If header=None , column names are assigned as integer indices and first line of the file is read as first row of the DataFrame: df = pd.read_csv("SampleDataset.csv", header=None) df.head() So we can set header=None and use skiprows but keep in mind that the first line includes the column names. pd.read_csv('file.csv', header = None, prefix = 'Column ') In huge CSV files, it’s often beneficial to only load specific columns into memory. Read a CSV File using Pandas Before going to the method to rename a column in pandas lets first read a CSV file to demonstrate it. Method 1: Using pandas. Read a CSV file and give custom column names You can give custom column names to your dataframe when reading a CSV file using the read_csv() function. read_csv ( csvfile_path, skiprows, names, na_values) csvfile_path= “location of the csv file” (Saved in your system / online) skiprows =value; is an argument that allows you to specify the number of lines to skip at the start of the file. Get code examples like "pandas read_csv change column names" instantly right from your google search results with the Grepper Chrome Extension. pandas read_csv 4 column pandas read_csv 4 column names pandas read csv assign dtype pd.read_CSV{} pandas read_csv no index pd.readcsv() parse_dates pandas example missing= true pd.read_csv date_parser pandas Delphi queries related to “pandas read_csv change column names” index_col int, str, sequence of 列名を明示的に指定せずに本当に簡潔なものが必要な場合は、次のようにします。.csvファイルの各行が1行である1列のDataFrameを作成します 各行をコンマで分割し、データフレームを展開します df = pd.read_fwf('