Question

以下是jason数据示例。

id  opened_date      title       exposure state

1  06/11/2014 9:28 AM Device rebooted and crashed with error 0x024 critical open

2  06/11/2014 7:12 AM Not able to connect to WiFi                  High     open

3  07/23/2014 2:11 PM Sensor failed to recognize movement          Low open

4  07/07/2014 5:20 PM When sensor activated, device rebooted with error 0x024 critical closed

我想用输入作为字符串编写代码，输出应指向ID。

例如：

Input String = Sensor : Output = ID 3 and 4 has 'Sensor' word in it
Input String = 0x024  : Output = ID 1 and 4 has '0x024' in it.

我猜这需要某种groupby，但它适用于完整的数据集而不是字符串。这可能是pandas还是有其他更好的解决方案来分析它？

Answer 1

您可以使用loc按参数case=False创建的条件str.contains进行选择。如果您需要list，请使用tolist：

li = ['Sensor','0x024']

for i in li:
    print (df.loc[df['title'].str.contains(i, case=False),'id'].tolist())
    [3, 4]
    [1, 4]

对于存储，您可以使用dict理解：

dfs = { i: df.loc[df['title'].str.contains(i, case=False),'id'].tolist() for i in li }

print (dfs['Sensor'])
[3, 4]
print (dfs['0x024'])
[1, 4]

如果您需要function，请尝试get_id：

def get_id(id):
    ids = df.loc[df['title'].str.contains(id, case=False),'id'].tolist()
    return "Input String = %s : Output = ID " % id + 
            " and ".join(str(x) for x in ids) + 
            " has '%s' in it." % id

print (get_id('Sensor'))
Input String = Sensor : Output = ID 3 and 4 has 'Sensor' in it.

print (get_id('0x024'))
Input String = 0x024 : Output = ID 1 and 4 has '0x024' in it.

通过评论编辑：

现在它更复杂，因为使用逻辑and：

def get_multiple_id(ids):
    #split ids and crete list of boolean series containing each id
    ids1 = [df['title'].str.contains(x, case=False) for x in ids.split()]
    #http://stackoverflow.com/a/20528566/2901002
    cond = np.logical_and.reduce(ids1)

    ids = df.loc[cond,'id'].tolist()
    return "Input String = '%s' : Output = ID " % id +
           ' and '.join(str(x) for x in ids) +
           " has '%s' in it." % id

print (get_multiple_id('0x024 Sensor'))
Input String = '0x024 Sensor' : Output = ID 4 has '0x024 Sensor' in it.

如果使用逻辑or，则会更容易，因为or中的re为|，因此您可以使用0x024|Sensor：

def get_multiple_id(id):
    ids = df.loc[df['title'].str.contains(id.replace(' ','|'), case=False),'id'].tolist()
    return "Input String = '%s' : Output = ID " % id +
            ' and '.join(str(x) for x in ids) +
            " has '%s' in it." % id

print (get_multiple_id('0x024 Sensor'))
Input String = '0x024 Sensor' : Output = ID 1 and 3 and 4 has '0x024 Sensor' in it.

如何使用pandas在一行中找到重复的单词？

1 个答案: