pandas load dataframe without header
df = pd.read_csv(file_path, header=None)
pandas load dataframe without header
df = pd.read_csv(file_path, header=None)
pandas dataframe without column names
Nope, you're not required to assign column names, nor do you need them to access any element. In [12]: df = pd.DataFrame([0]) In [13]: df.ix[0,0] Out[13]: 0 In [14]: df[0][0] Out[14]: 0 In fact, you can think of the column already having a name -- it is the integer 0. Look at what happens when you provide a name In [15]: df #Before naming the column Out[15]: 0 0 0 In [16]: df.columns = ['ColA'] In [17]: df #Renamed Out[17]: ColA 0 0 In [18]: df['ColA'][0] #Now you can access the column using the new name Out[18]: 0 In [19]: df[0][0] #... but trying the old name will not work --------------------------------------------------------------------------- KeyError Traceback (most recent call last) KeyError: 'no item named 0' You can still use DataFrame.ix just as before, though: In [20]: df.ix[0,0] Out[20]: 0
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