How to write the Input z must be at least a 2x2 array
0
$begingroup$
May I know how to modify -
import numpy as np
import matplotlib.pyplot as plt
from sklearn import svm, datasets
# import some data to play with
iris = datasets.load_iris()
X = iris.data[:,[2,3]]
y = iris.target
def plotSVC(title):
cs = [0.1, 1, 10, 100]
for c in cs:
svc = svm.SVC(kernel='rbf', C=c).fit(X, y)
plotSVC('C=' + str(c))
# create a mesh to plot in
x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1
y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1
h = (x_max / x_min)/100
xx, yy = np.meshgrid(np.arange(x_min, x_max, h),
np.arange(y_min, y_max, h))
plt.subplot(1, 1, 1)
Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])
Z = Z.reshape(xx.shape)
plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)
plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)
plt.xlabel('petal length')
plt.ylabel('petal width')
plt.xlim(xx.min(), xx.max())
plt.show()
The error is -
runfile('C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py', wdir='C:/Users/HSIPL/Desktop/New f/a i')
C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py:18: RuntimeWarning: divide by zero encountered in double_scalars
x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1
C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcbookdeprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
Traceback (most recent call last):
File "<ipython-input-7-9e53960ad79d>", line 1, in <module>
runfile('C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py', wdir='C:/Users/HSIPL/Desktop/New f/a i')
File "C:UsersHSIPLAnaconda3libsite-packagesspyder_kernelscustomizespydercustomize.py", line 668, in runfile
execfile(filename, namespace)
File "C:UsersHSIPLAnaconda3libsite-packagesspyder_kernelscustomizespydercustomize.py", line 108, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py", line 25, in <module>
plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibpyplot.py", line 2938, in contourf
ret = ax.contourf(*args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlib__init__.py", line 1867, in inner
return func(ax, *args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibaxes_axes.py", line 6290, in contourf
contours = mcontour.QuadContourSet(self, *args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 890, in __init__
kwargs = self._process_args(*args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 1476, in _process_args
x, y, z = self._contour_args(args, kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 1534, in _contour_args
x, y, z = self._check_xyz(args[:3], kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 1570, in _check_xyz
raise TypeError("Input z must be at least a 2x2 array.")
TypeError: Input z must be at least a 2x2 array.
python svm ai
$endgroup$
add a comment |
0
$begingroup$
May I know how to modify -
import numpy as np
import matplotlib.pyplot as plt
from sklearn import svm, datasets
# import some data to play with
iris = datasets.load_iris()
X = iris.data[:,[2,3]]
y = iris.target
def plotSVC(title):
cs = [0.1, 1, 10, 100]
for c in cs:
svc = svm.SVC(kernel='rbf', C=c).fit(X, y)
plotSVC('C=' + str(c))
# create a mesh to plot in
x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1
y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1
h = (x_max / x_min)/100
xx, yy = np.meshgrid(np.arange(x_min, x_max, h),
np.arange(y_min, y_max, h))
plt.subplot(1, 1, 1)
Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])
Z = Z.reshape(xx.shape)
plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)
plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)
plt.xlabel('petal length')
plt.ylabel('petal width')
plt.xlim(xx.min(), xx.max())
plt.show()
The error is -
runfile('C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py', wdir='C:/Users/HSIPL/Desktop/New f/a i')
C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py:18: RuntimeWarning: divide by zero encountered in double_scalars
x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1
C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcbookdeprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
Traceback (most recent call last):
File "<ipython-input-7-9e53960ad79d>", line 1, in <module>
runfile('C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py', wdir='C:/Users/HSIPL/Desktop/New f/a i')
File "C:UsersHSIPLAnaconda3libsite-packagesspyder_kernelscustomizespydercustomize.py", line 668, in runfile
execfile(filename, namespace)
File "C:UsersHSIPLAnaconda3libsite-packagesspyder_kernelscustomizespydercustomize.py", line 108, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py", line 25, in <module>
plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibpyplot.py", line 2938, in contourf
ret = ax.contourf(*args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlib__init__.py", line 1867, in inner
return func(ax, *args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibaxes_axes.py", line 6290, in contourf
contours = mcontour.QuadContourSet(self, *args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 890, in __init__
kwargs = self._process_args(*args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 1476, in _process_args
x, y, z = self._contour_args(args, kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 1534, in _contour_args
x, y, z = self._check_xyz(args[:3], kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 1570, in _check_xyz
raise TypeError("Input z must be at least a 2x2 array.")
TypeError: Input z must be at least a 2x2 array.
python svm ai
$endgroup$
add a comment |
0
0
0
$begingroup$
May I know how to modify -
import numpy as np
import matplotlib.pyplot as plt
from sklearn import svm, datasets
# import some data to play with
iris = datasets.load_iris()
X = iris.data[:,[2,3]]
y = iris.target
def plotSVC(title):
cs = [0.1, 1, 10, 100]
for c in cs:
svc = svm.SVC(kernel='rbf', C=c).fit(X, y)
plotSVC('C=' + str(c))
# create a mesh to plot in
x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1
y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1
h = (x_max / x_min)/100
xx, yy = np.meshgrid(np.arange(x_min, x_max, h),
np.arange(y_min, y_max, h))
plt.subplot(1, 1, 1)
Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])
Z = Z.reshape(xx.shape)
plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)
plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)
plt.xlabel('petal length')
plt.ylabel('petal width')
plt.xlim(xx.min(), xx.max())
plt.show()
The error is -
runfile('C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py', wdir='C:/Users/HSIPL/Desktop/New f/a i')
C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py:18: RuntimeWarning: divide by zero encountered in double_scalars
x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1
C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcbookdeprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
Traceback (most recent call last):
File "<ipython-input-7-9e53960ad79d>", line 1, in <module>
runfile('C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py', wdir='C:/Users/HSIPL/Desktop/New f/a i')
File "C:UsersHSIPLAnaconda3libsite-packagesspyder_kernelscustomizespydercustomize.py", line 668, in runfile
execfile(filename, namespace)
File "C:UsersHSIPLAnaconda3libsite-packagesspyder_kernelscustomizespydercustomize.py", line 108, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py", line 25, in <module>
plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibpyplot.py", line 2938, in contourf
ret = ax.contourf(*args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlib__init__.py", line 1867, in inner
return func(ax, *args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibaxes_axes.py", line 6290, in contourf
contours = mcontour.QuadContourSet(self, *args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 890, in __init__
kwargs = self._process_args(*args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 1476, in _process_args
x, y, z = self._contour_args(args, kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 1534, in _contour_args
x, y, z = self._check_xyz(args[:3], kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 1570, in _check_xyz
raise TypeError("Input z must be at least a 2x2 array.")
TypeError: Input z must be at least a 2x2 array.
python svm ai
$endgroup$
May I know how to modify -
import numpy as np
import matplotlib.pyplot as plt
from sklearn import svm, datasets
# import some data to play with
iris = datasets.load_iris()
X = iris.data[:,[2,3]]
y = iris.target
def plotSVC(title):
cs = [0.1, 1, 10, 100]
for c in cs:
svc = svm.SVC(kernel='rbf', C=c).fit(X, y)
plotSVC('C=' + str(c))
# create a mesh to plot in
x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1
y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1
h = (x_max / x_min)/100
xx, yy = np.meshgrid(np.arange(x_min, x_max, h),
np.arange(y_min, y_max, h))
plt.subplot(1, 1, 1)
Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])
Z = Z.reshape(xx.shape)
plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)
plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)
plt.xlabel('petal length')
plt.ylabel('petal width')
plt.xlim(xx.min(), xx.max())
plt.show()
The error is -
runfile('C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py', wdir='C:/Users/HSIPL/Desktop/New f/a i')
C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py:18: RuntimeWarning: divide by zero encountered in double_scalars
x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1
C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcbookdeprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
warnings.warn(message, mplDeprecation, stacklevel=1)
Traceback (most recent call last):
File "<ipython-input-7-9e53960ad79d>", line 1, in <module>
runfile('C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py', wdir='C:/Users/HSIPL/Desktop/New f/a i')
File "C:UsersHSIPLAnaconda3libsite-packagesspyder_kernelscustomizespydercustomize.py", line 668, in runfile
execfile(filename, namespace)
File "C:UsersHSIPLAnaconda3libsite-packagesspyder_kernelscustomizespydercustomize.py", line 108, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/HSIPL/Desktop/New f/a i/Homework 5 6 Solution draft.py", line 25, in <module>
plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibpyplot.py", line 2938, in contourf
ret = ax.contourf(*args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlib__init__.py", line 1867, in inner
return func(ax, *args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibaxes_axes.py", line 6290, in contourf
contours = mcontour.QuadContourSet(self, *args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 890, in __init__
kwargs = self._process_args(*args, **kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 1476, in _process_args
x, y, z = self._contour_args(args, kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 1534, in _contour_args
x, y, z = self._check_xyz(args[:3], kwargs)
File "C:UsersHSIPLAnaconda3libsite-packagesmatplotlibcontour.py", line 1570, in _check_xyz
raise TypeError("Input z must be at least a 2x2 array.")
TypeError: Input z must be at least a 2x2 array.
python svm ai
python svm ai
asked 11 mins ago
vokoyovokoyo
43
43
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