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Python Network.grab_df_subset方法代码示例

本文整理汇总了Python中clustergrammer.Network.grab_df_subset方法的典型用法代码示例。如果您正苦于以下问题:Python Network.grab_df_subset方法的具体用法?Python Network.grab_df_subset怎么用?Python Network.grab_df_subset使用的例子?那么, 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clustergrammer.Network的用法示例。


在下文中一共展示了Network.grab_df_subset方法的2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: df_filter_row

# 需要导入模块: from clustergrammer import Network [as 别名]
# 或者: from clustergrammer.Network import grab_df_subset [as 别名]
  def df_filter_row(df, threshold, take_abs=True):
    ''' filter rows in matrix at some threshold
    and remove columns that have a sum below this threshold '''

    from copy import deepcopy
    from clustergrammer import Network
    net = Network()

    if take_abs is True:
      df_copy = deepcopy(df['mat'].abs())
    else:
      df_copy = deepcopy(df['mat'])

    ini_rows = df_copy.index.values.tolist()
    df_copy = df_copy.transpose()
    tmp_sum = df_copy.sum(axis=0)
    tmp_sum = tmp_sum.abs()
    tmp_sum.sort_values(inplace=True, ascending=False)

    tmp_sum = tmp_sum[tmp_sum > threshold]
    keep_rows = sorted(tmp_sum.index.values.tolist())

    if len(keep_rows) < len(ini_rows):
      df['mat'] = net.grab_df_subset(df['mat'], keep_rows=keep_rows)

      if 'mat_up' in df:
        df['mat_up'] = net.grab_df_subset(df['mat_up'], keep_rows=keep_rows)
        df['mat_dn'] = net.grab_df_subset(df['mat_dn'], keep_rows=keep_rows)

    return df
开发者ID:abdohlman,项目名称:clustergrammer,代码行数:32,代码来源:deleting_clustergrammer.py

示例2: df_filter_col

# 需要导入模块: from clustergrammer import Network [as 别名]
# 或者: from clustergrammer.Network import grab_df_subset [as 别名]
  def df_filter_col(df, threshold, take_abs=True):
    ''' filter columns in matrix at some threshold
    and remove rows that have all zero values '''

    from copy import deepcopy
    from clustergrammer import Network
    net = Network()

    if take_abs is True:
      df_copy = deepcopy(df['mat'].abs())
    else:
      df_copy = deepcopy(df['mat'])

    df_copy = df_copy.transpose()
    df_copy = df_copy[df_copy.sum(axis=1) > threshold]
    df_copy = df_copy.transpose()
    df_copy = df_copy[df_copy.sum(axis=1) > 0]

    if take_abs is True:
      inst_rows = df_copy.index.tolist()
      inst_cols = df_copy.columns.tolist()
      df['mat'] = net.grab_df_subset(df['mat'], inst_rows, inst_cols)

    else:
      df['mat'] = df_copy

    return df
开发者ID:abdohlman,项目名称:clustergrammer,代码行数:29,代码来源:deleting_clustergrammer.py


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