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Jay Iger I need to create a graph that correctly represents the profit maximization model of the aircraft under different scenarios. I apologize in advance for my lack of understanding of the exact name. As mentioned, I've found the type of graph that best rep
Knicks 290192 I want to create background in Xcode like attached image. Any suggestions? swift boy The best way is to always use Image as background let navBackgroundImage:UIImage! = UIImage(named: "your_background_image_name_here")
If you just want to set th
icosahedron I want an image like this but when the texts are not of equal length the distance between the TextViews changes and when there are too many words go to the next line. The xml code for the layout I created is: <?xml version="1.0" encoding="utf-8"?>
Aksukumar Maldeh Can anyone tell me how to create a shape that is somewhat rectangular but ends up being a triangle. Jack' I would use the gradient image from the drawable folder. Let's call it background.png. You can also do it with the icons searchicon.png a
Aksukumar Maldeh Can anyone tell me how to create a shape that is somewhat rectangular but ends up being a triangle. Jack' I would use the gradient image from the drawable folder. Let's call it background.png. You can also do it with the icons searchicon.png a
Daniel Valencia C. I have the following contour plot x <- c(0,25,50,75,100)
y <- c(0,10,20)
z <- matrix(c(12,12,13,12,5,12,5,5,5,12,5,12,13,14,15), nrow = 5, ncol = 3, byrow = TRUE)
A <- matrix(seq(0, 100, by = 25), nrow = 3, ncol = 5, byrow = TRUE) #As x
B <-
Kunal Singhal I want my plot to also show 7000 on the x-axis, since there are more than 6000 values in the data. I try to use, set_xlim(right = 7000)but an error pops up 'QuadContourSet' object has no attribute 'set_xlim' import numpy as np
import matplotlib.p
Kunal Singhal I want my plot to also show 7000 on the x-axis, since there are more than 6000 values in the data. I try to use, set_xlim(right = 7000)but an error pops up 'QuadContourSet' object has no attribute 'set_xlim' import numpy as np
import matplotlib.p
Mosavi If a = columns, b = rowsand c = intensity. How can I create an image of dimensions aby bhaving an intensity for each pixel c: In SigmaPlot, to create images 29x4, a, band cthe format are as follows, how the data can be formatted in Matlab to achieve sim
Mosavi If a = columns, b = rowsand c = intensity. How can I create an image of dimensions aby bhaving an intensity for each pixel c: In SigmaPlot, to create images 29x4, a, band cthe format are as follows, how the data can be formatted in Matlab to achieve sim
Kady I have the code below. I use this to use 1 image and use the "rel" and "title" tags to fill in the words to display with the actual image. This will create a banner-like system that uses text instead of all images. Right now, what I'm trying to do is popu
Navier I am trying to create a plist with the following functionality. Inside the plist there are two keys 1.id 2.status The current value is id: 91 status: buy where the id should be unique. If I try to add a third entry like id:91 status:downlaod it should r
Kady I have the code below. I use this to use 1 image and use the "rel" and "title" tags to fill in the words to display with the actual image. This will create a banner-like system that uses text instead of all images. Right now, what I'm trying to do is popu
Navier I am trying to create a plist with the following functionality. Inside the plist there are two keys 1.id 2.status The current value is id: 91 status: buy where the id should be unique. If I try to add a third entry like id:91 status:downlaod it should r
Kady I have the code below. I use this to use 1 image and use the "rel" and "title" tags to fill in the words to display with the actual image. This will create a banner-like system that uses text instead of all images. Right now, what I'm trying to do is popu
Zhao Zhao I tried using absolute position but it doesn't work, click to view picture overlay image view you can also see my code below. <View style={{ justifyContent: 'flex-end', flexDirection: 'row' }}>
<View style={{ height: 20, width: 20, borderRa
Zhao Zhao I tried using absolute position but it doesn't work, click to view picture overlay image view you can also see my code below. <View style={{ justifyContent: 'flex-end', flexDirection: 'row' }}>
<View style={{ height: 20, width: 20, borderRa
question_mark_77 I have a sheet of paper with scans of documents on it, I use tesseract to recognize the text, but sometimes the image is in the wrong orientation, then I cut these documents from the sheet and process each document individually, but I need to
username I want to make border like attached image in my app. Please help me as well. The original screen is the same as the code below. I am going to make the first screen image. tell me the changes in the xml. How can I make the border like a scary image? cu
username I want to make border like attached image in my app. Please help me as well. The original screen is the same as the code below. I am going to make the first screen image. tell me the changes in the xml. How can I make the border like a scary image? cu
gram_schmidt So I'm processing some output (in a .txt file) from a separate code that takes the final matrix and writes that matrix to a file. The output is that each line of the file is the solution to the one-dimensional heat equation for a specific time ste
gram_schmidt So I'm processing some output (in a .txt file) from a separate code that takes the final matrix and writes that matrix to a file. The output is that each line of the file is the solution to the one-dimensional heat equation for a specific time ste
ZKK How to remove the blue part? import altair as alt
from vega_datasets import data
iris = data.iris()
alt.Chart(iris).mark_point().encode(
x='petalWidth',
y='petalLength',
color='species'
).configure_axis(
grid=False
).configure_view(
s
ZKK How to remove the blue part? import altair as alt
from vega_datasets import data
iris = data.iris()
alt.Chart(iris).mark_point().encode(
x='petalWidth',
y='petalLength',
color='species'
).configure_axis(
grid=False
).configure_view(
s
ZKK How to remove the blue part? import altair as alt
from vega_datasets import data
iris = data.iris()
alt.Chart(iris).mark_point().encode(
x='petalWidth',
y='petalLength',
color='species'
).configure_axis(
grid=False
).configure_view(
s
ZKK How to remove the blue part? import altair as alt
from vega_datasets import data
iris = data.iris()
alt.Chart(iris).mark_point().encode(
x='petalWidth',
y='petalLength',
color='species'
).configure_axis(
grid=False
).configure_view(
s
ZKK How to remove the blue part? import altair as alt
from vega_datasets import data
iris = data.iris()
alt.Chart(iris).mark_point().encode(
x='petalWidth',
y='petalLength',
color='species'
).configure_axis(
grid=False
).configure_view(
s
ZKK How to remove the blue part? import altair as alt
from vega_datasets import data
iris = data.iris()
alt.Chart(iris).mark_point().encode(
x='petalWidth',
y='petalLength',
color='species'
).configure_axis(
grid=False
).configure_view(
s
ZKK How to remove the blue part? import altair as alt
from vega_datasets import data
iris = data.iris()
alt.Chart(iris).mark_point().encode(
x='petalWidth',
y='petalLength',
color='species'
).configure_axis(
grid=False
).configure_view(
s