I have 20-30 csv files to be read.
So, I try the below code
pat_dir = ['file*.csv']
files_grabbed = []
for files in pat_dir:
files_grabbed.extend(glob.glob(files))
for f in files_grabbed:
df = pd.read_csv(f, sep=",",low_memory=False)
print(f)
print(df.columns)
And printing them gives an output like below
file1.csv
Index(['Date', 'Code', 'Test', 'value', 'unit', 'TextualResults',
'subject_id', 'class_id', 'Unnamed: 8',
'Unnamed: 9', 'Unnamed: 10', 'Unnamed: 11', 'Unnamed: 12',
'Unnamed: 13', 'Unnamed: 14', 'Unnamed: 15', 'Unnamed: 16',
'Unnamed: 17', 'Unnamed: 18', 'Unnamed: 19', 'Unnamed: 20',
'Unnamed: 21', 'Unnamed: 22', 'Unnamed: 23', 'Unnamed: 24',
'Unnamed: 25', 'Unnamed: 26', 'Unnamed: 27', 'Unnamed: 28',
'Unnamed: 29', 'Unnamed: 30', 'Unnamed: 31', 'Unnamed: 32',
'Unnamed: 33', 'Unnamed: 34', 'Unnamed: 35', 'Unnamed: 36',
'Unnamed: 37', 'Unnamed: 38', 'Unnamed: 39', 'Unnamed: 40',
'Unnamed: 41', 'Unnamed: 42', 'Unnamed: 43', 'Unnamed: 44',
'Unnamed: 45', 'Unnamed: 46', 'Unnamed: 47', 'Unnamed: 48',
'Unnamed: 49', 'Unnamed: 50'],
While I can avoid the unnamed columns after read.csv using below code
df = df.loc[:, ~df.columns.str.contains('^Unnamed')]
How can I avoid reading those unnamed column during read.csv operation?
Please note that I don't know the column names before hand. So, I can't define column names to read.csv. because each file can have different column names
So, is there any way to drop them during read.csv operation because I have 30 files, and this causes issues during glob operation?