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Крайзель Андрей. Pandas and EDA #1

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}
],
"source": [
"mask = np.linspace(2, 12, 25).reshape(5,5)\n",
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Должно было быть mask = np.random.uniform(2, 12, (5, 5))

"print(True if p_inf in a else False)\n",
"for el in range(len(a)):\n",
" if a[el] == p_inf:\n",
" a[el] = 0\n",
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Вместо цикла лучше применять
a = np.where(np.isnan(a) | np.isinf(a), 0, a)

"b = np.isnan(np.sum(a))\n",
"print(b)\n",
"p_inf = float('inf')\n",
"print(True if p_inf in a else False)\n",
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Лучше использовать функцию Numpy np.isinf(a)

@railbotan
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railbotan commented Mar 5, 2022

5 балла

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В 4-5 задании перепутали для среднеквадратических значений, взяли из dataframe_1, а надо было dataframe_2.

@railbotan
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В 6 задании
ed = ['Bachelors', 'Prof-school', 'Assoc-acdm', 'Assoc-voc', 'Masters', 'Doctorate']
print(data[data.education.isin(ed)].salary.value_counts()['<=50K'] == 0)

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5 баллов

@AnesVijay AnesVijay changed the title Крайзель Андрей Крайзель Андрей. Pandas and EDA Mar 18, 2022
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В задании №3 можно сделать так:
df_2 = data[(data["Year"] == 2000) & (data["Sex"] == "F") & (data["Sport"] == "Tennis")]

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@railbotan railbotan closed this Mar 19, 2022
@railbotan railbotan reopened this Mar 19, 2022
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2 participants