You can use the read_csv() function from the Pandas library to read a flat file in Python. This function can handle a wide variety of file formats, including CSV, TSV, and other types of delimiter-separated files.
Here is an example of how to use read_csv() to read a CSV file:
import pandas as pd
df = pd.read_csv("data.csv")
Here is an example of how to use read_csv() to read a TSV file:
import pandas as pd
df = pd.read_csv("data.tsv", sep="\t")
You can also use the read_csv() function to specify additional options, such as the encoding of the file, the index column, or whether to skip rows. For example:
import pandas as pd
df = pd.read_csv("data.csv", encoding="utf-8", index_col=0, skiprows=[1, 2])
For more information on the read_csv() function and its various options, you can refer to the Pandas documentation.
If you found this post useful, please don't forget to share and leave a comment a below.
