在模糊模糊中使用 Process.extract 和所有最大相似选择

本文介绍了在模糊模糊中使用 Process.extract 和所有最大相似选择的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

我有以下输入-

query = 'Total replenishment lead time (in workdays)'
choices = ['PLANNING_TIME_FENCE_CODE', 'BUILD_IN_WIP_FLAG','Lead_time_planning', 'Total replenishment lead time 1', 'Total replenishment lead time  2']
print(process.extract(query, choices))

我得到以下输出-

[('Total replenishment lead time 1', 92), ('Total replenishment lead time  2', 92), ('Lead_time_planning', 50), ('PLANNING_TIME_FENCE_CODE', 36), ('BUILD_IN_WIP_FLAG', 26)]

但我只想要所有具有最大相似率的最佳选择，即使两个选择的比率相似.

But I just want all the best choices with a maximum similarity ratio even if the ratio is similar for two choices.

请帮忙.

推荐答案

如果我理解您的问题是正确的，您希望收到以下输出:

If I understand your question correct you would like to receive the following output:

[('Total replenishment lead time 1', 92), ('Total replenishment lead time  2', 92)]

您可以通过过滤 process.extract

matches = process.extract(query, choices, limit=None)
max_ratio = matches[0][1]
best_matches = []
for match in matches:
  if match[1] != max_ratio:
    break
  best_matches.append(match)

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