Key error: '3' When extracting data from Pandas DataFrame - pandas

Question

My code plan is as follows:
1) find csv files in folder using glob and create a list of files
2) covert each csv file into dataframe
3) extract data from a column location and convert into a separate dataframe
4) append the new data into a separate summary csv file
code is as follows:
Result = []
def result(filepath):
files = glob.glob(filepath)
print files
dataframes = [pd.DataFrame.from_csv(f, index_col=None) for f in files]
new_dfb = pd.DataFrame()
for i, df in enumerate(dataframes):
colname = 'Run {}'.format(i+1)
selected_data = df['3'].ix[0:4]
new_dfb[colname] = selected_data
Result.append(new_dfb)
folder = r"C:/Users/Joey/Desktop/tcd/summary.csv"
new_dfb.to_csv(folder)
result("C:/Users/Joey/Desktop/tcd/*.csv")
print Result
The code error is shown below. The issue seems to be with line 36 .. which corresponds to the selected_data = df['3'].ix[0:4].
I show one of my csv files below:
I'm not sure what the problem is with the dataframe constructor?

Answer 1

You're csv snippet is a bit unclear. But as suggested in the comments, read_csv (from_csv in this case) automatically taken the first row as a list of headers. The behaviour you appear to want is the columns to be labelled as 1,2,3 etc. To achieve this you need to have
[pd.DataFrame.from_csv(f, index_col=None,header=None) for f in files]