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How to write the Input z must be at least a 2x2 array
The Next CEO of Stack Overflow2019 Community Moderator ElectionThe effect of all zero value as the input of SVMHow to create an array from the list of arrays in pythonHow can I extract the residual array from the Scikit Learn PCA routine?How to reform arrayNumber of features of the model must match the input. Model n_features is `N` and input n_features is `X`.What are the best practices for data formatting?Numpy: how to add zeros while reshaping the arrayDetermine input array that approximates a target output array from complex numerical simulation?how to reshape xtrain array and what about input shape?How to correct the NameError?
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
asked 40 mins ago
vokoyovokoyo
23
$endgroup$
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
asked 40 mins ago
vokoyovokoyo
23
$endgroup$
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
asked 40 mins ago
vokoyovokoyo
23
$endgroup$
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 40 mins ago
vokoyovokoyo
23
asked 40 mins ago
vokoyovokoyo
23
asked 40 mins ago
vokoyovokoyo
23
asked 40 mins ago
vokoyovokoyo
23
asked 40 mins ago
vokoyovokoyo
23
23
add a comment |
add a comment |
0
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