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Convert all labels in MR_df["label"] to numerical labels, using the convert_label function. Be sure to specify the appropriate argument to the direction parameter. Save them as a new column named "Y" in MR_df.

Convert all labels in MR_df["label"] to numerical labels, using the convert_label function. Be sure to specify the appropriate argument to the direction parameter. Save them as a new column named "Y" in MR_df.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Hello I need help with following python problem. I don't know why Im keep getting errors. Please refer 1b to solve the problem. Thank you!

 

1b) Create a function that converts string labels to numerical labels Function name: convert_label The function should do the following: • take two parameters label and direction • if direction is 'tonumber', · and if the input label is "pos" return 1.0 · and if the input label is "neg" return 0.0 • otherwise, return the input label as is • if direction is 'tolabel' and if the input label is 1.0 return "pos" · and if the input label is 0.0 return "neg" otherwise, return the label as is 1 def convert_label(label, direction): "tonumber": if direction if 'pos' in label: return 1.0 elif 'neg' in label: return 0.0 return label if direction "tolabel": if '1.0' in label: return 'pos' elif '0,0' in label: return 'neg' else: 10 11 12 13 14 15 return label 1 assert convert_label 1 assert callable(convert_label) H N 3 4567 ∞0 o d NM
Transcribed Image Text:1b) Create a function that converts string labels to numerical labels Function name: convert_label The function should do the following: • take two parameters label and direction • if direction is 'tonumber', · and if the input label is "pos" return 1.0 · and if the input label is "neg" return 0.0 • otherwise, return the input label as is • if direction is 'tolabel' and if the input label is 1.0 return "pos" · and if the input label is 0.0 return "neg" otherwise, return the label as is 1 def convert_label(label, direction): "tonumber": if direction if 'pos' in label: return 1.0 elif 'neg' in label: return 0.0 return label if direction "tolabel": if '1.0' in label: return 'pos' elif '0,0' in label: return 'neg' else: 10 11 12 13 14 15 return label 1 assert convert_label 1 assert callable(convert_label) H N 3 4567 ∞0 o d NM
Convert all labels in MR_df["label"] to numerical labels, using the convert_label function. Be sure to specify the appropriate argument to the direction parameter. Save them as a new column named "Y" in MR_df. 1 # YOUR CODE HERE 2 df['MR_df']=[convert_label(x,'tonumber') for Y in df[MR_df]] NameError Traceback (most recent call last) /tmp/ipykernel_456/4234017543.py in <module> 1 # YOUR CODE HERE -> 2 df['MR_df']=[convert_label(x, 'tonumber')for Y in df [MR_df]] NameError: name 'df' is not defined 1 assert sorted (set (MR_df['Y'])) [0., 1.] Traceback (most recent call last) KeyError /opt/conda/lib/python3.9/site-packages/pandas/core/indexes/base.py in get_loc(self, key, me thod, tolerance) 3360 try: return self._engine.get_loc(casted_key) except KeyError as err: -> 3361 3362 /opt/conda/lib/python3.9/site-packages/pandas/_libs/index.pyx in pandas._libs.index.IndexEn gine.get_loc( ) /opt/conda/lib/python3.9/site-packages/pandas/_libs/index.pyx in pandas._libs.index.IndexEn gine.get_loc() pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Py0bjectHashTable.get_ite m() pandas/_libs/hashtable_class_helper.pxi in pandas. libs.hashtable.Py0bjectHashTable.get_ite m( ) КeyError: 'Y" The above exception was the direct cause of the following exception: КeyError /tmp/ipykernel_456/2394443215.py in <module> ----> 1 assert sorted (set (MR_df['Y'])). Traceback (most recent call last) [0., 1.]
Transcribed Image Text:Convert all labels in MR_df["label"] to numerical labels, using the convert_label function. Be sure to specify the appropriate argument to the direction parameter. Save them as a new column named "Y" in MR_df. 1 # YOUR CODE HERE 2 df['MR_df']=[convert_label(x,'tonumber') for Y in df[MR_df]] NameError Traceback (most recent call last) /tmp/ipykernel_456/4234017543.py in <module> 1 # YOUR CODE HERE -> 2 df['MR_df']=[convert_label(x, 'tonumber')for Y in df [MR_df]] NameError: name 'df' is not defined 1 assert sorted (set (MR_df['Y'])) [0., 1.] Traceback (most recent call last) KeyError /opt/conda/lib/python3.9/site-packages/pandas/core/indexes/base.py in get_loc(self, key, me thod, tolerance) 3360 try: return self._engine.get_loc(casted_key) except KeyError as err: -> 3361 3362 /opt/conda/lib/python3.9/site-packages/pandas/_libs/index.pyx in pandas._libs.index.IndexEn gine.get_loc( ) /opt/conda/lib/python3.9/site-packages/pandas/_libs/index.pyx in pandas._libs.index.IndexEn gine.get_loc() pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Py0bjectHashTable.get_ite m() pandas/_libs/hashtable_class_helper.pxi in pandas. libs.hashtable.Py0bjectHashTable.get_ite m( ) КeyError: 'Y" The above exception was the direct cause of the following exception: КeyError /tmp/ipykernel_456/2394443215.py in <module> ----> 1 assert sorted (set (MR_df['Y'])). Traceback (most recent call last) [0., 1.]
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