38 lines
848 B
Python
38 lines
848 B
Python
# ---
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# jupyter:
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# jupytext:
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# formats: ipynb,py:percent
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# text_representation:
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# extension: .py
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# format_name: percent
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# format_version: '1.3'
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# jupytext_version: 1.11.2
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# kernelspec:
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# display_name: straw2analysis
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# language: python
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# name: straw2analysis
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# ---
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# %%
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import os
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import sys
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nb_dir = os.path.split(os.getcwd())[0]
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if nb_dir not in sys.path:
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sys.path.append(nb_dir)
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import participants.query_db
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from features.esm import *
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# %%
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df_esm_nokia = get_esm_data(["nokia_0000003"])
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print(df_esm_nokia)
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# %%
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df_esm_nokia_json = pd.json_normalize(df_esm_nokia["esm_json"]).drop(columns=["esm_trigger"])
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df_esm_nokia_full = df_esm_nokia.join(df_esm_nokia_json)
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# %%
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df_esm_nokia_full.loc[df_esm_nokia_full["esm_user_answer"].str.contains("Remove"),"esm_user_answer"].value_counts()
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# %%
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