Dataframe Object Has No Attribute Map

Dataframe Object Has No Attribute Map AttributeError DataFrame object has no attribute map Ask Question Asked 7 years 3 months ago Modified 2 years 10 months ago Viewed 146k times 51 I wanted to convert the spark data frame to add using the code below

However I am getting the pandas dataframe object has no attribute str error whenever I run the code Here is the line of code include clique log df loc log df Product str contains Product A Product is an object datatype You are getting the error dataframe object has no attribute map because the map function cannot be applied to the dataframes Let s create a sample dataframe to demonstrate this example import pandas as pd data col1 10 20 30 col2 40 50 60 df pd DataFrame data print df Output Sample dataframe for map error

Dataframe Object Has No Attribute Map

Dataframe Object Has No Attribute Map
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1 upper and lower dataframes have two columns called Date You are extracting both by using upper Date Solution Rename at least one of the columns to sth different than date and than apply your function to each column seperately 7 Answers Sorted by 63 Check your DataFrame with data columns It should print something like this Index u regiment u company u name u postTestScore dtype object Check for hidden white spaces Then you can rename with data data rename columns Number Number Share Improve this answer Follow answered Jul 1 2016 at 2 51

Here are three ways to fix the AttributeError DataFrame object has no attribute map error Using the map function single column Using the applymap function on an entire DataFrame Using the apply function on an Axis of the DataFrame Reproduce the error PySpark DataFrame doesn t have a map transformation instead it s present in RDD hence you are getting the error AttributeError DataFrame object has no attribute map So first Convert PySpark DataFrame to RDD using df rdd apply the map transformation which returns an RDD and Convert RDD to DataFrame back let s see with an example

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This method applies a function that accepts and returns a scalar to every element of a DataFrame Parameters funccallable Python function returns a single value from a single value na action None ignore default None If ignore propagate NaN values without passing them to func kwargs The problem is with attribute c that is shown and says dataframe has not it it may be a little problem but i do not know how to fix I posted the related code here the class it s usage and it s error

There seems to be a to table function but a few tests of it haven t yielded anything helpful Export the dataframe to a text file using pandas DataFrame to csv Add the CSV as a content item using arcgis gis ContentManager add Use arcgis gis Item publish to publish the newly added CSV as a hosted service 5 Answers Sorted by 2 sklearn datasets is a scikit package where it contains a method load iris load iris by default return an object which holds data target and other members in it In order to get actual values you have to read the data and target content itself Whereas iris csv holds feature and target together

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Dataframe Object Has No Attribute Map - 1 upper and lower dataframes have two columns called Date You are extracting both by using upper Date Solution Rename at least one of the columns to sth different than date and than apply your function to each column seperately