RicardoSantos

MathStatisticsKernelDensityEstimation

Library "MathStatisticsKernelDensityEstimation"
(KDE) Method for Kernel Density Estimation

kde(observations, kernel, bandwidth, nsteps)
Parameters:
  • observations: float array, sample data.
  • kernel: string, the kernel to use, default='gaussian', options='uniform', 'triangle', 'epanechnikov', 'quartic', 'triweight', 'gaussian', 'cosine', 'logistic', 'sigmoid'.
  • bandwidth: float, bandwidth to use in kernel, default=0.5, range=(0, +inf), less will smooth the data.
  • nsteps: int, number of steps in range of distribution, default=20, this value is connected to how many line objects you can display per script.
Returns: tuple with signature: (float array, float array)

draw_horizontal(distribution_x, distribution_y, distribution_lines, graph_lines, graph_labels) Draw a horizontal distribution at current location on chart.
Parameters:
  • distribution_x: float array, distribution points x value.
  • distribution_y: float array, distribution points y value.
  • distribution_lines: line array, array to append the distribution curve lines.
  • graph_lines: line array, array to append the graph lines.
  • graph_labels: label array, array to append the graph labels.
Returns: void, updates arrays: distribution_lines, graph_lines, graph_labels.

draw_vertical(distribution_x, distribution_y, distribution_lines, graph_lines, graph_labels) Draw a vertical distribution at current location on chart.
Parameters:
  • distribution_x: float array, distribution points x value.
  • distribution_y: float array, distribution points y value.
  • distribution_lines: line array, array to append the distribution curve lines.
  • graph_lines: line array, array to append the graph lines.
  • graph_labels: label array, array to append the graph labels.
Returns: void, updates arrays: distribution_lines, graph_lines, graph_labels.

style_distribution(lines, horizontal, to_histogram, line_color, line_style, linewidth) Style the distribution lines.
Parameters:
  • lines: line array, distribution lines to style.
  • horizontal: bool, default=true, if the display is horizontal(true) or vertical(false).
  • to_histogram: bool, default=false, if graph style should be switched to histogram.
  • line_color: color, default=na, if defined will change the color of the lines.
  • line_style: string, defaul=na, if defined will change the line style, options=('na', line.style_solid, line.style_dotted, line.style_dashed, line.style_arrow_right, line.style_arrow_left, line.style_arrow_both)
  • linewidth: int, default=na, if defined will change the line width.
Returns: void.

style_graph(lines, lines, horizontal, line_color, line_style, linewidth) Style the graph lines and labels
Parameters:
  • lines: line array, graph lines to style.
  • lines: labels array, graph labels to style.
  • horizontal: bool, default=true, if the display is horizontal(true) or vertical(false).
  • line_color: color, default=na, if defined will change the color of the lines.
  • line_style: string, defaul=na, if defined will change the line style, options=('na', line.style_solid, line.style_dotted, line.style_dashed, line.style_arrow_right, line.style_arrow_left, line.style_arrow_both)
  • linewidth: int, default=na, if defined will change the line width.
Returns: void.
Perpustakaan Pine

Di dalam semangat sebenar TradingView, pengarang telah menerbitkan kod Pine ini sebagai perpustakaan sumber terbuka, jadi pengaturcara-pengaturcara Pine yang lain dari komuniti kami boleh menggunakannya semula. Sorakan kepada penulis! Anda boleh menggunakan perpustakaan ini secara peribadi atau pada penerbitan-penerbitan sumber terbuka lain, tetapi penggunaan semula kod ini di dalam penerbitan adalah ditadbir oleh Peraturan Dalaman.

Penafian

Maklumat dan penerbitan adalah tidak dimaksudkan untuk menjadi, dan tidak membentuk, nasihat untuk kewangan, pelaburan, perdagangan dan jenis-jenis lain atau cadangan yang dibekalkan atau disahkan oleh TradingView. Baca dengan lebih lanjut di Terma Penggunaan.

Mahu gunakan perpustakaan ini?

Salin garisan ini dan tampalkan ia di dalam skrip anda.