python - pandas - 'dataframe' object has no attribute 'str'

Question

I am trying to filter out the dataframe that contains a list of product. However, I am getting the pandas - 'dataframe' object has no attribute 'str' error whenever I run the code.

Here is the line of code:

include_clique = log_df.loc[log_df['Product'].str.contains("Product A")]

If anyone has any ideas of suggestions, please let me know. I've searched many times and I'm quite stuck.

Product is an object datatype.

EDIT:

import __future__
import os
import pandas as pd
import numpy as np
import tensorflow as tf
import math



data = pd.read_csv("FILE.csv", header = None)

headerName=["DRID","Product","M24","M23","M22","M21","M20","M19","M18","M17","M16","M15","M14","M13","M12","M11","M10","M9","M8","M7","M6","M5","M4","M3","M2","M1"] 
cliques = [(Confidential)] 
data.columns=[headerName]


log_df = data

log_df = np.log(1+data[["M24","M23","M22","M21","M20","M19","M18","M17","M16","M15","M14","M13","M12","M11","M10","M9","M8","M7","M6","M5","M4","M3","M2","M1"]])
copy = data[["DRID","Product"]].copy()
log_df = copy.join(log_df)


include_clique = log_df.loc[log_df['Product'].str.contains("Product A")]

Here is the head:

   ID    PRODUCT  M24      M23       M22     M21
0  123421  A  0.000000  0.000000  1.098612  0.0   
1  141840  A  0.693147  1.098612  0.000000  0.0   
2  212006  A  0.693147  0.000000  0.000000  0.0   
3  216097  A  1.098612  0.000000  0.000000  0.0   
4  219517  A  1.098612  0.693147  1.098612  0.0

edit 2: here is print(data), A is the product. it looks like A is not under the category product when I print it out.

     DRID                         Product   M24   M23  M22  M21  M20  
0           52250  A                     0.0   0.0  2.0  0.0  0.0   
1          141840  A                    1.0   2.0  0.0  0.0  0.0   
2          212006  A                      1.0   0.0  0.0  0.0  0.0   
3          216097  A                      2.0   0.0  0.0  0.0  0.0   

Answer 1

Short answer: change data.columns=[headerName] into data.columns=headerName

Explanation: when you set data.columns=[headerName], the columns are MultiIndex object. Therefore, your log_df['Product'] is a DataFrame and for DataFrame, there is no str attribute.

When you set data.columns=headerName, your log_df['Product'] is a single column and you can use str attribute.

For any reason, if you need to keep your data as MultiIndex object, there is another solution: first convert your log_df['Product'] into Series. After that, str attribute is available.

products = pd.Series(df.Product.values.flatten())
include_clique = products[products.str.contains("Product A")]

However, I guess the first solution is what you're looking for