PINE LIBRARY
Cập nhật Library: Array

Library "xarray"
Additional functions for array.
remove_duplicates(array_in)
Remove duplicates in array.
Parameters:
array_in: (int[]/float[]/string[]) Array contains duplicates.
Returns: Array without duplicates.
// Example: int
import tuele99/xarray/1 as xarray
c = xarray.remove_duplicates(array.from(1, 4, 2, 1, 2))
plot(array.size(c))
plot(array.get(c, 0))
plot(array.get(c, 1))
// Example: float
import tuele99/xarray/1 as xarray
c = xarray.remove_duplicates(array.from(1.0, 4.0, 2.0, 1.0, 2.0))
plot(array.size(c))
plot(array.get(c, 0))
plot(array.get(c, 1))
// Example: string
import tuele99/xarray/1 as xarray
c = xarray.remove_duplicates(array.from("green", "red", "green", "red", "green"))
plot(array.size(c)) // value = 2
label0 = label.new(x=last_bar_index, y=0, yloc=yloc.belowbar, text=array.get(c, 0), style=label.style_label_left, color=color.new(color.black, 100), textcolor=color.green) // below text = "green"
label1 = label.new(x=last_bar_index, y=0, yloc=yloc.abovebar, text=array.get(c, 1), style=label.style_label_left, color=color.new(color.black, 100), textcolor=color.red) // above text = "red"
Additional functions for array.
remove_duplicates(array_in)
Remove duplicates in array.
Parameters:
array_in: (int[]/float[]/string[]) Array contains duplicates.
Returns: Array without duplicates.
// Example: int
import tuele99/xarray/1 as xarray
c = xarray.remove_duplicates(array.from(1, 4, 2, 1, 2))
plot(array.size(c))
plot(array.get(c, 0))
plot(array.get(c, 1))
// Example: float
import tuele99/xarray/1 as xarray
c = xarray.remove_duplicates(array.from(1.0, 4.0, 2.0, 1.0, 2.0))
plot(array.size(c))
plot(array.get(c, 0))
plot(array.get(c, 1))
// Example: string
import tuele99/xarray/1 as xarray
c = xarray.remove_duplicates(array.from("green", "red", "green", "red", "green"))
plot(array.size(c)) // value = 2
label0 = label.new(x=last_bar_index, y=0, yloc=yloc.belowbar, text=array.get(c, 0), style=label.style_label_left, color=color.new(color.black, 100), textcolor=color.green) // below text = "green"
label1 = label.new(x=last_bar_index, y=0, yloc=yloc.abovebar, text=array.get(c, 1), style=label.style_label_left, color=color.new(color.black, 100), textcolor=color.red) // above text = "red"
Phát hành các Ghi chú
v2Added:
remove_duplicates(array_in_1, array_in_2)
Remove duplicates in 2 arrays.
Parameters:
array_in_1: (int[]/float[]/string[]) Array contains duplicates.
array_in_2: (int[]/float[]/string[]) Array contains duplicates.
Returns: 2 arrays without duplicates.
Phát hành các Ghi chú
v3Fix bug.
// Example: lib(int, float)
import tuele99/xarray/3 as xarray
[c, d] = xarray.remove_duplicates(array.from(1, 1, 2, 2, 3), array.from(4.0, 4.0, 5.0, 6.0, 7.0))
plot(array.size(c))
plot(array.get(c, 0))
plot(array.get(c, 1))
plot(array.size(d))
plot(array.get(d, 0))
plot(array.get(d, 1))
// Example: lib(int, string)
import tuele99/xarray/3 as xarray
[c, d] = xarray.remove_duplicates(array.from(1, 2, 1, 2, 2), array.from("green", "red", "green", "red", "green"))
plot(array.size(d)) // value = 3
label0 = label.new(x=last_bar_index, y=0, yloc=yloc.belowbar, text=array.get(d, 2), style=label.style_label_left, color=color.new(color.black, 100), textcolor=color.green) // below text = "green"
label1 = label.new(x=last_bar_index, y=0, yloc=yloc.abovebar, text=array.get(d, 1), style=label.style_label_left, color=color.new(color.black, 100), textcolor=color.red) // above text = "red"
Phát hành các Ghi chú
v4Change syntax.
remove_duplicates(int[] array_in_out)
remove_duplicates(float[] array_in_out)
remove_duplicates(string[] array_in_out)
remove_duplicates(int[] array_in_out_1, float[] array_in_out_2)
remove_duplicates(float[] array_in_out_1, int[] array_in_out_2)
remove_duplicates(int[] array_in_out_1, string[] array_in_out_2)
remove_duplicates(string[] array_in_out_1, int[] array_in_out_2)
remove_duplicates(float[] array_in_out_1, string[] array_in_out_2)
remove_duplicates(string[] array_in_out_1, float[] array_in_out_2)
remove_duplicates(int[] array_in_out_1, int[] array_in_out_2)
remove_duplicates(float[] array_in_out_1, float[] array_in_out_2)
remove_duplicates(string[] array_in_out_1, string[] array_in_out_2)
// Example: lib(int, float)
import tuele99/xarray/4 as xarray
c = array.from(1, 1, 2, 2, 3)
d = array.from(4.0, 4.0, 5.0, 6.0, 7.0)
xarray.remove_duplicates(c, d)
plot(array.size(c)) // 4
plot(array.get(c, 0)) // 1
plot(array.get(c, 1)) // 2
plot(array.size(d)) // 4
plot(array.get(d, 0)) // 4.0
plot(array.get(d, 1)) // 5.0
Phát hành các Ghi chú
v5Updated: Remove 3D duplicates.
remove_duplicates(int[] array_in_out_1, float[] array_in_out_2, bool[] array_in_out_3)
Phát hành các Ghi chú
v6Added:
remove_duplicates(float[] array_in_out_1, int[] array_in_out_2, bool[] array_in_out_3)
remove_duplicates(int[] array_in_out_1, float[] array_in_out_2, string[] array_in_out_3)
remove_duplicates(float[] array_in_out_1, int[] array_in_out_2, string[] array_in_out_3)
Thư viện Pine
In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in publications is governed by House Rules.
Public Indicators: tinyurl.com/26emm5e2
Disclaimer: tinyurl.com/4rtrwhfd
Disclaimer: tinyurl.com/4rtrwhfd
Thông báo miễn trừ trách nhiệm
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Thư viện Pine
In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in publications is governed by House Rules.
Public Indicators: tinyurl.com/26emm5e2
Disclaimer: tinyurl.com/4rtrwhfd
Disclaimer: tinyurl.com/4rtrwhfd
Thông báo miễn trừ trách nhiệm
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.