Matplotlib RuntimeWarning displaying a 3D plot

Matplotlib RuntimeWarning displaying a 3D plot

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Matplotlib RuntimeWarning displaying a 3D plot
Tag : python , By : Alan Little
Date : November 25 2020, 03:01 PM

this one helps. The problem is that griddata cannot produce data for the edges of the grid. This is circumvented internally by masking the output array. However, for a masked array, a comparison xa < 0, which is needed to determine the colors, is not possible.
The solution here would be to exclude the edges from plotting.
ax.plot_surface(X[1:-1,1:-1], Y[1:-1,1:-1], Z[1:-1,1:-1])
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
import matplotlib.pyplot as plt
from matplotlib.mlab import griddata
import numpy as np

fig = plt.figure()
ax = fig.gca(projection='3d')

data = np.genfromtxt('plot.txt')
x = data[:,0]
y = data[:,1]
z = data[:,2]

xi = np.linspace(-1, 1)
yi = np.linspace(-1, 1)

X, Y = np.meshgrid(xi, yi)
Z = griddata(x, y, z, xi, yi, interp='linear')

surf = ax.plot_surface(X[1:-1,1:-1], Y[1:-1,1:-1], Z[1:-1,1:-1], 
                       rstride=5, cstride=5, cmap=cm.jet,
                       linewidth=1, antialiased=True)

ax.set_zlim3d(np.min(Z), np.max(Z))



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Save plot to image file instead of displaying it using Matplotlib

Tag : python , By : user186012
Date : March 29 2020, 07:55 AM
wish help you to fix your issue While the question has been answered, I'd like to add some useful tips when using matplotlib.pyplot.savefig. The file format can be specified by the extension:
from matplotlib import pyplot as plt

savefig('foo.png', bbox_inches='tight')

Disable displaying coordinate in matplotlib plot

Tag : python , By : Vlad Sirenko
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , You want the opposite of matplotlib values under cursor, but the solution is the same, you need to over-write the format_coord attribute on the Axes object.
ax.format_coord = lambda x, y: ''
class my_toolbar(NavigationToolbar2TkAgg):
    def set_message(self, msg):

Matplotlib: Displaying and closing a plot using a loop

Tag : python-2.7 , By : John Phipps
Date : March 29 2020, 07:55 AM
I hope this helps you . You can use interactive mode plt.ion() in combination with plt.pause().
E.g. to show your window for 5 seconds:
import matplotlib.pyplot as plt

x = [34.00,108.00,64.00,99.00,99.00,51.00]
y = [5.00,17.00,11.00,8.00,14.00,5.00]

plt.scatter(x, y, color = "black")

MatplotLib - Displaying Data under Graph / Plot

Tag : python , By : ThF
Date : March 29 2020, 07:55 AM

Displaying colors of very narrow rectangles in matplotlib's bar plot

Tag : python , By : user93312
Date : March 29 2020, 07:55 AM
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