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This article mainly explains "how to use pandas to read table data files", the content of the article is simple and clear, easy to learn and understand, the following please follow the editor's ideas slowly in depth, together to study and learn "how to use pandas to read table data files" bar!

The code is implemented as follows:

# # how to use pandas to read tabular data files? Import pandas as pd# reads the data split by tab in TSV files. Here the delimiter sep is specified as\ torders = pd.read_csv ('data.tsv',sep='\ t') orders# get the lines at the beginning of the table orders.head () # read files with arbitrary suffixes File contents are divided by vertical bar movies = pd.read_csv ('movie.user') movies.head () # specify the delimiter sep as | movies = pd.read_csv (' movie.user',sep=' |') movies.head () # add the header line user_clos = ['user_id','age','gender','occupation','zip_code'] movies = pd.read_csv (' movie.user',sep=' |', header=None) to the data \ names=user_clos) movies.head (10) Thank you for your reading The above is the content of "how to use pandas to read table data files". After the study of this article, I believe you have a deeper understanding of how to use pandas to read table data files, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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