Create analyzer.py
Browse files- analyzer.py +15 -0
analyzer.py
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import pandas as pd
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import numpy as np
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class Analyzer:
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def analyze_data(self, df, prompt):
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# This is a simple implementation. In a real-world scenario,
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# you might want to use more sophisticated NLP techniques.
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if "correlation" in prompt.lower():
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return df.corr().to_string()
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elif "summary" in prompt.lower():
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return df.describe().to_string()
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elif "unique" in prompt.lower():
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return {col: df[col].nunique() for col in df.columns}
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else:
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return "I'm sorry, I couldn't understand your analysis request. Please try asking about correlation, summary statistics, or unique values."
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