Error: pandas hashtable keyerror

Question

I have successfully read a csv file using pandas. When I am trying to print the a particular column from the data frame i am getting keyerror. Hereby i am sharing the code w

Answer 1

dfObj['Hash Key'] = (dfObj['DEAL_ID'].map(str) +dfObj['COST_CODE'].map(str) +dfObj['TRADE_ID'].map(str)).apply(hash)

#for index, row in dfObj.iterrows():
#        dfObj.loc[`enter code here`index,'hash'] = hashlib.md5(str(row[['COST_CODE','TRADE_ID']].values)).hexdigest()

print(dfObj['hash'])

Answer 2

I think first is best investigate, what are real columns names, if convert to list better are seen some whitespaces or similar:

print (reviews_new.columns.tolist())

---

I think there can be 2 problems (obviously):

1.whitespaces in columns names (maybe in data also)

Solutions are strip whitespaces in column names:

reviews_new.columns = reviews_new.columns.str.strip()

Or add parameter skipinitialspace to read_csv:

reviews_new = pd.read_csv("D:\\aviva.csv", skipinitialspace=True)

2.different separator as default ,

Solution is add parameter sep:

#sep is ;
reviews_new = pd.read_csv("D:\\aviva.csv", sep=';')
#sep is whitespace
reviews_new = pd.read_csv("D:\\aviva.csv", sep='\s+')
reviews_new = pd.read_csv("D:\\aviva.csv", delim_whitespace=True)

EDIT:

You get whitespace in column name, so need 1.solutions:

print (reviews_new.columns.tolist())
['Name', ' Date', ' review'] 
          ^        ^

Answer 3

import pandas as pd
df=pd.read_csv("file.txt", skipinitialspace=True)
df.head()
df['review']