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It seems your X is pandas.DataFrame and in DataFrame code X[0] searchs column with name 0 but X doesn't have it.

If you want to get row with number 0 then you may need X.iloc[0]

BTW:

When I run

The problem is in the line

arquivo_json = json.dumps(registro_json, indent=2, sort_keys=False)

Which according to the documentation, json.dumps "Serializes obj to a JSON formatted str according to conversion table"

In effect, the problem is that you are serializing the registro_json object twice, and ending up with a str. If you remove the offending line and directly pass registro_json to the gravar_arquivo_json function, everything should work.

Updated code:

For completeness, moving the answer from @Clement in a comment to an answer:

This error can happen when loading the oscrypto (libcrypto) if the memory usage is too high. The OOM state cascades upward.

if your test_dict does not have an 'x' inside it's keys, then you will get the error. You should use: if 'x' in test_dict instead of if test_dict['x'] or:

I recommend you to test the function undecorated by @app.callback.

Dash uses functools.wraps for creating callbacks (source code). This means we have access to the __wrapped__ attribute on the store_row_selection function.

The __wrapped__ attribute gives us the original underlying function, store_row_selection in this case:

Note that in this tutorial he calls set_index() so that he can reference rows by the text in the column using the code xldata["ColTitle"]["RowTitle2"]. But you're passing the names of two different columns! You probably mean something like xl_value = xldata["Ziel"]["G2"].

In the mentioned article it is described to ged rid of the KeyError with the .get() keyword. What i do not understand is how i would implement this in my code.

Using .get() like this is the wrong solution. The advantage of .get() is that if the key does not exist, you will get some other object back instead of an error. This is the wrong solution in this situtation, because you want to use a key which does exist. If you use .get(), it will prevent the error, but the output will not be correct.

Instead, you need to change what key you use. One thing that you can do which is helpful to understand what keys you are allowed to provide is to print out the value of the Series. Example:

this pulls the Date into the index. Using ipython, you can see the index is already datetime. If you need to call an index, the syntax is different.

The problem occurs because you are not specifying the column to transform correctly. In this line:

How about: