From gautham949 at gmail.com  Mon Dec  5 01:25:46 2022
From: gautham949 at gmail.com (Gautham)
Date: Mon, 5 Dec 2022 11:55:46 +0530
Subject: [Matplotlib-users] How to match color bar in scatter plot with the
 value of scatter point size?
Message-ID: <CAG0304Bj=5OVfU0dPhuwQ8ZHGPxyNKuchJS6oH+4TPRyLVik5A@mail.gmail.com>

Hello all,

I am trying to generate a scatter plot using dataframe series *x *&* y* and
the size of the scatter data point using dataframe series *z*.

All is good until I add the color bar, which maps the data in *z*. The
resulting plot doesn't make sense to me as the color of the scatter points
is all over the plot regardless of the size of scatter data points.

Example script:

fig, ax = plt.subplots()
splot = ax.scatter(x.to_numpy(), y.to_numpy(),  marker= 'o', \
                  s = scat.to_numpy(), cmap ='viridis_r', c =
scat.to_numpy())
fig.tight_layout()
plt.colorbar(splot)
plt.show()

Thanks
Gautham
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From gautham949 at gmail.com  Mon Dec  5 03:07:41 2022
From: gautham949 at gmail.com (Gautham)
Date: Mon, 5 Dec 2022 13:37:41 +0530
Subject: [Matplotlib-users] How to match color bar in scatter plot with
 the value of scatter point size?
In-Reply-To: <CAG0304Bj=5OVfU0dPhuwQ8ZHGPxyNKuchJS6oH+4TPRyLVik5A@mail.gmail.com>
References: <CAG0304Bj=5OVfU0dPhuwQ8ZHGPxyNKuchJS6oH+4TPRyLVik5A@mail.gmail.com>
Message-ID: <CAG0304CiTVhCGn4kpAvJXHOPxCwHEYRJdstfEPUghUZx+_e=WA@mail.gmail.com>

I should mention that I iterate through a set of x,y, and z arrays and add
the color plot outside the loop.

fig, ax = plt.subplots()
for x, y, z in arrays:
     splot = ax.scatter(x.to_numpy(), y.to_numpy(),  marker= 'o', s =
z.to_numpy(), cmap ='viridis_r', c = z.to_numpy())

fig.tight_layout()
plt.colorbar(splot)
plt.show()

Gautham

On Mon, Dec 5, 2022 at 11:55 AM Gautham <gautham949 at gmail.com> wrote:

> Hello all,
>
> I am trying to generate a scatter plot using dataframe series *x *&* y*
> and the size of the scatter data point using dataframe series *z*.
>
> All is good until I add the color bar, which maps the data in *z*. The
> resulting plot doesn't make sense to me as the color of the scatter points
> is all over the plot regardless of the size of scatter data points.
>
> Example script:
>
> fig, ax = plt.subplots()
> splot = ax.scatter(x.to_numpy(), y.to_numpy(),  marker= 'o', \
>                   s = scat.to_numpy(), cmap ='viridis_r', c =
> scat.to_numpy())
> fig.tight_layout()
> plt.colorbar(splot)
> plt.show()
>
> Thanks
> Gautham
>
>

--
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From swfiua at gmail.com  Mon Dec  5 19:39:01 2022
From: swfiua at gmail.com (swfiua at gmail.com)
Date: Mon, 5 Dec 2022 19:39:01 -0500
Subject: [Matplotlib-users] Fwd: How to match color bar in scatter plot with
 the value of scatter point size?
In-Reply-To: <CAO4m3cLRo9m9nGw+uYgTO685sE1AC+wVLTidVujv-keJ=E=stA@mail.gmail.com>
References: <CAG0304Bj=5OVfU0dPhuwQ8ZHGPxyNKuchJS6oH+4TPRyLVik5A@mail.gmail.com>
 <CAG0304CiTVhCGn4kpAvJXHOPxCwHEYRJdstfEPUghUZx+_e=WA@mail.gmail.com>
 <CAO4m3cLRo9m9nGw+uYgTO685sE1AC+wVLTidVujv-keJ=E=stA@mail.gmail.com>
Message-ID: <CAO4m3cLz65G-nQ51w0rCKPiFs1uoDxoaCye8iu8xXxP_A7fftQ@mail.gmail.com>

This code produces plots that look ok to me:

from matplotlib import pyplot as plt

import numpy as np

x = np.random.randint(1,100, 100)
y = np.random.randint(1,100, 100)
z = np.random.randint(1,100, 100)

fig, ax = plt.subplots()
splot = ax.scatter(x, y,  marker= 'o',
                   s = z,
                   cmap ='viridis_r', c = z)
fig.tight_layout()
plt.colorbar(splot)
plt.show()


On Mon, 5 Dec 2022 at 03:08, Gautham <gautham949 at gmail.com> wrote:

> I should mention that I iterate through a set of x,y, and z arrays and add
> the color plot outside the loop.
>
> fig, ax = plt.subplots()
> for x, y, z in arrays:
>      splot = ax.scatter(x.to_numpy(), y.to_numpy(),  marker= 'o', s =
> z.to_numpy(), cmap ='viridis_r', c = z.to_numpy())
>
> fig.tight_layout()
> plt.colorbar(splot)
> plt.show()
>
> Gautham
>
> On Mon, Dec 5, 2022 at 11:55 AM Gautham <gautham949 at gmail.com> wrote:
>
>> Hello all,
>>
>> I am trying to generate a scatter plot using dataframe series *x *&* y*
>> and the size of the scatter data point using dataframe series *z*.
>>
>> All is good until I add the color bar, which maps the data in *z*. The
>> resulting plot doesn't make sense to me as the color of the scatter points
>> is all over the plot regardless of the size of scatter data points.
>>
>> Example script:
>>
>> fig, ax = plt.subplots()
>> splot = ax.scatter(x.to_numpy(), y.to_numpy(),  marker= 'o', \
>>                   s = scat.to_numpy(), cmap ='viridis_r', c =
>> scat.to_numpy())
>> fig.tight_layout()
>> plt.colorbar(splot)
>> plt.show()
>>
>> Thanks
>> Gautham
>>
>>
>
> --
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
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From roberto.zamora1 at unmsm.edu.pe  Tue Dec 20 14:14:26 2022
From: roberto.zamora1 at unmsm.edu.pe (Roberto Martin ZAMORA NEVADO)
Date: Tue, 20 Dec 2022 14:14:26 -0500
Subject: [Matplotlib-users] Query about Programming Error
Message-ID: <CAMGjApMUraw=w-1bLjp81d=tcrWLxivpZtmK8+ojQOEVCqsLzQ@mail.gmail.com>

I am developing a program for research purposes to enter from Tkinter
values of mean, standard deviation and ranges, to graph a normal
distribution, but it throws me an error of
Traceback (most recent call last):
  File "C:\Program
Files\WindowsApps\PythonSoftwareFoundation.Python.3.10_3.10.2544.0_x64__qbz5n2kfra8p0\lib\tkinter\__init__.py",
line 1921, in __call__
    return self.func(*args)
  File "g:\Cursos\Curso B?sico de Python\Prueba 102", line 45, in
Graph_Generator
    x=np.linspace[normal(a.get()), normal(b.get()),(c.get())]
TypeError: 'rv_continuous_frozen' object is not callable

El c?digo que he desarrollado en visual studio es:
from tkinter import*
import matplotlib.pyplot as plt
import numpy as np
from scipy import stats


root=Tk()

mu=DoubleVar()
sigma=DoubleVar()
a=DoubleVar()
b=DoubleVar()
c=DoubleVar()

label10=Label(root,text="Media",font=("Times_New_Roman",20))
label10.place(x=180,y=100)
entry6=Entry(root,textvariable=mu,font=("Times_New_Roman",20))
entry6.place(x=600, y=100)

label11=Label(root,text="Desviaci?n est?ndar",font=("Times_New_Roman",20))
label11.place(x=180,y=200)
entry7=Entry(root,textvariable=sigma,font=("Times_New_Roman",20))
entry7.place(x=600, y=200)

label12=Label(root,text="Linspace1",font=("Times_New_Roman",20))
label12.place(x=180,y=300)
entry8=Entry(root,textvariable=a,font=("Times_New_Roman",20))
entry8.place(x=600, y=300)

label13=Label(root,text="Linspace2",font=("Times_New_Roman",20))
label13.place(x=180,y=400)
entry9=Entry(root,textvariable=b,font=("Times_New_Roman",20))
entry9.place(x=600, y=400)

label14=Label(root,text="Linspace3",font=("Times_New_Roman",20))
label14.place(x=180,y=500)
entry10=Entry(root,textvariable=c,font=("Times_New_Roman",20))
entry10.place(x=600, y=500)



def Graph_Generator ():

    normal= stats.norm(mu,sigma)
    x=np.linspace[normal(a.get()), normal(b.get()),(c.get())]
    fp= normal.pdf(x) #funci?n de probabilidad
    plt.plot(x,fp)
    plt.show()

graph_button=Button(root, text="Generate graph", command=Graph_Generator)
graph_button.pack(pady=30)
root.mainloop()



How can I find a solution to this problem?



*Ing. Roberto Mart?n Zamora Nevado*
*CIP 74861*
*Cel. 945990731*
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From cs at cskk.id.au  Wed Dec 21 17:50:21 2022
From: cs at cskk.id.au (Cameron Simpson)
Date: Thu, 22 Dec 2022 09:50:21 +1100
Subject: [Matplotlib-users] Query about Programming Error
In-Reply-To: <CAMGjApMUraw=w-1bLjp81d=tcrWLxivpZtmK8+ojQOEVCqsLzQ@mail.gmail.com>
References: <CAMGjApMUraw=w-1bLjp81d=tcrWLxivpZtmK8+ojQOEVCqsLzQ@mail.gmail.com>
Message-ID: <Y6ONrZp0bBsxLhGf@cskk.homeip.net>

On 20Dec2022 14:14, Roberto Martin ZAMORA NEVADO <roberto.zamora1 at unmsm.edu.pe> wrote:
>I am developing a program for research purposes to enter from Tkinter
>values of mean, standard deviation and ranges, to graph a normal
>distribution, but it throws me an error of
>
>Traceback (most recent call last):
>  File "C:\Program
>Files\WindowsApps\PythonSoftwareFoundation.Python.3.10_3.10.2544.0_x64__qbz5n2kfra8p0\lib\tkinter\__init__.py",
>line 1921, in __call__
>    return self.func(*args)
>  File "g:\Cursos\Curso B?sico de Python\Prueba 102", line 45, in
>Graph_Generator
>    x=np.linspace[normal(a.get()), normal(b.get()),(c.get())]
>TypeError: 'rv_continuous_frozen' object is not callable

That suggests that `normal` is a `rv_continuous_frozen` instance. That 
has a bunch of methods to obtain various things.

Looking at the docs for `scipy.stats.norm`:
https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.norm.html#scipy.stats.norm

It looks like your line:

     normal= stats.norm(mu,sigma)

obtains one of these objects. Based on the examples there, maybe you 
need the distribution's `.pdf` method (probablity distribution 
function)? Eg in the erroring line:

     x=np.linspace[normal(a.get()), normal(b.get()),(c.get())]

you want to say `normal.pdf(a.get())` and so forth instead of just 
`normal`?

The docs for `rv_continuous_frozen` are here:
https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.rv_continuous.html#scipy.stats.rv_continuous
and it has a list of the methods about a screen or so down the page.
I do not know if you want the `.pdf()` method or one of the others.

Cheers,
Cameron Simpson <cs at cskk.id.au>

From vincent.adrien at gmail.com  Thu Dec 22 05:11:25 2022
From: vincent.adrien at gmail.com (vincent.adrien at gmail.com)
Date: Thu, 22 Dec 2022 11:11:25 +0100
Subject: [Matplotlib-users] Query about Programming Error
In-Reply-To: <Y6ONrZp0bBsxLhGf@cskk.homeip.net>
References: <CAMGjApMUraw=w-1bLjp81d=tcrWLxivpZtmK8+ojQOEVCqsLzQ@mail.gmail.com>
 <Y6ONrZp0bBsxLhGf@cskk.homeip.net>
Message-ID: <1c4a470c-eecf-372b-d70d-8032c1e47a92@gmail.com>

Hi Roberto,

Besides the problem of trying to modify the parameters of a frozen distribution instance as pointed out by Cameron, it looks like your example code is missing the display of the graphical elements to define the parameters of the Gaussian distribution that you want to plot. There is also a small typo in your call to `np.linspace` (`np.linspace(...)` and not `np.linspace[...]`).

The modified program below seems to work, at least on my computer. Please note that I am no user of tkinter so those parts of the code might not really follow to usual best practices regardind the GUI elements.

```python
from tkinter import*
import matplotlib.pyplot as plt
import numpy as np
from scipy import stats


root = Tk()

# Set up Gaussian parameters with default dummy values
mu = DoubleVar(master=root, value=0.0)
sigma = DoubleVar(master=root, value=1.0)
a = DoubleVar(master=root, value=-5.0)
b = DoubleVar(master=root, value=5.0)
c = DoubleVar(master=root, value=1000)

label10 = Label(root,text="Media", font=("Times_New_Roman", 20))
label10.place(x=180, y=100)
entry6 = Entry(root, textvariable=mu, font=("Times_New_Roman", 20))
entry6.place(x=600, y=100)

label11 = Label(root, text="Desviaci?n est?ndar", font=("Times_New_Roman", 20))
label11.place(x=180, y=200)
entry7 = Entry(root, textvariable=sigma, font=("Times_New_Roman", 20))
entry7.place(x=600, y=200)

label12 = Label(root, text="Linspace1", font=("Times_New_Roman", 20))
label12.place(x=180, y=300)
entry8 = Entry(root, textvariable=a, font=("Times_New_Roman", 20))
entry8.place(x=600, y=300)

label13 = Label(root, text="Linspace2", font=("Times_New_Roman", 20))
label13.place(x=180, y=400)
entry9 = Entry(root, textvariable=b, font=("Times_New_Roman", 20))
entry9.place(x=600, y=400)

label14 = Label(root, text="Linspace3", font=("Times_New_Roman", 20))
label14.place(x=180, y=500)
entry10 = Entry(root, textvariable=c, font=("Times_New_Roman", 20))
entry10.place(x=600, y=500)


def Graph_Generator ():

     # Set up the Gaussian distribution
     normal = stats.norm(loc=mu.get(), scale=sigma.get())
     
     # Parameters for the display
     x_min = a.get()
     x_max = b.get()
     nb_samples = int(c.get())  # beware that linspace expects an integer

     # Compute what to plot
     x = np.linspace(x_min, x_max, nb_samples)
     fp = normal.pdf(x) #funci?n de probabilidad

     # Display the results
     fig, ax = plt.subplots()
     ax.plot(x, fp)
     ax.set_xlim(x_min, x_max)
     plt.show()

graph_button = Button(root, text="Generate graph", command=Graph_Generator)
graph_button.pack(pady=30)

# Display elements related to `mu` parameter
label10.pack()
entry6.pack()

# Display elements related to `sigma` parameter
label11.pack()
entry7.pack()

# Display elements related to `a` parameter
label12.pack()
entry8.pack()

# Display elements related to `b` parameter
label13.pack()
entry9.pack()

# Display elements related to `c` parameter
label14.pack()
entry10.pack()

root.mainloop()
```

Hopefully this will help you.

Best regards,
Adrien

Le 21/12/2022 ? 23:50, Cameron Simpson a ?crit?:
> On 20Dec2022 14:14, Roberto Martin ZAMORA NEVADO <roberto.zamora1 at unmsm.edu.pe> wrote:
>> I am developing a program for research purposes to enter from Tkinter
>> values of mean, standard deviation and ranges, to graph a normal
>> distribution, but it throws me an error of
>>
>> Traceback (most recent call last):
>> ?File "C:\Program
>> Files\WindowsApps\PythonSoftwareFoundation.Python.3.10_3.10.2544.0_x64__qbz5n2kfra8p0\lib\tkinter\__init__.py",
>> line 1921, in __call__
>> ?? return self.func(*args)
>> ?File "g:\Cursos\Curso B?sico de Python\Prueba 102", line 45, in
>> Graph_Generator
>> ?? x=np.linspace[normal(a.get()), normal(b.get()),(c.get())]
>> TypeError: 'rv_continuous_frozen' object is not callable
> 
> That suggests that `normal` is a `rv_continuous_frozen` instance. That has a bunch of methods to obtain various things.
> 
> Looking at the docs for `scipy.stats.norm`:
> https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.norm.html#scipy.stats.norm
> 
> It looks like your line:
> 
>  ??? normal= stats.norm(mu,sigma)
> 
> obtains one of these objects. Based on the examples there, maybe you need the distribution's `.pdf` method (probablity distribution function)? Eg in the erroring line:
> 
>  ??? x=np.linspace[normal(a.get()), normal(b.get()),(c.get())]
> 
> you want to say `normal.pdf(a.get())` and so forth instead of just `normal`?
> 
> The docs for `rv_continuous_frozen` are here:
> https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.rv_continuous.html#scipy.stats.rv_continuous
> and it has a list of the methods about a screen or so down the page.
> I do not know if you want the `.pdf()` method or one of the others.
> 
> Cheers,
> Cameron Simpson <cs at cskk.id.au>
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users