dc_listings<"price">.str.replace(",", "")AttributeError: have the right to only usage .str accessor with string values, which usage np.object_ dtype in pandasHere space the top 5 rows of my price column.

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This ridge overflow thread recommends to inspect if my column has NAN values however non the the values in my column are NAN.

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You are watching: Can only use .str accessor with string values, which use np.object_ dtype in pandas

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As the error states, you deserve to only use .str v string columns, and also you have actually a float64. There won"t be any type of commas in a float, for this reason what you have actually won"t really do anything, however in general, you could actors it first:

dc_listings<"price">.astype(str).str.replace...For example:

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Two ways:

You can use series to deal with this error.

dc_listings<"price">.series.str.replace(",", "")And if series doesn"t work you can additionally alteratively usage apply(str) as shown below:

dc_listings<"price">.apply(str).str.replace(",", "")

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If price is a dtype to rise 64 climate the data is not a string.You can shot dc_listings<"price">.apply(function)


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AttributeError: deserve to only usage .str accessor v string values, which use np.object_ dtype in pandas (Python)


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