Mailman 3 December 2022 - Matplotlib-users

Query about Programming Error
by Roberto Martin ZAMORA NEVADO Dec. 22, 2022

Dec. 22, 2022

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 Básico 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 código 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="Desviación estándar",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) #función 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 Martín Zamora Nevado* *CIP 74861* *Cel. 945990731*

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Fwd: How to match color bar in scatter plot with the value of scatter point size?
by swfiua＠gmail.com Dec. 6, 2022

Dec. 6, 2022

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(a)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(a)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(a)python.org > https://mail.python.org/mailman/listinfo/matplotlib-users >

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How to match color bar in scatter plot with the value of scatter point size?
by Gautham Dec. 5, 2022

Dec. 5, 2022

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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