:11:24
let's say it is a language for
00:11:29
technical calculations,
00:11:31
well, use a p, it is written in python,
00:11:34
it is easy to use and can be
00:11:41
customize let's see what
00:11:44
we do we're going to
00:11:49
import
00:11:55
import
00:11:57
plot
00:12:00
asete and we're going to need nump
00:12:09
too and here where I'm going to burn your
00:12:14
head here here I want you to
00:12:23
tell me what's
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there
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first let me
00:12:34
think about this variable in x what have I
00:12:38
saved in
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x Lin method
00:12:54
space a timeline
00:13:00
cós elje
00:13:21
I take
00:13:22
that Range -55 and I look for 10 values ​​that
00:13:26
are the same distance from each other
00:13:29
Yes then they have not studied
00:13:33
anything
00:13:34
we create a series of 10 data x
00:13:43
spaced x
00:13:47
spaced between -5 and 5
00:13:53
yes study children
00:13:56
study don't be me let's see what What does it
00:14:00
give us?
00:14:05
This is good and it's going to be the squares of
00:14:24
calculus
00:14:27
we are also going to have to study
00:14:29
Google
00:14:33
sheets again But even in life the Tecnológico
00:14:36
knows that you have to study all the time
00:14:39
luckily no yes no very
00:14:42
abulo well here are my 1 2 3 4 5 6 7
00:14:48
8 9 10 data yes I do the subtraction of this
00:14:51
with this, it will give me the same as the
00:14:53
subtraction of this and this. That means
00:14:55
that they are spaced x's and here they are all
00:14:57
squared
00:14:59
very well. Let's draw
00:15:03
this x and if one is the square of the other,
00:15:07
the Graph It's going to be A little smile because
00:15:10
it's a quadratic
00:15:12
well
00:15:15
ent We're going to use the
00:15:23
plot method to draw the variables
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only
00:16:04
here it generates an output
00:16:10
yes this is from the
00:16:15
python interpreter that comes in this environment if I
00:16:19
am programming in visual studio code
00:16:22
or one of those
00:16:24
ides this is not going to give me anything a
00:16:27
T V error if I want to know what is
00:16:31
inside of
00:16:59
having to
00:17:01
use show to trigger the Graph Yes it
00:17:06
would be like the print that I have to put
00:17:08
but for
00:17:10
graphs and that will eliminate as a
00:17:14
side effect the output line is
00:17:20
cleaner So when I am working
00:17:23
in visual Studio code it is mandatory
00:17:27
for me to draw I have to put this
00:17:30
line yes So
00:17:33
it is
00:17:36
mandatory to draw in
00:17:42
environments
00:17:46
this
00:17:49
etcetera
00:17:51
Yes and
00:17:57
this one
00:18:03
about
00:18:09
interpreter Also this one
00:18:13
eliminates the
00:18:17
output line that's what it's called line
00:18:22
good easy line so far
00:18:27
no
00:18:28
good here I can't see the colors so
00:18:31
I come here to look for the
00:18:33
drawings Face
00:18:37
colors you can't see why you can't see if it's
00:18:41
there Oh dear God Well I'm going to look for
00:18:45
the original that I gave
00:18:47
you and it should
00:18:51
be good there After I look at what happened
00:18:54
base
00:18:56
colors I can invoke them with these
00:19:00
little letters they are The
00:19:01
basic ones, yes, the
00:19:04
quickest ones, then we have the tabl
00:19:08
palette, I don't know why, with what need,
00:19:12
and then the CSS colors with all their
00:19:15
names, I can choose any of these
00:19:17
methods, also the hexadecimal one. But
00:19:20
why go there, isn't it
00:19:23
horrible? Well,
00:19:25
then I'm going to run this. a little
00:19:28
like this I become a little less
00:19:31
crazy, let's see, stand there, don't get in my way, please,
00:19:37
thank you, and we're going to
00:19:41
change the color of
00:19:43
this. Well, I'm very calm. No,
00:19:47
despite all the desire to kill that
00:19:52
this gives me, we're going to make a plot of
00:20:49
I put
00:20:52
in the previous line
00:20:59
it would move
00:21:00
two ar
00:21:03
up that my smile went up two
00:21:06
spaces
00:21:07
this one is going to make me in Violet and
00:21:10
I am now using the Tab
00:21:14
Violeta
00:21:19
[Music]
00:21:21
Violet now we are going to use the colors
00:21:23
of
00:21:27
css
00:21:29
plot
00:21:31
x y +
00:21:44
5 why I like this color so much And it's
00:21:47
so difficult to
00:21:51
write that one and since I told you the
00:21:54
hexadecimal I'm going to
00:21:56
put it per esp te
00:22:00
show is at the end I shouldn't forget
00:22:05
esp
00:22:08
plot x y +
00:22:13
7 and let's see one that I
00:22:20
remember
00:22:23
green That's it easy That one is green
00:22:31
and since I sent a single
00:22:35
Show it will trigger all the graphs
00:22:38
in the
00:22:43
same one if I wanted them separated
00:22:45
I would have to put a show between them
00:22:56
yes
00:22:59
But how
00:23:05
nice let's see what the markers are
00:23:09
eh Sorry for a question
00:23:13
resin How did you get the space rand to shoot at you
00:23:18
because I
00:23:21
always have to command the
00:23:25
Notebook to run and I grabbed the little button there yes
00:23:29
to me no it is not enabling it there may
00:23:32
be
00:23:33
something there may be something going wrong
00:23:37
Yes they are changing the interface they are
00:23:39
changing things that's why it's hard it
00:23:43
crashes but it happens every quarter
00:23:45
and it's going to happen forever forever it's going to
00:23:48
happen
00:23:49
know the other day my
00:23:52
spreadsheet crashed because they were
00:23:54
changing Google sheets sorry Darío
00:23:58
it could be because you're doing it on
00:24:00
the Regina and not about a copy
00:24:01
too eh No no I'm not I'm in a
00:24:05
copy
00:24:06
this one within my user but it doesn't
00:24:10
enable the ran of each of the
00:24:12
spaces eh if he if he were in my
00:24:17
little thing I wouldn't be able to write directly or I
00:24:20
shouldn't be able to write as is nothing
00:24:24
eh It shouldn't be an issue of no
00:24:30
good the markers the
00:24:32
markers are the little dots if where
00:24:36
a piece of data appears it makes a little dot I
00:24:39
have 10 pieces of data it appears 10 little dots and
00:24:42
I can tell you the shape I want it to
00:24:46
have
00:24:49
with these
00:24:52
characters surely There will be
00:24:55
more if you are not satisfied, pass these on, go and
00:24:59
look and see if there is another image out there
00:25:01
that I need.
00:25:04
Ah, not ready. So I can
00:25:07
get this out of my head. Thank goodness I didn't
00:25:09
close it if I wasn't going to be
00:25:11
looking for it. well the markers add
00:25:19
markers this
00:25:23
same thing I take it below it
00:25:30
tells me I can include the marker with the
00:25:34
color if I use base colors base color were
00:25:37
These are the simplest So I
00:25:40
'm going to put the marker
00:25:45
there you see inside it
00:25:48
of the same
00:25:51
quote Now when I am not using the
00:25:55
B the base markers the base Colors I have
00:25:58
to
00:25:59
specify
00:26:01
marker
00:26:03
equal
00:26:08
p
00:26:11
marker
00:26:13
equal
00:26:19
4
00:26:23
marker ig
00:26:26
s
00:26:30
s
00:26:33
Now when I
00:26:37
put the marker within
00:26:40
the same
00:26:42
base color it has a secondary effect that
00:26:46
you can now tell
00:26:51
me replace the line with the
00:26:55
clear marker the line disappears s
00:26:59
if I
00:27:02
want only the
00:27:05
points to appear That is the way
00:27:11
yes And it says if I also want the line
00:27:14
I put
00:27:21
a line
00:27:26
yes
00:27:30
So let's do it like this
00:27:37
so both of them have
00:27:54
we can also customize the
00:27:57
style of
00:28:11
lines here the same thing happens as you will see
00:28:15
I can add the line style if
00:28:18
I am using the base color here I have already
00:28:21
spoiled this part for you yes
00:28:24
I add the solid line style along with the color and the
00:28:27
dot style s But that is only used
00:28:33
base when we are not going to
00:28:38
use l
00:28:56
Style
00:28:58
and L
00:29:16
Style Well enough
00:29:21
of these lines we do not make another type
00:29:25
of graph and
00:29:32
histograms we are going to
00:29:36
histogram
00:29:43
and here I am going to
00:29:46
need to put the
00:29:49
color to tell it like this for example not
00:29:56
using
00:29:58
the css Let's see if it
00:30:00
works per
00:30:02
show I'm always going to put the hat on someone
00:30:06
who draws me so that they can get used to it.
00:30:09
Well, why do I have more
00:30:12
data density
00:30:17
here?
00:30:22
Mystery: What's fatter?
00:30:39
Come on,
00:30:41
kid, because there are more values, the
00:30:43
positive ones and the negative ones, in that
00:30:47
range between C and 5 how much
00:30:56
is there between C and 5 I have 1 2 3
00:31:01
4 and then I have two Yes then
00:31:07
Here I have much more
00:31:10
data good How to look for the options
00:31:13
for each graph in the
00:31:17
documentation good for example do
00:31:20
you remember our friend the scatter
00:31:22
plot that made
00:31:26
dots
00:31:29
well go to the map plot
00:31:31
Live documentation and look for p plot scatter remember
00:31:35
that we are in the matplot library the
00:31:38
p plot scatter package and let's see what we can
00:31:41
do with the scatter
00:31:43
plot the variables that we are going to
00:31:48
draw the
00:31:52
marker color of the marker if you want
00:31:56
marker well and look here at everything that can be
00:32:01
done Yes, when you use a type of graph,
00:32:04
come here look at everything you may
00:32:07
need, you will have the name
00:32:10
of the attribute that you are going to
00:32:13
modify and look at the
00:32:18
format, you understand why I insist
00:32:21
that you use Although you can use other
00:32:23
names why I insist that you
00:32:25
always use the same generic names because
00:32:28
when I say quarks you
00:32:30
automatically already relate to it and
00:32:32
know what it is but if you
00:32:34
get used to calling it
00:32:36
vegetables when you get to it you won't even
00:32:39
remember what I was
00:32:40
talking to you so use Ar and quarks
00:32:44
always don't change the
00:32:46
name well Come on then I'm
00:32:51
going to put myself here The
00:32:54
example example
00:33:00
scatter
00:33:03
plot is
00:33:10
looking for let's make
00:33:13
one he's going to make me the same little drawing
00:33:18
as the smile but in
00:33:21
dots we're going to use a couple
00:33:29
of the
00:33:34
hoo attributes and the
00:33:36
[Music]
00:33:38
color pink in
00:33:43
css
00:33:50
ceiling and there is my dotted smile
00:34:05
well let's take a walk through the other
00:34:09
graph What was the name of the one with the box and
00:34:14
mustache boxplot Box plot and here I can
00:34:19
draw only one of the variabl let's
00:34:21
not put the It
00:34:55
's the one they always want to put
00:34:58
everywhere, the cake one,
00:35:01
obviously the
00:35:03
cake one, they love
00:35:06
cake, they have a sweet tooth, well, go ahead and put the
00:35:09
present first because I feel like
00:35:11
forgetting
00:35:13
today with the little ones, now we're going to see the
00:35:18
Cake Graph, a question, Regina, In which section?
00:35:22
from the matl page you entered so that
00:35:27
this part Search the
00:35:30
docs is
00:35:33
m you search here on the left pip
00:35:37
plot and there you have the entire
00:35:41
list I Generally use the search engine and
00:35:45
bye it is within
00:35:49
examples How within examples Yes
00:35:52
because the main page It comes out
00:35:54
differently in references
00:35:58
okay And there
00:36:02
you search thank you here it is
00:36:14
open I recommend you look at everything not
00:36:17
because it's
00:36:20
useful you saw that I left you a little
00:36:24
book on discord the one about pandas Yes yes I
00:36:28
left it there put the
00:36:31
[Music]
00:36:34
present Thank you
00:36:45
choni Well let's go our
00:36:50
country by
00:36:54
country graphs here I will also be able to graph
00:36:58
only
00:37:10
one for example
00:37:13
and remember that when we are with a
00:37:18
pie graph we do not use more
00:37:24
than six or s ores Yes if you have more than that
00:37:29
this graph is no longer
00:37:31
viable It no longer has a purpose
00:37:38
yes and That's how easy it is, they grab the
00:37:43
numerical variable, they pass it through the p method and
00:37:47
they would have already solved the
00:37:49
input problem
00:37:55
if one wants to assign it. Show
00:37:58
the values ​​there, let's go, it's going to take a
00:38:02
calm step.
00:38:06
V to take a portion of the pizza,
00:38:11
that's called
00:38:13
explode,
00:38:15
yes.
00:38:24
explode this
00:38:32
is
00:38:33
separating a portion of the potion last night
00:38:38
I was watching Harry Potter a portion
00:38:43
of while I was having dinner I watched a little bit of
00:38:46
Harry Potter but I can't watch a
00:38:49
complete movie How sad well
00:38:54
then How many values ​​do I have in
00:39:03
I 10 10 10 Well I'm going to do an
00:39:07
explode of the third 1 two 3 starts here
00:39:12
as the transporters remember the
00:39:14
transporter 0 gr 90 gr 180 well
00:39:18
count over there sector 1 2 3 the third I
00:39:23
'm going to explode yes I'm going to explode
00:39:27
explode So I'm going to create a
00:39:34
tupl here and in that tupita I am going to put the
00:39:37
value of explode for each of these
00:39:40
sectors 0 0
00:39:44
0.5 the 3 4 5 6 7 8 9
00:39:54
10 I draw
00:39:57
my
00:40:03
pay
00:40:05
and tell it to
00:40:09
explode according to the parameters that I
00:40:11
loaded
00:40:13
n obviously I can load this here but there
00:40:17
is a little more dirty not so that it
00:40:20
remains clean at least the first
00:40:24
time I do it like this
00:40:40
and there
00:40:42
a Pacman explodes
00:40:47
How a p a Pacman eating
00:40:52
something good what else can I
00:40:55
touch
00:41:06
radius I increase it by
00:41:12
50% yes I think this is self-explanatory you
00:41:20
don't need me to explain it to you What does
00:41:25
radius do?
00:42:45
values ​​we put a
00:42:55
more
00:42:58
Let's give it the
00:43:00
explode I'm afraid that
00:43:03
these are reserved so just in
00:43:08
case we're going to put a little
00:43:13
number
00:43:16
explodes
00:43:20
expl who do you want to
00:43:25
burst
00:43:28
the
00:43:29
avocado do
00:43:35
0.25 Oh
00:43:41
there And I can also put the color I
00:43:44
want for each one Of these little things I
00:43:47
'm going to use the CSS colors, which are
00:43:49
the ones I more or less remember. Notice
00:43:51
that I can use list, I can use tuple. It's
00:43:53
going to take both of them. I'm interspersing
00:43:56
but I can use both. You can
00:44:12
tell that I'm bored with the CSS
00:44:14
colors.
00:44:24
always good Ready, I already have all the
00:44:27
values ​​armed, let's go, we're missing a
00:44:30
color
00:44:31
[Music]
00:44:33
Oh which one do
00:44:36
we put H
00:44:41
Pink e
00:44:44
p Well, what am I going to draw the
00:44:53
values ​​with the explode
00:44:56
that I have in explode a
00:45:01
putting the labels
00:45:06
of lel
00:45:09
Ju and with the
00:45:12
colors
00:45:19
of and This cachibachi Show would already be configured
00:45:33
and the
00:45:42
avocado exploded. I can modify the angle at
00:45:45
which this starts by making this
00:45:47
start here at 90 gr. For
00:45:50
example, yes, this one moves 90 gr over
00:45:54
there.
00:45:59
Let's do it. I'll just take this
00:46:07
with Start
00:46:10
angle
00:46:12
90. Well, you give it what you want,
00:46:16
no. And then
00:46:19
I would take 90 gr there or it would
00:46:23
move. 90 gr moved.
00:46:38
Well, let's put the
00:46:43
values ​​that I set as
00:46:49
percentages. Then go there and do it and
00:47:06
answer all the questions. You
00:47:08
can do this, you can
00:47:10
do another. They come and look
00:47:16
here and
00:47:20
read,
00:47:24
well, that being
00:47:30
said,
00:47:34
we are going to
00:47:37
give you the
00:47:40
percentage and this is done
00:47:43
with good luck, it helped me because I didn't
00:47:46
remember
00:47:51
and let me remember the format of this was
00:47:56
the
00:47:57
following, it enclosed
00:47:59
everything between the percentage symbols already
00:48:04
from the beginning. Yes, to give it the format and
00:48:09
the format was a
00:48:10
point number and two
00:48:15
decimals, we know this part, it is
00:48:17
common to all the
00:48:19
others. And finally I want
00:48:22
the percentage symbol to appear
00:48:24
so I add one
00:48:30
more
00:48:32
then
00:48:40
This is going to
00:48:42
[Music]
00:48:44
show a
00:48:50
float number with two
00:48:54
decimals and the
00:49:01
symbol
00:49:05
yes
00:49:08
eh Let's
00:49:21
see well they are satisfied with this
00:49:28
they are almost happy because What's
00:49:33
missing a beer something
00:49:38
vacation vacation with money ask
00:49:41
well because if we are going to ask let's ask
00:49:45
the devil is in the details
00:49:49
people
00:49:50
Well let's do it more
00:49:53
complex we are going to make the one with the
00:49:56
little hole in the
00:49:58
middle for it we are going to
00:50:03
suffer why Because there is no graph
00:50:07
that is
00:50:10
eh from
00:50:13
Dona what I am going to have to do
00:50:18
is draw a white circle and paste it
00:50:24
there
00:50:26
So a lot of
00:50:28
This goes It may be because a sorcerer
00:50:34
said it but it will always be the
00:50:37
same so it has
00:50:39
its advantage and its
00:50:43
disadvantage. Let's make our graph
00:50:46
as we had done up there. I'll
00:50:53
take
00:50:57
the explod just like that. I'm going to
00:51:00
[Music]
00:51:02
remove it.
00:51:06
Let's see. How does it
00:51:09
work for me? I'm going to start from this one and I
00:51:14
'm going to
00:51:15
add the little circle
00:51:18
inside the
00:51:21
show. I'll send it to the bottom of everything
00:51:27
so that it can do both things together.
00:51:29
So
00:51:32
here I start the
00:51:39
circle. Well, let's put the first
00:51:42
parameters,
00:51:45
the
00:51:50
central circle is going to
00:51:52
be an object of this kind
00:51:58
and
00:52:02
a circle that is going to start drawing at
00:52:05
these coordinates. Yes, take this
00:52:11
point and I am going to give it a radius of 0.6, that
00:52:15
is, it would have to go a little more than
00:52:16
half of here, so I had to make
00:52:18
a something like that well all these
00:52:22
references are regarding the radius s
00:52:26
well I followed
00:52:27
the radius
00:52:31
0.6 and then the
00:52:34
color I insist for more details go to
00:52:37
the documentation and see everything that this object can
00:52:39
do
00:52:43
White because I have a white background
00:52:50
Well I'm going to
00:52:52
save this this figure in a
00:53:00
variable
00:53:03
F
00:53:08
plt
00:53:12
G this saves the current figure in that
00:53:16
variable fig if there is no figure in the
00:53:20
stack eh Create a new one yes it creates a
00:53:27
new image for me then this is where the
00:53:30
sorcerer comes and
00:53:32
says
00:53:34
F
00:53:37
gca if you want to know what is passing
00:53:40
here go and look for it and I'm going to
00:53:45
add
00:53:49
artistically artist Why don't you
00:53:52
help me because I'm putting everything wrong or what
00:53:56
the circle that I just
00:53:59
created yes
00:54:04
And I think it would be there let's
00:54:08
try to see gfc how is it not there no gcf No
00:54:13
wonder gcf didn't help me at all. Now I
00:54:16
tell people about dyslexia. Well,
00:54:27
the percentages were ugly here, of course, so I can
00:54:30
modify the distance to the center that
00:54:32
these percentages have. If they were by
00:54:36
default
00:54:41
at
00:54:43
0.5, we set it to
00:54:45
0.75 so that I can run them. a little more
00:54:48
So I'm going to
00:54:54
say that the
00:54:56
distance is going to be
00:55:02
0.75 I'm saying the distance of this
00:55:08
component and there it should fit a
00:55:11
little more a little more
00:55:18
080 there it is now
00:55:24
yes
00:55:25
Perfect Well What happens if I want to
00:55:28
save this
00:55:35
image I click on it right and save
00:55:37
image
00:55:40
as it is an option or main screen I am also
00:55:45
going to show you
00:55:54
another
00:56:00
png and I can tell you what resolution
00:56:04
I want to save it at, let's say 300 which is a
00:56:07
nice
00:56:11
standard,
00:56:15
record it, we will run it
00:56:20
again and if everything went well, my p should
00:56:23
appear
00:56:33
png
00:56:38
Yes
00:56:40
well later I left you a series of
00:56:43
Tips there about the
00:56:53
p
00:56:55
here
00:56:59
It's good I was spoiling
00:57:04
well well that I didn't forget to
00:57:08
explain either I forgot to explain I already
00:57:12
do it automatically and I forget to
00:57:13
tell you once the show is sent
00:57:18
yes the image It seems that it is cleaned and notices
00:57:23
more, it is not something that remains permanently
00:57:26
Why Because there is no variable
00:57:28
where this is being saved, in reality
00:57:30
it is like a stack, a list and once
00:57:33
I send the show it was sent to print and
00:57:35
everything is forgotten this is yes So
00:57:39
when I want to record the image I have to
00:57:41
do it before the show of the
00:57:45
show good advice about p Chart go and
00:57:48
look at it How to display the information more
00:57:51
effectively eliminate backgrounds eliminate
00:57:53
redundant labels eliminate borders
00:57:56
reduce colors eliminate effects
00:57:58
eliminate or be clean yes
00:58:01
eh there it should there is an
00:58:05
animation
00:58:07
So it shows you how a
00:58:10
graph looks as it is
00:58:23
cleaned,
00:58:35
it would be the ux ui of the graphs of
00:58:39
course Yes, look how
00:58:42
it starts And how it looks at the end yes because
00:58:45
this is like too much
00:58:49
machi And if we eliminate all of them those
00:58:51
rubbish and the bars remain
00:58:53
calm
00:58:56
Yes, if we want to Highlight the
00:58:58
bacon is going to be the only one that is going to be left
00:59:00
with color, we can Delete all this
00:59:03
around and put the labels
00:59:05
here and with that it is
00:59:14
enough, all the
00:59:16
information is in sight What
00:59:18
I want to be highlighted is highlighted and the
00:59:21
whole disgusting concoction doesn't look like that, yes,
00:59:25
well, that's important, and here it is
00:59:28
telling you point by point that it's
00:59:32
getting cleaner, it's
00:59:36
better, well, we're done with this
00:59:39
document, let's see what the next one has
00:59:41
Oh
00:59:44
histograms of that's usually used a
00:59:51
lot
00:59:52
soni chiqu chiqu Well read, we've
00:59:56
already seen a lot of this. It's going to
01:00:08
matter
01:00:10
eh Oh, I'm not writing in
01:00:15
yours, don't tell me I didn't write in
01:00:18
this one, not in this one I was reading, I'm going to
01:00:20
take it because I'm going to take it. I'm going to send
01:00:22
a
01:00:23
[ __ ]
01:00:29
Now I'm in the one where
01:00:40
those
01:00:49
three go Well let's generate some
01:00:53
values
01:00:56
you will tell me What this does
01:01:07
np
01:01:09
[Music]
01:01:10
Random well you won't be able to tell me what
01:01:13
this does because I didn't
01:01:16
explain it to you But well I take the opportunity
01:01:21
to
01:01:23
make it
01:01:25
normal, it will
01:01:28
generate normal Random, it will generate
01:01:31
a series of 1000 random values
01:01:35
between
01:01:38
eh No, I don't have between
01:01:41
e with a normal distribution. That
01:01:45
means that when I graph those
01:01:46
values, they will come out like a Gauss bell.
01:01:50
symmetric Yes then this generates
01:01:57
generates 1 numbers random numbers
01:02:01
with
01:02:08
distribution you can V
01:02:12
normal podtion fusier the
01:02:20
present the
01:02:23
present
01:02:29
Well I'm going to
01:02:34
draw my data set And I'm going to ask you to
01:02:39
make me only 10 bars
01:02:44
10
01:02:51
ceiling
01:02:53
and
01:02:56
what did I do Oh I didn't run
01:02:59
This
01:03:01
one Sorry
01:03:04
sorry and there is my
01:03:11
graph well let's grab our
01:03:22
Netflix dataframe above I forget the name and
01:03:27
we raise it with
01:03:31
pandas method read
01:03:38
csb and this is saved in
01:03:44
Data
01:03:51
Netflix I wonder how out of
01:03:54
nowhere they are ready for the Consigna
01:03:59
six the last one
01:04:01
mandatory they want me to send it to them
01:04:06
earlier so that they have more time to
01:04:09
gossip and see it remember not to
01:04:12
panic because we haven't seen all
01:04:15
the topics yet yes we are still working on it There
01:04:18
are still some classes left it will
01:04:21
help you Yes better well
01:04:25
remember that you have to
01:04:27
hand this one in After giving the Choice, if you
01:04:30
don't need to
01:04:32
get stuck, review the theory to
01:04:34
do the Choice. Yes, what is the
01:04:40
Choice? Let's see, let's
01:04:44
see. The
01:04:46
first week of December is the
01:04:50
recovery period and the previous week is the
01:04:53
first call, that
01:04:54
is, the last week of November, first
01:04:56
week of
01:05:01
December, that is, they have one more week
01:05:05
to go over obviously what
01:05:08
appears in the Choice are going to be the topics
01:05:11
given so far.
01:05:20
the same
01:05:24
Sometimes literally
01:05:27
not good this dataframe we know it
01:05:30
by heart
01:05:33
we are not going to see how the distribution
01:05:37
of titles is according to the year in which it was
01:05:48
released Yes there we have our dataframe
01:05:52
of
01:05:56
Netflix titles and we are going to look at the
01:06:00
histogram by
01:06:09
year and see How is
01:06:13
there not What happened Netflix you
01:06:23
cs let's
01:06:24
see what
01:06:26
broke What is what
01:06:29
broke can't find the data
01:06:33
tell me let's see m it
01:06:40
turns out good let's see I'm going to open my csb that
01:06:45
I
01:06:48
downloaded Netflix
01:06:50
[Music]
01:06:53
titles
01:06:59
h let's
01:07:05
see Well there They may be that having
01:07:11
uploaded it in a
01:07:15
compressed form he didn't like it So I'm going
01:07:18
to upload it again
01:07:22
nef
01:07:25
now I'm going to put it there in the Data folder
01:07:33
and there it's taking a while so I imagine
01:07:37
that now I
01:07:50
'm going to ask pandas
01:07:52
directly
01:07:54
and
01:07:56
now let's
01:07:58
see Oh you can upload it to the students so
01:08:02
we copy it
01:08:04
while where The shared with
01:08:07
us is that it is already this is the Ah It's
01:08:11
yours Here they are
01:08:13
look it's you go over here and look for the
01:08:18
six notebooks which are the ones I'm in
01:08:20
using now it's all in the
01:08:22
same
01:08:26
Well there I have the
01:08:28
distribution by year of
01:08:34
release what I'm
01:08:42
seeing here I'm making a bar
01:08:46
every 10 years more or less yes
01:08:52
approximately here this bar is going to include everything
01:08:59
Yes and it gives me a lot of information
01:09:06
This I would lack detail
01:09:16
No, what can I
01:09:22
do? Ask other
01:09:25
questions. Can I lower the
01:09:28
range?
01:09:33
This is me
01:09:37
asking if I would like to make one
01:09:40
Bar for each
01:09:42
year. How could it
01:09:52
be? Do you
01:10:20
remember the
01:10:22
BS?
01:10:31
Yes,
01:10:33
Hello, Do you remember the beans? What were the
01:10:39
beans? How many bars do I want to
01:10:41
appear? Yes, it would be. the
01:10:43
parameter the parameter
01:10:49
this These are
01:10:52
the ones that say the
01:11:19
following and that is going to create an arrangement
01:11:22
that goes
01:11:30
what every year in which there is a
01:11:33
movie
01:11:35
Of course
01:11:37
histogram that is going to draw Data with
01:11:42
the beans that I have in bein
01:11:46
1
01:11:52
and there
01:11:57
it would be What happens
01:12:05
daughter I'm looking to see if I don't have any
01:12:07
other parentheses something a little smelly
01:12:11
eh Yes
01:12:15
Data This is going outside
01:12:19
datata yes I already saw my parentheses strange
01:12:25
Max
01:12:40
Data why it won't
01:12:43
let me because you have DF
01:12:46
ig
01:12:48
Release after Data like you have two of the
01:12:51
same it's
01:12:52
fine it
01:12:55
could
01:12:58
be
01:12:59
So
01:13:02
yes What
01:13:09
happened, your error
01:13:18
is the
01:13:22
fault
01:13:29
of np arrange originally you had
01:13:32
put min Data Max Data and you had
01:13:35
put more 1.1 you are missing a com1
01:13:39
after the Max Data +
01:13:41
1 I have a
01:13:47
dire suspicion I have a dire suspicion
01:14:00
eh
01:14:05
damn What was it like
01:14:11
[Music]
01:14:15
this
01:14:17
Ah I have a
01:14:19
loophole
01:14:22
relizar
01:14:24
let me
01:14:25
think Oh the attribute to see the
01:14:29
data types of the columns
01:14:31
Help me in
01:14:36
pandas I don't remember I blanked out they
01:14:43
didn't study He what a shame
01:14:46
what a shame I didn't study I'm going to have to
01:14:48
go to pandas Let's go over it but I don't
01:14:50
remember
01:14:52
and
01:14:54
d type
01:14:59
seems to me Well let's see if it isn't one
01:15:04
similar to that one ah it takes it as a
01:15:07
list by taking a
01:15:19
list it is taking the Data frame as
01:15:22
a list
01:15:36
that way it was easier It
01:15:41
's not an integer why do I It says it's
01:15:44
a
01:15:48
Stream, I'm not crazy, let
01:15:55
's go one by
01:16:00
one, let's go slowly so we don't
01:16:06
break up completely Okay, until it's in order,
01:16:10
if they are
01:16:12
integers, if they are
01:16:14
integers,
01:16:18
then I can
01:16:22
say
01:16:26
vin is
01:16:30
equal to the arrangement, this one that is going to start
01:16:35
from the min, they are integers. no I mean I
01:16:38
'm not crazy, they're going to go from the minimum
01:16:42
to the
01:16:45
maximum plus a Sorry but it's the minimum
01:16:49
data it's the minimum
01:16:52
rel
01:16:53
Data is loading the column This yes
01:16:57
this is Data Ah of course Sorry Yes yes yes
01:17:01
So I'm working with Data
01:17:04
with this arrangement and let's
01:17:09
see what was left
01:17:15
there just now the Machine got stuck but
01:17:18
I cached What bad luck ah
01:17:25
Oh notebook cetina
01:17:32
aleale friend I'm
01:17:39
getting old
01:17:41
ah restart
01:17:48
[Music]
01:17:52
this is
01:17:58
very good now I do have my
01:18:10
ent array Now
01:18:16
yes I'm going to make my histogram now,
01:18:20
explain to me why before
01:18:21
the Stream bounced it off, if I did the
01:18:25
same thing or I didn't do the
01:18:31
same
01:18:33
pinin
01:18:36
1
01:18:40
and I think it
01:18:46
would be there now I was
01:18:50
scared so I have a stick
01:18:53
for each year so I have a vision
01:18:57
more detailed No what happened in 2020 that
01:19:01
there are so
01:19:02
few that there was This fall when the
01:19:05
trend was to
01:19:07
increase the pandemic exactly the
01:19:11
pandemic And this did not appear here yes
01:19:15
then look at the importance of these
01:19:19
details
01:19:21
Yes if I was
01:19:25
specifically interested What happened in For the last
01:19:27
5 years I have made a
01:19:30
Bar for each year because if not I am going to
01:19:34
lose that little detail
01:19:38
yes, go in those
01:19:42
parts instead of a list like I sent
01:19:46
here yes because this is a
01:19:50
list let's remember that we can send a
01:19:55
value Yes we are going to
01:20:01
do it
01:20:07
data histogram pins we still put 40 and it will make
01:20:11
40
01:20:14
bars
01:20:20
show and here I also miss the
01:20:23
detail
01:20:25
Yes then
01:20:30
regulate the intervals they will be more or
01:20:33
less
01:20:34
5 years so you
01:20:39
see a question Regina how can I make
01:20:43
zero the minimum of data,
01:20:46
for example, so that it has a little
01:20:47
more
01:20:48
resolution. How can the zero be the one in
01:21:04
the proportion This
01:21:07
is not year zero this zero marks the zero
01:21:09
in
01:21:12
I this begins this begins
01:21:16
1925 yes it
01:21:19
begins here in min Data
01:21:28
but you could make a graph for
01:21:31
example only the last 10 years instead
01:21:33
of putting min Data you put Max Data men 10
01:21:37
Note that this starts in
01:21:39
1925. Of course, if you want me to start
01:21:43
2000, you can send 2000 there.
01:21:54
Yes, great. Thanks, you're welcome,
01:22:01
the same for the top. If I'm
01:22:04
interested in the one from 2000 to 2005, I'll put
01:22:07
2000 2005 and that
01:22:10
's it. Let's
01:22:21
continue sometimes. instead of count of
01:22:23
characteristics we need the density
01:22:25
of each
01:22:27
bar definition of
01:22:30
density ti p density as true
01:22:38
Well I'm going to
01:22:44
take
01:22:49
this with its Show
01:22:59
and
01:23:02
density there is the definition of What does
01:23:05
density mean then
01:23:08
read it and it will give me a value between 0 and
01:23:16
1 Those are the possible values ​​of
01:23:21
density. What else can I do here? If
01:23:25
I have no idea what I'm
01:23:28
talking about, I have to title the
01:23:31
axes,
01:23:33
not as data on the side. The Bin left you
01:23:36
with a minimum of 2000. Hey, not the minimum data
01:23:39
of Nothing happens
01:23:42
later when I run in the notbook
01:23:45
it's good we're going to put the
01:23:49
labels we
01:23:53
had previously done this with cbor if I don't
01:23:56
remember here it's called e Label
01:24:02
Label
01:24:05
density the axis I is called
01:24:09
density and
01:24:12
[Music]
01:24:14
lgx will be
01:24:20
called releas
01:24:27
and He gave me the
01:24:31
titles Well, it's time for us, we don't have
01:24:35
a single square left
01:24:43
Well, we're going to make one last one, all
01:24:51
personalized density
01:25:00
true V's going to put a
01:25:14
few what
01:25:19
Alfa was doing transparency
01:25:24
transparency some things that
01:25:26
can be added later go and gossip in
01:25:29
the documentation
01:25:31
no
01:25:36
right
01:25:39
horizontal orientation that we didn't
01:25:43
do that now we had the bars
01:25:47
vertical and well later you can
01:25:49
apply logarithmic scale that would
01:25:52
not
01:25:54
apply here but it is done with log through
01:26:00
and nothing more I think that with this we already have
01:26:05
an idea of ​​how it can change this
01:26:07
personal
01:26:09
I personalize
01:26:12
Yes then they go and have fun here in
01:26:16
East
01:26:21
and everything that can
01:26:27
be touched yes you can put the bars
01:26:33
stacked
01:26:35
etc. well for today we leave here
01:26:38
people see you next week we
01:26:42
have
01:26:46
Wednesday Monday holiday not
01:26:51
exactly
01:26:56
the chain in the Río de la Plata I don't
01:27:00
remember the B San Lorenzo day of
01:27:05
sovereignty esoa of
01:27:08
national sovereignty for less
01:27:15
Aryan who risked ig
01:27:21
porb my name was and the names we don't
01:27:23
take the conquest of the
01:27:26
Matacos all those things that one
01:27:29
learned in fourth grade and at this
01:27:31
point everything arrives at a salad that is all the
01:27:34
same, well, people who studied a
01:27:38
little more, I too the truth and put my
01:27:40
feet on the ground a little more
01:27:42
Because the truth is that in my time it was
01:27:44
a holiday it didn't exist, well
01:27:47
there was everything Because all of modernity brings
01:27:50
these things, we don't
01:27:53
move less and less, more and more
01:27:55
fair, more and more donkey, more and more
01:27:59
fat, the worse things are,
01:28:03
civilization is going there, we
01:28:06
think
01:28:10
less and less, in short, the mere fact that from
01:28:15
thinking that a few years ago years to be able to
01:28:20
talk on the phone I had to leave
01:28:22
my house buy a token stand in line
01:28:25
and be lucky if the phone worked you
01:28:28
remember the
01:28:31
Chip card and well most of us
01:28:34
were alive at that time it already
01:28:37
existed But well
01:28:39
look I have a long distance c
01:28:42
saved there well that's worth money
01:28:45
Free market or the
01:28:48
calling cards that you scratch a little more
01:28:50
modern also
01:28:53
remaining minutes and minutes and minutes Yes
01:28:56
yes all that gave you IP in the
01:29:02
call center well That's
01:29:05
it see you next week
01:29:07
Have a good weekend, take advantage, I'm going to
01:29:10
talk to the teachers eh Let's see if
01:29:12
we release the Slogan Six, pay attention
01:29:14
to the discord yes
01:29:17
eh And we are going to do as always on
01:29:20
Wednesday we are going to do the class that
01:29:22
we should have done on Monday and on
01:29:25
Thursday I will leave you a video so you don't get
01:29:27
late Yes good Okay good weekend
01:29:33
Also thank you very much Good Weekend

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