当前位置: 首页>>代码示例>>Python>>正文


Python Axes.hist2d方法代码示例

本文整理汇总了Python中matplotlib.axes.Axes.hist2d方法的典型用法代码示例。如果您正苦于以下问题:Python Axes.hist2d方法的具体用法?Python Axes.hist2d怎么用?Python Axes.hist2d使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在matplotlib.axes.Axes的用法示例。


在下文中一共展示了Axes.hist2d方法的5个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: hist2d

# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import hist2d [as 别名]
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 
开发者ID:ktraunmueller,项目名称:Computable,代码行数:21,代码来源:pyplot.py

示例2: hist2d

# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import hist2d [as 别名]
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. 
开发者ID:alvarobartt,项目名称:twitter-stock-recommendation,代码行数:24,代码来源:pyplot.py

示例3: hist2d

# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import hist2d [as 别名]
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. 
开发者ID:Relph1119,项目名称:GraphicDesignPatternByPython,代码行数:12,代码来源:pyplot.py

示例4: hist2d

# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import hist2d [as 别名]
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. 
开发者ID:holzschu,项目名称:python3_ios,代码行数:14,代码来源:pyplot.py

示例5: hist2d

# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import hist2d [as 别名]
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. 
开发者ID:boris-kz,项目名称:CogAlg,代码行数:14,代码来源:pyplot.py


注:本文中的matplotlib.axes.Axes.hist2d方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。