Pandas

import pandas as pd

fullCorpus = pd.DataFrame({
  'label': labelList,
  'body_list': textList
})

fullCorpus.head() #print first 5 rows

Access

df['date'] #just date column 
df[df['date'] > '2017-03-20'] # just date columns that meet criteria

Filter

df = df.drop(['high','low','close','volume'], axis=1) #get rid of columns

Indexing

Use X.iloc[0] instead of X[0]

Read in seperated data

fullCorpus = pd.read_csv("file.tsv", sep="\t", header=None)
# header default assumes first row is the column names
fullsCorpus.columns = ['label', 'body_text'] # add columns

Create New Column

pdData['clean_text'] = data['body_text'].apply(lambda x: remove_punct(x))