I’m trying to create lines that auto plot at certain intervals using the line.new() function. So for example every new monthly open there will be lines plotted 5% and 10% above and beneath price. They’re then extended to the right indefinitely.
I then want to have the lines end once high/low has breached the line. I can’t seem to figure how to do this using the line.delete() function, although I doubt this is the correct path to take anyway due to the fact this deletes the entire line rather than just end it at breach point.
Due to the fact lines are extended indefinitely/until price has breached, there may be instances in which lines are never touched and are only removed once the 500 max line limit is reached. So I haven’t figured a way to use array references for lines to find a solution - and the 40 plot limit for pine plots isn’t really a sufficient amount of lines.
If this isn’t possible then just deleting the entire line upon breach is a backup option but I haven’t figure how to do this either!
Any help is much appreciated, thanks in advance!
You can use additional arrays to track the price values and their crossed state more easily. Each element of the arrays corresponds to the values associated with the same line. We add, remove or modify them based on whether a particular line's price value has been crossed or the line limit has been exceeded.
//#version=5
indicator("Monthly Interval Lines", overlay = true, max_lines_count = 500)
var float[] interval_prices = array.new_float()
var line[] interval_lines = array.new_line()
var bool[] intervals_crossed = array.new_bool()
new_month = timeframe.change("M")
if new_month
array.unshift(interval_lines, line.new(x1 = bar_index, y1 = open * 1.05, x2 = bar_index + 1, y2 = open * 1.05, extend = extend.right, color = color.green))
array.unshift(interval_prices, open * 1.05)
array.unshift(intervals_crossed, false)
array.unshift(interval_lines, line.new(x1 = bar_index, y1 = open * 1.10, x2 = bar_index + 1, y2 = open * 1.10, extend = extend.right, color = color.green))
array.unshift(interval_prices, open * 1.10)
array.unshift(intervals_crossed, false)
array.unshift(interval_lines, line.new(x1 = bar_index, y1 = open * 0.95, x2 = bar_index + 1, y2 = open * 0.95, extend = extend.right, color = color.red))
array.unshift(interval_prices, open * 0.95)
array.unshift(intervals_crossed, false)
array.unshift(interval_lines, line.new(x1 = bar_index, y1 = open * 0.90, x2 = bar_index + 1, y2 = open * 0.90, extend = extend.right, color = color.red))
array.unshift(interval_prices, open * 0.90)
array.unshift(intervals_crossed, false)
size = array.size(intervals_crossed)
if size > 0
if size > 500
for i = size - 1 to 500
line.delete(array.pop(interval_lines))
array.pop(intervals_crossed)
size := array.size(intervals_crossed)
for i = 0 to size - 1
price_val = array.get(interval_prices, i)
already_crossed = array.get(intervals_crossed, i)
crossed_price_val = low < price_val and high > price_val
gapped_price_val = (close[1] < price_val and open > price_val) or (close[1] > price_val and open < price_val)
if not already_crossed and (crossed_price_val or gapped_price_val)
array.set(intervals_crossed, i, true)
interval_line = array.get(interval_lines, i)
line.set_extend(interval_line, extend.none)
line.set_x2(interval_line, bar_index)
Related
I am running an mapply loop on a huge set of data to graph 13 parameters for 19 groups. This is working great except the p-value position. Due to the data varying for each plot I cannot assign position using label.y = 125 for example, in some plots it is in the middle of the bar/error bar. However, I can't assign it higher without having it way to high on other graphs. Is there a way to adjust to the data and error bars?
This is my graphing function and like I said the graph is great, except p-value position. Specifically, the stat compare means anova line.
ANOVA_plotter <- function(Variable, treatment, Grouping, df){
Inputdf <- df %>%
filter(Media == treatment, Group == Grouping) %>%
ggplot(aes_(x = ~ID, y = as.name(Variable))) +
geom_bar(aes(fill = ANOVA_Status), stat = "summary", fun = "mean", width = 0.9) +
stat_summary(geom = "errorbar", fun.data = "mean_sdl", fun.args = list(mult = 1), size = 1) +
labs(title = paste(Variable, "in", treatment, "in Group", Grouping, sep = " ")) +
theme(legend.position = "none",axis.title.x=element_blank(), axis.text = element_text(face="bold", size = 18 ), axis.text.x = element_text(angle = 45, hjust = 1)) +
stat_summary(geom = "errorbar", fun.data = "mean_sdl", fun.args = list(mult = 1), width = 0.2) +
stat_compare_means(method = "anova", label.y = 125) +
stat_compare_means(label = "p.signif", method = "t.test", paired = FALSE, ref.group = "Control")
}
I get graphs that look like this
(https://i.stack.imgur.com/hV9Ad.jpg)
But I can't assign it to label.y = 200 because of plots like this
(https://i.stack.imgur.com/uStez.jpg)
When I try to assign colours using colour = "" or fill = """, the graph changes its colour always to the same colour (some kind of weird orange tone). The specific code I used is this:
Plot <- ggplot(data, aes(ymin = 0)) + geom_rect(aes(xmin = left, xmax = right, ymax = a, colour = "#FDFEFE")).
Has anyone had this problem before? It doesn`t seem to matter whether I use the colour names or the HTML codes, the result stays the same.
Thank you!
I just wanted to add some explanation because this also tripped me up when I started using ggplot.
Some toy data:
data <- tibble(a = 1:10, left = 1:10 * 20, right = 1:10 * 20 + 10)
As explained by #stefan, you need to set the hard-coded color outside of the aestetics:
ggplot(data, aes(ymin = 0)) +
geom_rect(aes(xmin = left, xmax = right, ymax = a), fill = "#FDFEFE")
The aestetics are meant to link the plot to your data table. When you write this:
ggplot(data, aes(ymin = 0)) +
geom_rect(aes(xmin = left, xmax = right, ymax = a, fill = "#FDFEFE"))
It is like having the following:
data <- tibble(a = 1:10, left = 1:10 * 20, right = 1:10 * 20 + 10, col = "#FDFEFE")
ggplot(data, aes(ymin = 0)) +
geom_rect(aes(xmin = left, xmax = right, ymax = a, fill = col))
Except that ggplot understands "#FDFEFE" as a categorical value, not as a color. Having "#FDFEFE" or "banana" is the same to ggplot:
ggplot(data, aes(ymin = 0)) +
geom_rect(aes(xmin = left, xmax = right, ymax = a, fill = "banana"))
or
data <- tibble(a = 1:10, left = 1:10 * 20, right = 1:10 * 20 + 10, col = "banana")
ggplot(data, aes(ymin = 0)) +
geom_rect(aes(xmin = left, xmax = right, ymax = a, fill = col))
assign default colours to the categorical data.
As an extra, if you want to assign specific colors to different entries in the table, it is best to use a scale_*_manual layer:
data <- tibble(a = 1:10, left = 1:10 * 20, right = 1:10 * 20 + 10,
col = sample(c("banana", "orange", "coconut"), 10, replace = T))
ggplot(data, aes(ymin = 0)) +
geom_rect(aes(xmin = left, xmax = right, ymax = a, fill = col)) +
scale_fill_manual(values = c("banana" = "yellow2", "orange" = "orange2", "coconut" = "burlywood4"))
If you wanted to hard-code the colors in the table, you would have to use this column outside to the aestetics:
data <- tibble(a = 1:10, left = 1:10 * 20, right = 1:10 * 20 + 10,
col = sample(c("yellow2", "orange2", "burlywood4"), 10, replace = T))
ggplot(data, aes(ymin = 0)) +
geom_rect(aes(xmin = left, xmax = right, ymax = a), fill = data$col)
But it is best to use meaningful categorical values and assign the colors in the scale layer. This is what the grammar of graphics is all about!
I have been trying to use the partial charge of one particular ion to go through a calculation within mdanalysis.
I have tried(This is just a snippet from the code that I know is throwing the error):
Cl = u.select_atoms('resname CLA and prop z <= 79.14')
Lz = 79.14 #Determined from system set-up
Q_sum = 0
COM = 38.42979431152344 #Determined from VMD
file_object1 = open(fors, 'a')
print(dcd, file = file_object1)
for ts in u.trajectory[200:]:
frame = u.trajectory.frame
time = u.trajectory.time
for coord in Cl.positions:
q= Cl.total_charge(Cl.position[coord][2])
coords = coord - (Lz/COM)
q_prof = q * (coords + (Lz / 2)) / Lz
Q_sum = Q_sum + q_prof
print(q)
But I keep getting an error associated with this.
How would I go about selecting this particular atom as it goes through the loop to get the charge of it in MD Analysis? Before I was setting q to equal a constant and the code ran fine so I know it is only this line that is throwing the error:
q = Cl.total_charge(Cl.position[coord][2])
Thanks for the help!
I figured it out with:
def Q_code(dcd, topo):
Lz = u.dimensions[2]
Q_sum = 0
count = 0
CLAs = u.select_atoms('segid IONS or segid PROA or segid PROB or segid MEMB')
ini_frames = -200
n_frames = len(u.trajectory[ini_frames:])
for ts in u.trajectory[ini_frames:]:
count += 1
membrane = u.select_atoms('segid PROA or segid PROB or segid MEMB')
COM = membrane.atoms.center_of_mass()[2]
q_prof = CLAs.atoms.charges * (CLAs.positions[:,2] + (Lz/2 - COM))/Lz
Q_instant = np.sum(q_prof)
Q_sum += Q_instant
Q_av = Q_sum / n_frames
with open('Q_av.txt', 'a') as f:
print('The Q_av for {} is {}'.format(s, Q_av), file = f)
return Q_av
I have been creating new lines in pinescript that extend and want to delete them when the future price hits or crosses the line price. Any help will be appreciated.
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
//#version=4
study("My RS", overlay=true)
float d = 1.0
t = time("60")
start = na(t[1]) or t > t[1]
ticker = syminfo.ticker
src=input(title="Source", type=input.source, defval=open)
float d_r = na
float d_s = na
if (start)
d_r := src + d
d_s := src - d
line lr = na
line ls = na
// drawing r/s lines every hour
if (start)
lr := line.new(x1 = bar_index, y1 = d_r, x2 = bar_index - 1, y2 = d_r, extend = extend.left, color = color.red, width = 2, style = line.style_dashed)
ls := line.new(x1 = bar_index, y1 = d_s, x2 = bar_index - 1, y2 = d_s, extend = extend.left, color = color.lime, width = 2, style = line.style_dashed)
// want to delete lines when the future price crosses the line, which is not working for me
for i = 0 to 100
if not na(lr[i]) and close < high[i]
line.delete(lr[i])
if not na(ls[i]) and close < low[i]
line.delete(ls[i])
you need to get the coordinate of the lines, so use inside a loop if line.get_y1(id[i]) < close if it true, line.delete(id[i]).
Is this what're you looking for?
Hi am looking for some help
I have a Diagonal line drawn on a picture box on my forum and i need to know if the user has clicked the line
I have the Start point and End Point of the Line and the mouse x,y location
So i basically need to find out if the x,y of the mouse is on the line.
can anyone help?
Thanks
Example: Line Start point (A) is (0, 0), END point (B) is (10, 5).
Slope of line is therefore:
m(slope) = (y2 - y1) / (x2 - x1)
= (5 - 0) / (10 - 0)
= 5 / 10
= 0.5
To check if your point(x,y) (C) is on the line it must have the same slope from A->C and C->B. so do the same calculation again. Say point is (4, 2)
m(AC) = (2 - 0) / (4 - 0)
= 2 / 4
= 0.5
m(CB) = (5 - 2) / (10 - 4)
= 3 / 6
= 0.5
Therefore this point would be on line AB.
If point was (20, 10)
m(AC) = (10 - 0) / (20 - 0)
= 10 / 20
= 0.5
However:
m(CB) = (5 - 10) / (10 - 20)
= -5 / -10
= -0.5
Similarly if point was (2, 2)
m(AC) = (2 - 0) / (2 - 0)
= 2 / 2
= 1
m(CB) = (5 - 2) / (10 - 2)
= 3 / 8
= 0.375
So for a point to be on a line m(AB) == m(AC) == m(CB)
You may have a bit of work arounds to perform as you may not be able to get decimal values, and your line may be more than one pixel in width, but these basic principles should see you through.
Given two points, (2,4) and (-1,-2) determine the slope intercept form of the line.
1. Determine the slope
y1-y2 4-(-2) 6
----- = ------= --- = 2 = M
x1-x2 2-(-1) 3
2. To slope intercept form using one of the original points and slope from above.
(y - y1) = m(x - x1)
(y - 4) = 2(x - 2)
y - 4 = 2x - 4
y = 2x + 0 (0 is y intercept)
y = 2x (y = 2x + 0) is in slope intercept form
3. To determine if a point lies on the line, plug and chug with the new point.
new point (1,2) does y = 2x? 2 = 2(1) = true so (1,2) is on the line.
new point (2,2) does y = 2x? 2 = 2(2) = false so (2,2) is not on the line.
In your original problem you said line, but I think you might mean line segment. If you mean the latter you will also need to verify that the new x and y are within the bounds of the given segment.
The code will look something like this
Dim pta As Point = New Point(2, 4)
Dim ptb As Point = New Point(-1, -2)
Dim M As Double
If pta.X - ptb.X <> 0 Then
M = (pta.Y - ptb.Y) / (pta.X - ptb.X)
End If
'(y - pta.y) = M(x - pta.x)
'y - pta.y = Mx - m(pta.x)
'y = Mx - M(pta.x) + pta.y
Dim yIntercept As Double = (-M * pta.X) + pta.Y
Dim ptN1 As Point = New Point(1, 2)
Dim ptN2 As Point = New Point(2, 2)
If ptN1.Y = (M * (ptN1.X)) + yIntercept Then
Stop
Else
Stop
End If
If ptN2.Y = (M * (ptN2.X)) + yIntercept Then
Stop
Else
Stop
End If