Question

我正在编写需要在字符串中找到子字符串的代码。如果字符串较短，则效果很好，但对于很长的长字符串列表，则不起作用。我该如何解决？

例如，对于此代码，它可以工作：

import pandas as pd

data1 = {'spike-2': ["yesnoyesno", "chairchairchair"],
        'hey spke': ["maybe maybe maybe", "yes no yes"],
        'no': ["aaaaa...VALUE...govora","yesno"]}

df1 = pd.DataFrame(data1)

new_data1 = df1.to_string(header=False,
                  index=False,
                  index_names=False).split('\n')

#print(new_data1)

for i in new_data1:

    if 'VALUE' in i:
        print('found!')

但是对于此代码，它不起作用：

data2 = {'spike-2': ["yesno   yesno yesno  yes  no yesnoyesno yesnoyesno yesnoyesno", "chairchairchair    chairchairchair    chairchairchair   chairchairchair "],
        'hey spke': ["maybe maybe maybe", "yes nyes no ye...VALUE...syes no yesyes no yesyes no yesyes no yeso yes"],
        'no': ["yes no yesyes no yes yesyes yesyes yes no yes  yes no yesaaaaa...VALUE...govora","yesno"]}

df2 = pd.DataFrame(data2)

new_data2 = df2.to_string(header=False,
                  index=False,
                  index_names=False).split('\n')

print(new_data2)

for i in new_data2:

    if 'VALUE' in i:
        print('found!')

Answer 1

针对您的data2：

df2 = pd.DataFrame(data2)

result = df2.apply(lambda x: x.str.contains('VALUE'))

给予result：

   spike-2  hey spke     no
0    False     False   True
1    False     False  False

您可以按行查看结果：

result.any(axis=1)

0    True
1    False
dtype: bool

或按列：

result.any()

spike-2     False
hey spke    False
no           True
dtype: bool

是您想要的吗？

如果在熊猫Python中字符串太长，则找不到子字符串

1 个答案: