WebFeb 21, 2024 · The only parameter to read_csv () that you can use to select the columns you use is usecols. According to the documentation, usecols accepts list-like or callable. Because you only know the columns you want to drop, you can't use a list of the columns you want to keep. So use a callable: pd.read_csv ("sample.csv", usecols=lambda x: x … WebJan 3, 2024 · This function returns set (usecols) so the dupe column is removed by design. If you think about it, that makes sense, as a good practice should be to parse once the …
pandas.read_excel — pandas 2.0.0 documentation
WebJan 20, 2024 · import pandas as pd import glob path = r'path/' # use your path all_files = glob.glob (path + "/*.csv") fields = ['ColA', 'ColB', 'ColC'] first_one = True for filename in … WebJan 3, 2024 · col = ['B', 'C', 'E', 'F', 'G', 'H'] dflist = pd.read_excel (f, sheet_name=None, usecols = col) It is the header=None that is stripping off the column names so that usecols is not able to use it. Share Improve this answer Follow edited Jan 3, 2024 at 13:14 answered Jan 3, 2024 at 13:00 davidbilla 2,080 1 15 24 malet immobilier serre chevalier
pandas.read_csv — pandas 2.0.0 documentation
WebJan 30, 2024 · The usecols specifies which columns to be read from the txt file. It reads only the first and second column from the txt file into the array. Example Codes: Set unpack Parameter in numpy.loadtxt () Function While Reading txt Files WebJan 7, 2024 · 1 I have this code, where i concatenate 12 csv files and I choose the desired columns from the concatenated file and then re-save it, my problem is when I have some columns it works fine, but when i start choosing more columns I get the following error, I will upload the code before and after along with the error. This code works fine Webusecolssequence, optional Which columns to read, with 0 being the first. For example, usecols = (1, 4, 5) will extract the 2nd, 5th and 6th columns. names{None, True, str, sequence}, optional If names is True, the field names are read from the first line after the first skip_header lines. This line can optionally be preceded by a comment delimiter. crédit agricole filiali lecce