如何使用pandas检查csv文件中的特定字符

Question

I'm have read a CSV file into pandas dataframe and trying to find all the sentences that contains the words I'm looking for and when ever finding any of them print it with its original index from the main CSV not a new index. this is the code I'm trying but it gives me an error for some reason

lookfor = '[' + re.escape(",?!.:;'؛؛؟'-)(؛،؛«/") + ']'


tdata = pd.read_csv(fileinput, nrows=0).columns[0]
skip = int(tdata.count(' ') == 0)
tdata = pd.read_csv(fileinput, names=['sentences'], skiprows=skip)

newdata=tdata[tdata['sentences'].str.isin(lookfor)]

print (newdata)


#a sample set
-----------------------------

#hi, how are; you 
#im good thanks
#How ? Is live.
#good, what about ) you/
#my name is alex
#hello, alex how are you !
#im good!
#great news
#thanks!
-----------------------------

it returns this error

newdata=tdata[tdata['sentences'].str.isin(pat)]
AttributeError: 'StringMethods' object has no attribute 'isin'

input data looks like

output I'm expecting is

Answer 1

You probably want the 'contains' method, something like

df = tdata[tdata.sentences.str.contains(pat, regex=True, na=False)]

Full code should look something like;

lookfor = '[' + re.escape(",?!.:;'؛؛؟'-)(؛،؛«/") + ']'

tdata = pd.read_csv(fileinput, nrows=0).columns[0]
skip = int(tdata.count(' ') == 0)
tdata = pd.read_csv(fileinput, names=['sentences'], skiprows=skip)

tdata['row_index'] = 1
tdata['row_index'] = tdata['row_index'].cumsum()

filtered = tdata[tdata.sentences.str.contains(lookfor, regex=True, na=False)]
filtered.to_csv('./my_path.csv', index=False)