Python colorbar.make_axes方法代碼示例

# 需要導入模塊: from matplotlib import colorbar [as 別名]
# 或者: from matplotlib.colorbar import make_axes [as 別名]
def colorbar(self, mappable, cax=None, ax=None, use_gridspec=True, **kw):
        """
        Create a colorbar for a ScalarMappable instance, *mappable*.

        Documentation for the pylab thin wrapper:
        %(colorbar_doc)s
        """
        if ax is None:
            ax = self.gca()

        # Store the value of gca so that we can set it back later on.
        current_ax = self.gca()

        if cax is None:
            if use_gridspec and isinstance(ax, SubplotBase):
                cax, kw = cbar.make_axes_gridspec(ax, **kw)
            else:
                cax, kw = cbar.make_axes(ax, **kw)
        cax.hold(True)
        cb = cbar.colorbar_factory(cax, mappable, **kw)

        self.sca(current_ax)
        return cb 

# 需要導入模塊: from matplotlib import colorbar [as 別名]
# 或者: from matplotlib.colorbar import make_axes [as 別名]
def colorbar(self, mappable, cax=None, ax=None, use_gridspec=True, **kw):
        """
        Create a colorbar for a ScalarMappable instance, *mappable*.

        Documentation for the pyplot thin wrapper:
        %(colorbar_doc)s
        """
        if ax is None:
            ax = self.gca()

        # Store the value of gca so that we can set it back later on.
        current_ax = self.gca()

        if cax is None:
            if use_gridspec and isinstance(ax, SubplotBase)  \
                     and (not self.get_constrained_layout()):
                cax, kw = cbar.make_axes_gridspec(ax, **kw)
            else:
                cax, kw = cbar.make_axes(ax, **kw)

        # need to remove kws that cannot be passed to Colorbar
        NON_COLORBAR_KEYS = ['fraction', 'pad', 'shrink', 'aspect', 'anchor',
                             'panchor']
        cb_kw = {k: v for k, v in kw.items() if k not in NON_COLORBAR_KEYS}
        cb = cbar.colorbar_factory(cax, mappable, **cb_kw)

        self.sca(current_ax)
        self.stale = True
        return cb 

# 需要導入模塊: from matplotlib import colorbar [as 別名]
# 或者: from matplotlib.colorbar import make_axes [as 別名]
def _post_train_batch(self, kwargs):  # pragma: no cover
        if kwargs['iter'] % self._write_every == 0:
            net = kwargs['net']
            if self._sample is not None:
                for bname in self._sample.keys():
                    net.blobs[bname].data[-1, ...] = self._sample[bname]
                    net.forward()
            for bname in self._selected_blobs:
                blob = net.blobs[bname].data
                nchannels = blob.shape[1]
                gridlen = int(_np.ceil(_np.sqrt(nchannels)))
                fig, axes = _plt.subplots(nrows=gridlen,
                                          ncols=gridlen,
                                          squeeze=False)
                bmin = blob[-1].min()
                bmax = blob[-1].max()
                for c_idx in range(nchannels):
                    ax = axes.flat[c_idx]  # pylint: disable=invalid-name
                    im = ax.imshow(blob[-1, c_idx],  # pylint: disable=invalid-name
                                   vmin=bmin,
                                   vmax=bmax,
                                   cmap='Greys_r',
                                   interpolation='none')
                    ax.set_title('C%d' % (c_idx))
                    ax.yaxis.set_visible(False)
                    ax.xaxis.set_visible(False)
                # pylint: disable=undefined-loop-variable
                for blank_idx in range(c_idx + 1, gridlen * gridlen):
                    ax = axes.flat[blank_idx]  # pylint: disable=invalid-name
                    ax.axis('off')
                _plt.tight_layout(rect=[0, 0.03, 1, 0.95])
                _plt.suptitle("Activations in blob %s (iteration %d)" % (
                    bname, self._iteroffset + kwargs['iter']))
                cbax, cbkw = _colorbar.make_axes([ax for ax in axes.flat])
                fig.colorbar(im, cax=cbax, **cbkw)
                _plt.savefig(self._output_folder +
                             'activations_%s_%d.png' % (
                                 bname,
                                 (self._iteroffset + kwargs['iter']) /
                                 self._write_every))
                _plt.close(fig) 

# 需要導入模塊: from matplotlib import colorbar [as 別名]
# 或者: from matplotlib.colorbar import make_axes [as 別名]
def plot_regions(boxes, interests, ax=None, xlabel='', ylabel='', xlim=None, ylim=None, bar=True):
    ft_off = 15
    # Create figure and axes
    if ax == None:
        f, ax = plt.subplots(1, 1, figsize=(8, 7))
    # Add the patch to the Axes
    #print(boxes)
    for b, ints in zip(boxes, interests):
        # print(b)
        lx, ly = b.low
        hx, hy = b.high
        c = plt.cm.jet(ints)
        rect = patches.Rectangle([lx, ly], (hx - lx), (hy - ly), linewidth=3, edgecolor='white', facecolor=c)
        ax.add_patch(rect)
        # plt.Rectangle([lx,ly],(hx - lx), (hy - ly))

    if bar:
        cax, _ = cbar.make_axes(ax, shrink=0.8)
        cb = cbar.ColorbarBase(cax, cmap=plt.cm.jet)
        cb.set_label('Absolute Learning Progress', fontsize=ft_off + 5)
        cax.tick_params(labelsize=ft_off + 0)
    ax.set_xlim(left=xlim[0], right=xlim[1])
    ax.set_ylim(bottom=ylim[0], top=ylim[1])
    ax.set_xlabel(xlabel, fontsize=ft_off + 0)
    ax.set_ylabel(ylabel, fontsize=ft_off + 0)
    ax.tick_params(axis='both', which='major', labelsize=ft_off + 5)
    ax.set_aspect('equal', 'box') 

# 需要導入模塊: from matplotlib import colorbar [as 別名]
# 或者: from matplotlib.colorbar import make_axes [as 別名]
def draw_competence_grid(ax, comp_grid, x_bnds, y_bnds, bar=True):
    comp_grid[comp_grid == 100] = 1000
    ax.pcolor(x_bnds, y_bnds, np.transpose(comp_grid),cmap=plt.cm.gray, edgecolors='k', linewidths=2,
              alpha=0.3)
    if bar:
        cax, _ = cbar.make_axes(ax,location='left')
        cb = cbar.ColorbarBase(cax, cmap=plt.cm.gray)
        cb.set_label('Competence')
        cax.yaxis.set_ticks_position('left')
        cax.yaxis.set_label_position('left') 

# 需要導入模塊: from matplotlib import colorbar [as 別名]
# 或者: from matplotlib.colorbar import make_axes [as 別名]
def plot_gmm(weights, means, covariances, X=None, ax=None, xlim=[0,1], ylim=[0,1], xlabel='', ylabel='',
             bar=True, bar_side='right',no_y=False, color=None):
    ft_off = 15

    ax = ax or plt.gca()
    cmap = truncate_colormap(plt.cm.autumn_r, minval=0.2,maxval=1.0)
    #colors = [plt.cm.jet(i) for i in X[:, -1]]
    if X is not None:
        colors = [cmap(i) for i in X[:, -1]]
        sizes = [5+np.interp(i,[0,1],[0,10]) for i in X[:, -1]]
        ax.scatter(X[:, 0], X[:, 1], c=colors, s=sizes, zorder=2)
        #ax.axis('equal')
    w_factor = 0.6 / weights.max()
    for pos, covar, w in zip(means, covariances, weights):
        draw_ellipse(pos, covar, alpha=0.6, ax=ax, color=color)

    #plt.margins(0, 0)
    ax.set_xlim(left=xlim[0], right=xlim[1])
    ax.set_ylim(bottom=ylim[0], top=ylim[1])
    if bar:
        cax, _ = cbar.make_axes(ax, location=bar_side, shrink=0.8)
        cb = cbar.ColorbarBase(cax, cmap=cmap)
        cb.set_label('Absolute Learning Progress', fontsize=ft_off + 5)
        cax.tick_params(labelsize=ft_off + 0)
        cax.yaxis.set_ticks_position(bar_side)
        cax.yaxis.set_label_position(bar_side)
    #ax.yaxis.tick_right()
    if no_y:
        ax.set_yticks([])
    else:
        ax.set_ylabel(ylabel, fontsize=ft_off + 5)
        #ax.yaxis.set_label_position("right")
    ax.set_xlabel(xlabel, fontsize=ft_off + 5)
    ax.tick_params(axis='both', which='major', labelsize=ft_off + 5)
    ax.set_aspect('equal', 'box') 

# 需要導入模塊: from matplotlib import colorbar [as 別名]
# 或者: from matplotlib.colorbar import make_axes [as 別名]
def colorbar(self, mappable, cax=None, ax=None, use_gridspec=True, **kw):
        """
        Create a colorbar for a ScalarMappable instance, *mappable*.

        Documentation for the pylab thin wrapper:
        %(colorbar_doc)s
        """
        if ax is None:
            ax = self.gca()

        # Store the value of gca so that we can set it back later on.
        current_ax = self.gca()

        if cax is None:
            if use_gridspec and isinstance(ax, SubplotBase)  \
                     and (not self.get_constrained_layout()):
                cax, kw = cbar.make_axes_gridspec(ax, **kw)
            else:
                cax, kw = cbar.make_axes(ax, **kw)
        cax._hold = True

        # need to remove kws that cannot be passed to Colorbar
        NON_COLORBAR_KEYS = ['fraction', 'pad', 'shrink', 'aspect', 'anchor',
                             'panchor']
        cb_kw = {k: v for k, v in kw.items() if k not in NON_COLORBAR_KEYS}
        cb = cbar.colorbar_factory(cax, mappable, **cb_kw)

        self.sca(current_ax)
        self.stale = True
        return cb