'DataFrame' object has no attribute

Question

I would like to build a classifier of tweets using Python 3. I got the following error:

AttributeError: 'DataFrame' object has no attribute 'id'

when I ran the following code:

train_df['id'] = train_df.id.apply(lambda x: int(x))
train_df['friends_count'] = train_df.friends_count.apply(lambda x: int(x))
train_df['followers_count'] = train_df.followers_count.apply(lambda x: 0 if x=='None' else int(x))
train_df['friends_count'] = train_df.friends_count.apply(lambda x: 0 if x=='None' else int(x))

The dataset looks like

and it is a csv file. I would like to have a list of all the columns in the dataset rather than scrolling manually. I checked the version of panda and it seems to be already updated. I am pretty new in using Python, so I hope you can help me to figure out what I am doing wrong. Thanks

EDIT:

AttributeError                            Traceback (most recent call last)
<ipython-input-32-13c1484f8b58> in <module>
      2 train_df = df.copy()
      3 #train_df['id'] = train_df.id.apply(lambda x: int(x))
----> 4 train_df['friends_count'] = train_df.friends_count.apply(lambda x: int(x))
      5 train_df['followers_count'] = train_df.followers_count.apply(lambda x: 0 if x=='None' else int(x))
      6 train_df['friends_count'] = train_df.friends_count.apply(lambda x: 0 if x=='None' else int(x))

/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py in __getattr__(self, name)
   4374         IE10                   404           0.08
   4375         Chrome                 200           0.02
-> 4376 
   4377         >>> df.reindex(new_index, fill_value='missing')
   4378                       http_status response_time

AttributeError: 'DataFrame' object has no attribute 'friends_count'

Answer 1

https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html

Read this article.

You need to learn a bit more about pandas and how it works before the answer to this question would even be helpful.

Answer 2

Currently, your columns are simply shown as 0,1,2,... . You are probably interested to use the first row as column names. You need to first convert the first data row to columns in the following way:

train_df.columns = train_df.iloc[0]

or

train_df.rename(columns=train_df.iloc[0])

Then you will be able to do the current operations you are doing. You can also remove the current header row in the following way:

train_df.drop(train_df.index[0])