assert_1D_numpy_array(something[, name])
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Assert that something is a 1D numpy array |
assert_2D_numpy_array(something[, name])
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Assert that something is a 2D numpy array. |
assert_array_length(something, length[, name])
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Assert that something is a 1D of length length. |
check_Vs_profile_format(data)
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Check that data is in a valid format as a Vs profile (i.e., 2D numpy array, two or five columns, non-negative or positive values, etc.) |
check_length_or_extend_to_array(something, ...)
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Check that something is a 1D numpy array with length length, or if something is a single value, extend it to a 1D numpy array whose length is length and elements are all something. |
check_numbers_valid(array)
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Check the contents in array is valid (i.e., are numbers, are not infinite, are positive). |
check_two_column_format(something[, name, ...])
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Check that something is a 2D numpy array with two columns. |
detect_OS()
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Check which operating system is currently running. |
extend_scalar(scalar, length)
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"Extend" a scalar (float, int, or numpy.number type) into a 1D numpy array whose length is length and whose elements are all scalar. |
extract_from_curve_format(curves[, ...])
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Extract G/Gmax and damping curves from a "curve formatted" 2D numpy array. |
extract_from_param_format(params)
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Extract soil constitutive model parameters from a 2D numpy array. |
find_closest_index(array, value)
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Find the index in array corresponding to the value closest to the given value. |
get_current_time([for_filename])
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Get current time as a string (e.g., 2001-01-01 23:59:59). |
interpolate(x_query_min, x_query_max, n_pts, ...)
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Interpolate data (x_ref and y_ref) at x query points defined by x_query_min, x_query_max, and n_pts. |
is_int(number)
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Check that a number represents an integer value. |
mean_absolute_error(y_true, y_pred)
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Calculate the mean squared error between ground truth and prediction. |
merge_curve_matrices(GGmax_matrix, xi_matrix)
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Merge G/Gmax curves matrix and damping curves matrix. |
read_two_column_stuff(data[, delta, sep])
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Process "data" into a two-columned "data_". |