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This article mainly introduces "how to delete rows and columns in a table by python". In daily operation, I believe many people have doubts about how to delete rows and columns in a table by python. The editor consulted all kinds of data and sorted out simple and easy-to-use methods of operation. I hope it will be helpful to answer the doubts about "how to delete rows and columns in a table by python". Next, please follow the editor to study!

Specific steps for use:

1. First open the python editor and create a new python project.

2. Use the drop method in the python project to delete rows and columns from the table.

Print (frame.drop (['a'])) # Delete lines

Print (frame.drop (['b'], axis = 1)) # drop function deletes rows by default, and columns need to be axis = 1

Related sample code:

Delete invalid entry

Df [df.isnull ()] # returns a Series object (mask object) of true or false to filter out the specific data we need.

Df [df.notnull ()]

Df.dropna () # Delete all row with nan entry

Df.dropna (axis=1,thresh=3) # removes three items that are NaN in the column direction

Df.dropna (how='ALL') # delete row where all entries are nan

Fill in the vacant item:

Df.fillna (0)

Df.fillna ({1:0, 2 0.5}) # assigns 0 to the value of nann in the first column and 0.5 to the second column

Df.fillna (method='ffill') # the previous value in the column direction is assigned to NaN as a value

At this point, the study on "how to delete rows and columns in the table by python" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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