65 lines
2.4 KiB
Python
65 lines
2.4 KiB
Python
"""
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Functions for constructing irida control graphs using plotly.
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"""
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from datetime import date
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from pprint import pformat
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import logging, plotly.express as px, pandas as pd
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from PyQt6.QtWidgets import QWidget
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from . import CustomFigure
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from tools import get_unique_values_in_df_column
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logger = logging.getLogger(f"submissions.{__name__}")
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class IridaFigure(CustomFigure):
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def __init__(self, df: pd.DataFrame, modes: list, settings: dict, ytitle: str | None = None, parent: QWidget | None = None):
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super().__init__(df=df, modes=modes, settings=settings)
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self.df = df
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self.construct_chart(df=df, modes=modes, start_date=settings['start_date'], end_date=settings['end_date'])
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def construct_chart(self, df: pd.DataFrame, modes: list, start_date: date, end_date:date):
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"""
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Creates a plotly chart for control from a pandas dataframe
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Args:
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end_date ():
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start_date ():
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df (pd.DataFrame): input dataframe of control
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modes (list): analysis modes to construct charts for
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ytitle (str | None, optional): title on the y-axis. Defaults to None.
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Returns:
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Figure: output stacked bar chart.
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"""
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for ii, mode in enumerate(modes):
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if "count" in mode:
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df[mode] = pd.to_numeric(df[mode], errors='coerce')
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color = "genus"
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color_discrete_sequence = None
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elif 'percent' in mode:
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color = "genus"
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color_discrete_sequence = None
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else:
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color = "target"
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match get_unique_values_in_df_column(df, 'target'):
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case ['Target']:
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color_discrete_sequence = ["blue"]
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case ['Off-target']:
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color_discrete_sequence = ['red']
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case _:
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color_discrete_sequence = ['blue', 'red']
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bar = px.bar(df,
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x="submitted_date",
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y=mode,
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color=color,
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title=mode,
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barmode='stack',
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hover_data=["genus", "name", "target", mode],
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text="genera",
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color_discrete_sequence=color_discrete_sequence
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)
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bar.update_traces(visible=ii == 0)
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self.add_traces(bar.data)
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