32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
import os
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import pandas as pd
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import matplotlib.pyplot as plt
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import seaborn as sns
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from .basePlotAnalysis import BasePlotAnalysis
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from flask import current_app, url_for
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import matplotlib
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matplotlib.use('Agg')
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class PlotPeakHours(BasePlotAnalysis):
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name = "Peak Hours Analysis"
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description = "Identifies peak activity hours using a bar chart."
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plot_filename = "peak_hours.png"
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note = ""
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def transform_data(self, df: pd.DataFrame) -> pd.DataFrame:
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"""Transform data to add was_active column and extract peak hours"""
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return df
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def plot_data(self, df: pd.DataFrame):
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"""Generate bar chart for peak hours"""
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peak_hours = df[df["was_active"]]["hour"].value_counts().sort_index()
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plt.figure(figsize=(12, 5))
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sns.barplot(x=peak_hours.index, y=peak_hours.values, hue=peak_hours.values, palette="coolwarm")
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plt.xlabel("Hour of the Day")
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plt.ylabel("Activity Count")
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plt.title("Peak Hours of User Activity")
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plt.xticks(range(0, 24))
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