62 строки
2.0 KiB
Python
62 строки
2.0 KiB
Python
from decimal import Decimal
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import pandas as pd
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import numpy as np
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import matplotlib.pyplot as plt
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import validate_data_ref
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import validate_data_test
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df_count = pd.DataFrame(
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validate_data_test.counts, columns=["submission_date", "test"]
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).merge(pd.DataFrame(validate_data_ref.counts, columns=["submission_date", "ref"]))
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df_sum = pd.DataFrame(
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validate_data_test.sums, columns=["submission_date", "sum_test", "count_test"]
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).merge(
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pd.DataFrame(
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validate_data_ref.sums, columns=["submission_date", "sum_ref", "count_ref"]
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)
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)
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df_gc_ms = pd.DataFrame(
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validate_data_test.gc_ms, columns=["submission_date", "test"]
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).merge(pd.DataFrame(validate_data_ref.gc_ms, columns=["submission_date", "ref"]))
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# hack, because something changed
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df_gc_ms.test = df_gc_ms.test.apply(np.array)
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df_gc_ms.ref = df_gc_ms.ref.apply(np.array)
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df_count["err"] = abs(df_count.test - df_count.ref) / df_count.ref * 100
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df_sum["sum_err"] = abs(df_sum.sum_test - df_sum.sum_ref) / df_sum.sum_ref * 100
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df_sum["count_err"] = abs(df_sum.count_test - df_sum.count_ref) / df_sum.count_ref * 100
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df_gc_ms["err"] = abs(df_gc_ms.test - df_gc_ms.ref) / df_gc_ms.ref * 100
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print(df_count)
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print(df_sum[["sum_test", "sum_ref", "sum_err"]])
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print(df_sum[["count_test", "count_ref", "count_err"]])
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x = np.arange(len(df_gc_ms.test.values[0][:-2]))
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plt.subplot(221)
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plt.title(f"{df_gc_ms.submission_date[0]}: test vs ref")
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plt.plot(x, df_gc_ms.test.values[0][:-2])
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plt.plot(x, df_gc_ms.ref.values[0][:-2])
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plt.subplot(222)
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plt.title(f"{df_gc_ms.submission_date[1]}: test vs ref")
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plt.plot(x, df_gc_ms.test.values[1][:-2])
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plt.plot(x, df_gc_ms.ref.values[1][:-2])
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plt.subplot(223)
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plt.title(f"test: {df_gc_ms.submission_date[0]} vs {df_gc_ms.submission_date[1]}")
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plt.plot(x, df_gc_ms.test.values[0][:-2])
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plt.plot(x, df_gc_ms.test.values[1][:-2])
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plt.subplot(224)
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plt.title(f"ref: {df_gc_ms.submission_date[0]} vs {df_gc_ms.submission_date[1]}")
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plt.plot(x, df_gc_ms.ref.values[0][:-2])
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plt.plot(x, df_gc_ms.ref.values[1][:-2])
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plt.savefig("results.png")
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