ImportError: Missing optional dependency 'S3Fs'. The S3Fs package is required to handle S3 files. Use pip or conda to install S3Fs

I am using AWS Cloud9 as my IDE.

import boto3
import pandas as pd
# import s3fs
# s3_ob=boto3.resource('s3',aws_access_key_id="xxxxxxxxxx",aws_secret_access_key="xxxxxxxxxxxx")
client=boto3.client('s3')
path="s3://xxxxxx/FL_insurance_sample.csv"

df=pd.read_csv(path)
# df.head()
print(df)`

While I am able to get the output CSV file in Pycharm, when I use the same code in Cloud9 IDE on AWS I get the error mentioned in title.

I have installed the S3Fs using the pip install S3Fs and when I do "pip list" it does give me the list installed which contains S3Fs so I am confused, why am I getting this error when the module is already installed and it shows in the pip list, and I also tried uncommenting the import S3Fs and still the same error is there.

Please help me.

Installed the s3fs package using pip. It was showing up in pip list. But it did not show up when I did: conda list.

I resolved this problem by doing the following steps:

1. Installed the s3fs dependecy using conda install -c conda-forge s3fs
2. Restarted kernel
3. Imported s3fsand pandas
4. Read the csv file which was in my s3 bucket.

PS: It was library issue.