當前位置: 首頁>>代碼示例>>Python>>正文


Python Axes.violinplot方法代碼示例

本文整理匯總了Python中matplotlib.axes.Axes.violinplot方法的典型用法代碼示例。如果您正苦於以下問題:Python Axes.violinplot方法的具體用法?Python Axes.violinplot怎麽用?Python Axes.violinplot使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在matplotlib.axes.Axes的用法示例。


在下文中一共展示了Axes.violinplot方法的4個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: violinplot

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import violinplot [as 別名]
def violinplot(dataset, positions=None, vert=True, widths=0.5, showmeans=False,
               showextrema=True, showmedians=False, points=100, bw_method=None,
               hold=None):
    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.violinplot(dataset, positions=positions, vert=vert,
                            widths=widths, showmeans=showmeans,
                            showextrema=showextrema, showmedians=showmedians,
                            points=points, bw_method=bw_method)
        draw_if_interactive()
    finally:
        ax.hold(washold)

    return ret

# This function was autogenerated by boilerplate.py.  Do not edit as
# changes will be lost 
開發者ID:miloharper,項目名稱:neural-network-animation,代碼行數:24,代碼來源:pyplot.py

示例2: violinplot

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import violinplot [as 別名]
def violinplot(dataset, positions=None, vert=True, widths=0.5, showmeans=False,
               showextrema=True, showmedians=False, points=100, bw_method=None,
               hold=None, data=None):
    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.violinplot(dataset, positions=positions, vert=vert,
                            widths=widths, showmeans=showmeans,
                            showextrema=showextrema, showmedians=showmedians,
                            points=points, bw_method=bw_method, data=data)
    finally:
        ax._hold = washold

    return ret

# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 
開發者ID:alvarobartt,項目名稱:twitter-stock-recommendation,代碼行數:26,代碼來源:pyplot.py

示例3: violinplot

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import violinplot [as 別名]
def violinplot(
        dataset, positions=None, vert=True, widths=0.5,
        showmeans=False, showextrema=True, showmedians=False,
        points=100, bw_method=None, *, data=None):
    return gca().violinplot(
        dataset=dataset, positions=positions, vert=vert,
        widths=widths, showmeans=showmeans, showextrema=showextrema,
        showmedians=showmedians, points=points, bw_method=bw_method,
        data=data)

# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 
開發者ID:Relph1119,項目名稱:GraphicDesignPatternByPython,代碼行數:13,代碼來源:pyplot.py

示例4: violinplot

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import violinplot [as 別名]
def violinplot(
        dataset, positions=None, vert=True, widths=0.5,
        showmeans=False, showextrema=True, showmedians=False,
        points=100, bw_method=None, *, data=None):
    return gca().violinplot(
        dataset, positions=positions, vert=vert, widths=widths,
        showmeans=showmeans, showextrema=showextrema,
        showmedians=showmedians, points=points, bw_method=bw_method,
        **({"data": data} if data is not None else {}))


# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 
開發者ID:holzschu,項目名稱:python3_ios,代碼行數:14,代碼來源:pyplot.py


注:本文中的matplotlib.axes.Axes.violinplot方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台,相關代碼片段篩選自各路編程大神貢獻的開源項目,源碼版權歸原作者所有,傳播和使用請參考對應項目的License;未經允許,請勿轉載。