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ImportCSV problems with Pandas

I imported a CSV to pandas. However, when I try to use various model packages the cannot coerce one of the columns to float. When I try to do it manually I cannot coerce it either. When I try to check the types of all of my columns, I get the error message below. Any idea whats going on?
values = pd.read_csv(".../train_values.csv")
values.dtypes()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: 'Series' object is not callable

dtypes is an attribute of the pd.Series not a function. You can access the type by running
values.dtypes

Error processing a csv file in Keras

I'm working on building an LSTM recurrent neural network that processes a set of texts and uses them to predict the author of new texts. I have a CSV file containing a single column of long text entries that is comma separated like this:
"sample text here","more text here","extra text written here"
This goes on for a few thousand entries. I'm trying to load this so I can feed it through the Keras Tokenizer and then use it in training my model but I'm stuck on an error originating on the first call to the Tokenizer where it kicks back with
Traceback (most recent call last):
File "test.py", line 35, in <module>
t.fit_on_texts(X_train)
File "I:\....text.py",
line 175, in fit_on_texts
self.split)
File "I:\....text.py",
line 47, in text_to_word_sequence
text = text.translate(translate_map)
AttributeError: 'numpy.ndarray' object has no attribute 'translate'
I'm very new to python, but as far as I can tell the issue is that the Tokenizer is expecting strings, but it's getting passed an ndarray instead. What I can't seem to manage is finding a way to pass it the correct thing, and I would really appreciate any advice. I've been working on this for a couple days now and it's just not coming to me.
Here's the relevant section of my code:
X_train = pandas.read_csv('I:\\xTrain.csv', sep=",", header=None, error_bad_lines=False).as_matrix()
t = Tokenizer(lower=False)
t.fit_on_texts(X_train)
t.texts_to_matrix(X_train, mode='count', lower=False)
I've tried reading it in a variety of ways, including using numpy.loadtxt. The error has varied a bit with the methods, but it's always that I'm trying to feed the wrong kind of input to the Tokenizer and I can't seem to work out how to get the right kind. What am I missing here? Thanks for taking the time to read!
Update
With help from furas, I discovered that my array was two columns wide and have successfully removed the second empty column. Unfortunately, this seems to have simply changed the error I'm getting slightly. It now reads:
Traceback (most recent call last):
File "test.py", line 36, in <module>
t.fit_on_texts(X_train)
File "I:\....text.py",
line 175, in fit_on_texts
self.split)
File "I:\....text.py",
line 47, in text_to_word_sequence
text = text.translate(translate_map)
AttributeError: 'numpy.int64' object has no attribute 'translate'
The only change is that numpy.ndarray is now numpy.int64. It looks to me like this is an int array now, even though it contains strings of text, so I'm attempting to find a way to convert it into a string array.
del X_train[1]
X_train[0] = Y_train[0].apply(str)
Is the code I've tried so far. The first line strips the extra column, but the second line seems to do nothing. I'm still trying to figure out how to get this data into the proper format.

'module' object has no attribute 'date_range' in python

I am learning pandas in Python.Below is my code in Terimal:
import pandas as pd
dates = pd.date_range('20130101', periods=6)
Then I get this message:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: 'module' object has no attribute 'date_range'
How to solve this problem?

You can't find date_range because you're using pandas version 0.7.0, which is very old (~9 Feb 2012) in pandas time-- the current stable version (29 Jan 2015) is 0.15.2.
You're going to want to upgrade, not only because of bug fixes and new features, but because many of the examples you're going to find on the web won't work for you otherwise.

Installing the latest version of XLRD

I am already using an xlrd package. The code I am working on always returns an error message:
Traceback (most recent call last):
File "diffoct8.py", line 17, in <module>
row = rs.get(row_number)
AttributeError: 'Sheet' object has no attribute 'get'
What could be the problem?
Is there a newer version of XLRD?. If yes, how can I install it in Ubuntu?

Here you can get latest xlrd package. https://pypi.python.org/pypi/xlrd
From my understanding, you just want to get information from a row in a sheet. I assume there are 10 elements in a row.
Try this:
...
element_num = 10
row = []
for i in xrange(element_num):
row.append(rs.cell(row_number, i).value)
...

The method get() does not exist (It was purely used to show the approach you should take and where the problem was in your previous question). I've update my answer to that question to show you how you should use the row() method, as instructed in the documentation.

How to convert from Python date to Excel date using xlrd (attribute xlrd.xldate_from_date_tuple does not exist)

How to convert from Python date to Excel date using xlrd module? How to convert a python datetime.datetime to excel serial date number suggests a 'manual' solution, I wonder if it is the best way.
Xlrd document suggests to use xlrd.xldate_from_date_tuple
but
>>> import xlrd
>>> xlrd.xldate_from_date_tuple
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: 'module' object has no attribute 'xldate_from_date_tuple'
Could you help? Thanks.

Use xlrd.xldate.xldate_from_date_tuple