In a statement like “quotesdf = quotesdf.drop(['date'], axis = )”, the argument of “axis” can only be 0 or 1. “0” represents an operation of a certain column in DataFrame; “1” represents an operation of a certain row in DataFrame.

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2022-05-31 问题

In a statement like “quotesdf = quotesdf.drop(['date'], axis = )”, the argument of “axis” can only be 0 or 1. “0” represents an operation of a certain column in DataFrame; “1” represents an operation of a certain row in DataFrame.

In a statement like “quotesdf = quotesdf.drop(&#91;'date'&#93;, axis = )”, the argument of “axis” can only be 0 or 1. “0” represents an operation of a certain column in DataFrame; “1” represents an operation of a certain row in DataFrame.

In a statement like “quotesdf = quotesdf.drop(['date'], axis = )”, the argument of “axis” can only be 0 or 1. “0” represents an operation of a certain column in DataFrame; “1” represents an operation of a certain row in DataFrame.