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Other 2022-03-16 23:45:06
Three-dimensional Points and Lines
ax = plt.axes(projection='3d') # Data for a three-dimensional line zline = np.linspace(0, 15, 1000) xline = np.sin(zline) yline = np.cos(zline) ax.plot3D(xline, yline, zline, 'gray') # Data for three-dimensional scattered points zdata = 15 * np.random.r... Add solution -
Other 2022-02-19 23:45:03
how to use validation split data as validation data in callback
x = np.random.randn(150, 9) y = np.random.randint(0, 10, 150) x_train, y_train, x_val, y_val = split(x, y) train_dataset = tf.data.Dataset.from_tensor_slices((x_train, tf.one_hot(y_train, depth=10))) train_dataset = train_dataset.batch(32).repeat() val... Add solution -
Other 2022-02-11 20:15:02
How to shift non nan values up and put nan values down
np.random.seed(100) df = pd.DataFrame(np.random.randn(5,4)) df.iloc[1,2] = np.NaN df.iloc[0,1] = np.NaN df.iloc[2,1] = np.NaN df.iloc[2,0] = np.NaN print (df) 0 1 2 3 0 -1.749765 NaN 1.153036 -0.252436 1 0.981321 ... Add solution -
TypeScript 2021-11-18 02:37:13
ipykernel_launcher.py:3: PerformanceWarning: indexing past lexsort depth may impact performance. This is separate from the ipykernel package so we can avoid doing imports until
arrays = [['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux'], ['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two']] tuples = list(zip(*arrays)) tuples index = pd.MultiIndex.from_tuples(tuples, names=['first', 'second']) index s =... Add solution
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