str.contains pandas 返回 'str' 对象没有使用 pandas 的新属性 'contains'

Question

I am new to Pandas and been looking at this for a few days now, at a point where I need help. I have the following code and it is throwing the following error:

AttributeError: ("'str' object has no attribute 'contains'", 'occurred at index 239')

To be honest, I'm not sure where to start debugging, aside from the stuff I've tried. The culprit line is: if row.display_name.contains("(EU)", case=False, regex=False) but I'm not confident that line is the problem. I've tried changing between contains and find but same error. Any help or pointers would be really helpful

  if not discard_known_id.empty:
            discard_known_id["partner"] = discard_known_id.apply(
                lambda row: "Non-inventory user" if (pd.isna(row.partner))
                else (
                    "Non-inventory user (site known)"
                    if row.display_name.contains("(EU)", case=False, regex=False)
                    else row.partner
                ),
                axis=1,
            )

Tried this as well, in addition to find instead of contains

 if not discard_known_id.empty:
            discard_known_id["partner"] = discard_known_id.apply(
                lambda row: "Non-inventory user" if (pd.isna(row.partner))
                else (
                    "Non-inventory user (site known)"
                    if row.display_name.str.contains("(EU)", case=False, regex=False)
                    else row.partner
                ),
                axis=1,
            )

Answer 1

Try changing the line to:

If "EU" in row.display_name.upper():

It looks like you are accessing a singular cell in which case I believe contains is only a pandas method and will not apply.

Answer 2

yes str object does not have contains method in core python.

Pandas is a library which has very useful functionality called Series and DataFrame,

In Series class it has attribute ' str ', through which you can use contains method.

Example :

import pandas as pd 

# Creating the Series 
series1 = pd.Series(['New_Delhi', 'Pune', 'Mumbai', 'Agra', 'Lahore'])
sr[sr.str.contains('N')]

Output

0    New_Delhi
dtype: object

For more information about series.str contain method then visit official site of of pandas library: pandas.Series.str.contains

Answer 3

There is not a contains function in Python that works the way you are trying to use it. There is a str.contains but that works on a series, not a string (hence your error). Instead you can use in .

I'd also add that I think the structure of your code is making your life unnecessarily difficult. Split out your logic into a separate function so you can more easily see what is happening. Here is a proposed solution:

def update_name(row):
    if pd.isna(row.partner):
        return "Non-inventory user"
    elif "(EU)" in row['display_name'].upper():
        return "Non-inventory user (site known)"
    else:
        return row.partner


if not discard_known_id.empty:
    discard_known_id["partner"] = discard_known_id.apply(update_name, axis=1)