Python源码示例:matplotlib.axes.Axes.hist2d()

示例1
def hist2d(x, y, bins=10, range=None, normed=False, weights=None, cmin=None,
           cmax=None, hold=None, **kwargs):
    ax = gca()
    # allow callers to override the hold state by passing hold=True|False
    washold = ax.ishold()

    if hold is not None:
        ax.hold(hold)
    try:
        ret = ax.hist2d(x, y, bins=bins, range=range, normed=normed,
                        weights=weights, cmin=cmin, cmax=cmax, **kwargs)
        draw_if_interactive()
    finally:
        ax.hold(washold)
    sci(ret[-1])
    return ret

# This function was autogenerated by boilerplate.py.  Do not edit as
# changes will be lost 
示例2
def hist2d(x, y, bins=10, range=None, normed=False, weights=None, cmin=None,
           cmax=None, hold=None, **kwargs):
    ax = gca()
    # allow callers to override the hold state by passing hold=True|False
    washold = ax.ishold()

    if hold is not None:
        ax.hold(hold)
    try:
        ret = ax.hist2d(x, y, bins=bins, range=range, normed=normed,
                        weights=weights, cmin=cmin, cmax=cmax, **kwargs)
        draw_if_interactive()
    finally:
        ax.hold(washold)
    sci(ret[-1])
    return ret

# This function was autogenerated by boilerplate.py.  Do not edit as
# changes will be lost 
示例3
def hist2d(x, y, bins=10, range=None, normed=False, weights=None, cmin=None,
           cmax=None, hold=None, **kwargs):
    ax = gca()
    # allow callers to override the hold state by passing hold=True|False
    washold = ax.ishold()

    if hold is not None:
        ax.hold(hold)
    try:
        ret = ax.hist2d(x, y, bins=bins, range=range, normed=normed,
                        weights=weights, cmin=cmin, cmax=cmax, **kwargs)
        draw_if_interactive()
    finally:
        ax.hold(washold)
    sci(ret[-1])
    return ret

# This function was autogenerated by boilerplate.py.  Do not edit as
# changes will be lost 
示例4
def hist2d(x, y, bins=10, range=None, normed=False, weights=None, cmin=None,
           cmax=None, hold=None, data=None, **kwargs):
    ax = gca()
    # Deprecated: allow callers to override the hold state
    # by passing hold=True|False
    washold = ax._hold

    if hold is not None:
        ax._hold = hold
        from matplotlib.cbook import mplDeprecation
        warnings.warn("The 'hold' keyword argument is deprecated since 2.0.",
                      mplDeprecation)
    try:
        ret = ax.hist2d(x, y, bins=bins, range=range, normed=normed,
                        weights=weights, cmin=cmin, cmax=cmax, data=data,
                        **kwargs)
    finally:
        ax._hold = washold
    sci(ret[-1])
    return ret

# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 
示例5
def hist2d(
        x, y, bins=10, range=None, normed=False, weights=None,
        cmin=None, cmax=None, *, data=None, **kwargs):
    __ret = gca().hist2d(
        x=x, y=y, bins=bins, range=range, normed=normed,
        weights=weights, cmin=cmin, cmax=cmax, data=data, **kwargs)
    sci(__ret[-1])
    return __ret

# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 
示例6
def hist2d(
        x, y, bins=10, range=None, normed=False, weights=None,
        cmin=None, cmax=None, *, data=None, **kwargs):
    __ret = gca().hist2d(
        x, y, bins=bins, range=range, normed=normed, weights=weights,
        cmin=cmin, cmax=cmax, **({"data": data} if data is not None
        else {}), **kwargs)
    sci(__ret[-1])
    return __ret


# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 
示例7
def hist2d(
        x, y, bins=10, range=None, normed=False, weights=None,
        cmin=None, cmax=None, *, data=None, **kwargs):
    __ret = gca().hist2d(
        x, y, bins=bins, range=range, normed=normed, weights=weights,
        cmin=cmin, cmax=cmax, **({"data": data} if data is not None
        else {}), **kwargs)
    sci(__ret[-1])
    return __ret


# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 
示例8
def hist2d(
        x, y, bins=10, range=None, density=False, weights=None,
        cmin=None, cmax=None, *, data=None, **kwargs):
    __ret = gca().hist2d(
        x, y, bins=bins, range=range, density=density,
        weights=weights, cmin=cmin, cmax=cmax, **({"data": data} if
        data is not None else {}), **kwargs)
    sci(__ret[-1])
    return __ret


# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.