64 lines
1.6 KiB
Python
64 lines
1.6 KiB
Python
from typing import List
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import plotly.figure_factory as ff
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import pandas as pd
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def generate_plotly_temperature_pdf(ptemps_list: List[list]):
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"""
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Generate plotly graph HTML & raw CSV data for temperature pdf
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ptemps: pixel temperature LIST in order of:
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- Ptemps of firebrands "overview" image
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- Ptemps list for each individual firebrand
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plotname: what to call the plot
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Returns result in form (plot_html, csv_data)
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"""
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# generate prob. distribution histogram & return embed
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labels = ["Full Image"]
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for i in range(len(ptemps_list[1:])):
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labels.append(f"Firebrand {i+1}")
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labels.reverse()
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fig = ff.create_distplot(
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ptemps_list,
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group_labels=labels,
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show_rug=False,
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show_hist=False,
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)
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fig.update_layout(
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autosize=False,
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width=800,
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height=600,
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)
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fig.update_xaxes(
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title_text="Temperature (°C)",
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)
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fig.update_yaxes(
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title_text="Probability (1/°C)",
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)
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freq_plot = fig.to_html()
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# create csv-formatted stuff
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csvstrs = []
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plot_data=fig.to_dict()
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for i in range(len(plot_data["data"])):
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x_data = plot_data["data"][i]["x"]
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y_data = plot_data["data"][i]["y"]
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tdata = [["Temperature", "Frequency"]]
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for i in range(len(x_data)):
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r = []
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r.append(x_data[i])
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r.append(y_data[i])
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tdata.append(r)
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csvstr = pd.DataFrame(tdata).to_csv(index=False, header=False)
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csvstrs.append(csvstr)
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return (
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freq_plot,
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csvstrs
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) |