How to write the Input z must be at least a 2x2 array












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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.


enter image description here



enter image description here










share|improve this question









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    $begingroup$


    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.


    enter image description here



    enter image description here










    share|improve this question









    $endgroup$















      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.


      enter image description here



      enter image description here










      share|improve this question









      $endgroup$




      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.


      enter image description here



      enter image description here







      python svm ai






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked 11 mins ago









      vokoyovokoyo

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