| acos(x) |
Return the arc cosine (measured in radians) of x. [extrait de acos.__doc__] |
| asin(x) |
Return the arc sine (measured in radians) of x. [extrait de asin.__doc__] |
| atan(x) |
Return the arc tangent (measured in radians) of x. [extrait de atan.__doc__] |
| bisect_left(a, x, lo=0, hi=None, *, key=None) |
Return the index where to insert item x in list a, assuming a is sorted. [extrait de bisect_left.__doc__] |
| bisect_right(a, x, lo=0, hi=None, *, key=None) |
Return the index where to insert item x in list a, assuming a is sorted. [extrait de bisect_right.__doc__] |
| correlation(x, y, /, *, method='linear') |
Pearson's correlation coefficient [extrait de correlation.__doc__] |
| cos(x) |
Return the cosine of x (measured in radians). [extrait de cos.__doc__] |
| cosh(x) |
Return the hyperbolic cosine of x. [extrait de cosh.__doc__] |
| covariance(x, y) |
Covariance [extrait de covariance.__doc__] |
| erf(x) |
Error function at x. [extrait de erf.__doc__] |
| exp(x) |
Return e raised to the power of x. [extrait de exp.__doc__] |
| fabs(x) |
Return the absolute value of the float x. [extrait de fabs.__doc__] |
| fmean(data, weights=None) |
Convert data to floats and compute the arithmetic mean. [extrait de fmean.__doc__] |
| fsum(seq) |
Return an accurate floating-point sum of values in the iterable seq. [extrait de fsum.__doc__] |
| geometric_mean(data) |
Convert data to floats and compute the geometric mean. [extrait de geometric_mean.__doc__] |
| harmonic_mean(data, weights=None) |
Return the harmonic mean of data. [extrait de harmonic_mean.__doc__] |
| hypot |
hypot(*coordinates) -> value [extrait de hypot.__doc__] |
| isfinite(x) |
Return True if x is neither an infinity nor a NaN, and False otherwise. [extrait de isfinite.__doc__] |
| isinf(x) |
Return True if x is a positive or negative infinity, and False otherwise. [extrait de isinf.__doc__] |
| kde(data, h, kernel='normal', *, cumulative=False) |
Kernel Density Estimation: Create a continuous probability density [extrait de kde.__doc__] |
| kde_random(data, h, kernel='normal', *, seed=None) |
Return a function that makes a random selection from the estimated [extrait de kde_random.__doc__] |
| linear_regression(x, y, /, *, proportional=False) |
Slope and intercept for simple linear regression. [extrait de linear_regression.__doc__] |
| log |
log(x, [base=math.e]) [extrait de log.__doc__] |
| mean(data) |
Return the sample arithmetic mean of data. [extrait de mean.__doc__] |
| median(data) |
Return the median (middle value) of numeric data. [extrait de median.__doc__] |
| median_grouped(data, interval=1.0) |
Estimates the median for numeric data binned around the midpoints [extrait de median_grouped.__doc__] |
| median_high(data) |
Return the high median of data. [extrait de median_high.__doc__] |
| median_low(data) |
Return the low median of numeric data. [extrait de median_low.__doc__] |
| mode(data) |
Return the most common data point from discrete or nominal data. [extrait de mode.__doc__] |
| multimode(data) |
Return a list of the most frequently occurring values. [extrait de multimode.__doc__] |
| namedtuple(typename, field_names, *, rename=False, defaults=None, module=None) |
Returns a new subclass of tuple with named fields. [extrait de namedtuple.__doc__] |
| pstdev(data, mu=None) |
Return the square root of the population variance. [extrait de pstdev.__doc__] |
| pvariance(data, mu=None) |
Return the population variance of ``data``. [extrait de pvariance.__doc__] |
| quantiles(data, *, n=4, method='exclusive') |
Divide *data* into *n* continuous intervals with equal probability. [extrait de quantiles.__doc__] |
| reduce |
reduce(function, iterable[, initial], /) -> value [extrait de reduce.__doc__] |
| sin(x) |
Return the sine of x (measured in radians). [extrait de sin.__doc__] |
| sqrt(x) |
Return the square root of x. [extrait de sqrt.__doc__] |
| stdev(data, xbar=None) |
Return the square root of the sample variance. [extrait de stdev.__doc__] |
| sumprod(p, q) |
Return the sum of products of values from two iterables p and q. [extrait de sumprod.__doc__] |
| tan(x) |
Return the tangent of x (measured in radians). [extrait de tan.__doc__] |
| variance(data, xbar=None) |
Return the sample variance of data. [extrait de variance.__doc__] |
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