7 examples of 'matplotlib multiple plots same figure' in Python

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def __prepare_plot_with_matplotlib(
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        wrange, figsize, grid, wireframe, noaxis):
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    import matplotlib.pyplot as plt
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    fig = plt.figure(figsize=(figsize, figsize))
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    ax = fig.gca()
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    ax.set_aspect('equal')
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    # if wireframe:
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    #     ax.w_xaxis.set_pane_color((0, 0, 0, 0))
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    #     ax.w_yaxis.set_pane_color((0, 0, 0, 0))
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    #     ax.w_zaxis.set_pane_color((0, 0, 0, 0))
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    ax.grid(grid)
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    ax.set_xlim(*wrange['x'])
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    ax.set_ylim(*wrange['y'])
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    ax.set_xlabel('X')
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    ax.set_ylabel('Y')
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    if noaxis:
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        ax.set_axis_off()
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    return (fig, ax)

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def plot(X, y, title, min_label, maj_label, filename):
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    plt.figure(figsize= (4, 3))
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    plt.scatter(X[:,0][y == min_label], X[:,1][y == min_label], label='minority class', color='red', s=25)
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    plt.scatter(X[:,0][y == maj_label], X[:,1][y == maj_label], label='majority class', color='black', marker='*', s=25)
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    plt.xlabel('feature 0')
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    plt.ylabel('feature 1')
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    plt.title(title)
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    plt.legend()
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    plt.tight_layout()
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    plt.savefig(filename)
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    plt.show()

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def decorate_singleplot(ax, **kwarg):
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    ax.axis('tight')
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    ax.set_yscale('log')
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    ax.set(**kwarg)

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def subplot(self, axes, subfigure):
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    """
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    Draw a line plot on an :class:`matplotlib.axes` instance. The
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    data and labels are contained in a tuple. This will plot two
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    lines and a grey range (for displaying uncertainty). A grid is
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    added with a call to :meth:`RangeFigure.addGrid`.
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    :param axes: :class:`matplotlib.axes` instance.
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    :param tuple subfigure: Holds the data and labels to be added
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                            to the subplot.
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    """
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    xdata, y1, y2, y2max, y2min, xlabel, ylabel, title = subfigure
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    axes.plot(xdata, y1, color='r', lw=2, label="")
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    axes.plot(xdata, y2, color='k', lw=2, label="")
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    self.addRange(axes, xdata, y2min, y2max)
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    axes.set_xlabel(xlabel)
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    axes.set_ylabel(ylabel)
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    axes.set_title(title)
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    axes.autoscale(True, axis='x', tight=True)
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    self.addGrid(axes)

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def plots(ims, figsize=(16, 8), rows=None, cols=None, interp=False, titles=None):
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    plt.figure(figsize=figsize)
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    cols, num_splits, rows = _set_params(cols, rows)
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    tmp_num_splits = len(ims) // num_splits
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    if tmp_num_splits * num_splits < len(ims):
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        tmp_num_splits += 1
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    for i in range(len(ims)):
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        if rows is not None:
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            sp = plt.subplot(num_splits, tmp_num_splits, i + 1)
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        if cols is not None:
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            sp = plt.subplot(tmp_num_splits, num_splits, i + 1)
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        sp.axis('Off')
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        if titles is not None:
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            sp.set_title(titles[i], fontsize=16)
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        plt.imshow(ims[i], interpolation=None if interp else 'none')
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    plt.show()

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def subplot(self, axes, subfigure):
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    """
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    Draw a range-compare plot on an :class:`matplotlib.axes`
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    instance, with a logarithmic scale on the x-axis. Data and
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    labels are contained in a tuple. x-ticks presented as integer
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    values. A grid is added with a call to
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    :meth:`RangeFigure.addGrid`.
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    :param axes: :class:`matplotlib.axes` instance.
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    :param tuple subfigure: Holds the data and labels to be added
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                            to the subplot.
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    """
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    xdata, y1, y2, y2max, y2min, xlabel, ylabel, title = subfigure
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    axes.semilogx(xdata, y1, color='r', lw=2, label="", subsx=xdata)
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    axes.semilogx(xdata, y2, color='k', lw=2, label="", subsx=xdata)
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    self.addRange(axes, xdata, y2min, y2max)
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    ylim = (0., np.max([100, np.ceil(y2.max()/10.)*10.]))
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    axes.set_ylim(ylim)
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    axes.set_xlabel(xlabel)
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    axes.set_ylabel(ylabel)
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    axes.set_title(title)
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    self.addGrid(axes)

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def draw_plot(figure_label, x, y, i_labels, fnme, name, left_legend=False):
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    """
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        "blues": 0,
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        "country": 1,
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        "jazz": 2,
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        "pop": 3,
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        "rock": 4,
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        "classical": 5,
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        "disco": 6,
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        "hiphop": 7,
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        "metal": 8,
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        "reggae": 9
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    """
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    colors = root.colors
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    fig = pp.figure(figure_label)
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    ax = fig.add_subplot(111)
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    # ax.set_ylim(0, 1)
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    ax.set_title(name if len(name) else fnme, fontsize=root.title_fontsize)
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    for i in range(len(y)):
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        ax.plot(x, y[i], color=colors[i], label=i_labels[i], linewidth=4)
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    ax.fill_between(x, y[0], 0, color=colors[0])
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    for i in range(1, len(y)):
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        ax.fill_between(x, y[i], y[i - 1], color=colors[i])
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    if left_legend:
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        ax.legend(ncol=3, loc=2)
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    else:
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        ax.legend(ncol=3)