how to open pdf file on button click in c# : Cannot select text in pdf file SDK software service wpf winforms azure dnn R%20Graphics%20Cookbook29-part1035

Figure 13-7. Left: a directed graph; right: an undirected graph, with no vertex labels
This is the structure of each of the graph objects:
str(gd)
IGRAPH D--- 6 6 -- 
+ edges:
[1] 1->2 2->3 2->4 1->4 5->5 3->6
str(gu)
IGRAPH U--- 6 6 -- 
+ edges:
[1] 1--2 2--3 2--4 1--4 5--5 3--6
Discussion
In a network graph, the position of the nodes is unspecified by the data, and they’re
placed randomly. To make the output repeatable, you can set the random seed before
making the plot. You can try different random numbers until you get a result that you
like:
set.seed(229)
plot(gu)
It’s also possible to create a graph from a data frame. The first two rows of the data frame
are used, and each row specifies a connection between two nodes. In the next example
(Figure 13-8), we’ll use the madmen2 data set, which has this structure. We’ll also use
the Fruchterman-Reingold layout algorithm. The idea is that all the nodes have a mag‐
netic repulsion from one another, but the edges between nodes act as springs, pulling
the nodes together:
13.4. Creating a Network Graph  |  275
Cannot select text in pdf file - search text inside PDF file in C#.net, ASP.NET, MVC, Ajax, WinForms, WPF
Learn how to search text in PDF document and obtain text content and location information
search text in pdf image; how to select text in pdf
Cannot select text in pdf file - VB.NET PDF Text Search Library: search text inside PDF file in vb.net, ASP.NET, MVC, Ajax, WinForms, WPF
Learn How to Search Text in PDF Document and Obtain Text Content and Location Information in VB.NET application
pdf find highlighted text; pdf searchable text converter
Figure  13-8.  A  directed  graph  from  a  data  frame,  with  the  Fruchterman-Reingold
algorithm
library(gcookbook) # For the data set
madmen2
Name1                    Name2
Abe Drexler              Peggy Olson
Allison               Don Draper
Arthur Case             Betty Draper
...
# Create a graph object from the data set
<- graph.data.frame(madmen2, directed=TRUE)
276  |  Chapter 13: Miscellaneous Graphs
C# HTML5 Viewer: Deployment on AzureCloudService
RasterEdge.XDoc.PDF.dll. RasterEdge.XDoc.PDF.HTML5Editor.dll. Or you can select x86 if you use x86 dlls. (The application cannot to work without this node.).
cannot select text in pdf; find and replace text in pdf
C# HTML5 Viewer: Deployment on ASP.NET MVC
RasterEdge.XDoc.PDF.HTML5Editor.dll. When you select x64 and directly run the application, you may get following error. (The application cannot to work without
searching pdf files for text; search a pdf file for text
# Remove unnecessary margins
par(mar=c(0,0,0,0))
plot(g, layout=layout.fruchterman.reingold, vertex.size=8, edge.arrow.size=0.5,
vertex.label=NA)
It’s also possible to make a directed graph from a data frame. The madmen data set has
only one row for each pairing, since direction doesn’t matter for an undirected graph.
This time we’ll use a circle layout (Figure 13-9):
<- graph.data.frame(madmen, directed=FALSE)
par(mar=c(0,0,0,0))  # Remove unnecessary margins
plot(g, layout=layout.circle, vertex.size=8, vertex.label=NA)
Figure 13-9. A circular undirected graph from a data frame
13.4. Creating a Network Graph  |  277
C# PDF: PDF Document Viewer & Reader SDK for Windows Forms
Choose Items", and browse to locate and select "RasterEdge.Imaging open a file dialog and load your PDF document in will be a pop-up window "cannot open your
can't select text in pdf file; how to select text in pdf and copy
C# Image: How to Deploy .NET Imaging SDK in Visual C# Applications
RasterEdge.Imaging.MSWordDocx.dll; RasterEdge.Imaging.PDF.dll; in C# Application. Q: Error: Cannot find RasterEdge Right click on projects, and select properties.
how to make a pdf document text searchable; text searchable pdf file
See Also
For more information about the available output options, see ?plot.igraph. Also see ?
igraph::layout for layout options.
An alternative to igraph is Rgraphviz, which a frontend for Graphviz, an open-source
library for visualizing graphs. It works better with labels and makes it easier to create
graphs with a controlled layout, but it can be a bit challenging to install. Rgraphviz is
available through the Bioconductor repository system.
13.5. Using Text Labels in a Network Graph
Problem
You want to use text labels in a network graph.
Solution
The vertices/nodes may have names, but these names are not used as labels by default.
To set the labels, pass in a vector of names to vertex.label (Figure 13-10):
library(igraph)
library(gcookbook) # For the data set
# Copy madmen and drop every other row
<- madmen[1:nrow(madmen) %% 2 == 1, ]
<- graph.data.frame(m, directed=FALSE)
# Print out the names of each vertex
V(g)$name
[1] "Betty Draper"    "Don Draper"        "Harry Crane"       "Joan Holloway"
[5] "Lane Pryce"      "Peggy Olson"       "Pete Campbell"     "Roger Sterling"
[9] "Sal Romano"      "Henry Francis"     "Allison"           "Candace"
[13] "Faye Miller"     "Megan Calvet"      "Rachel Menken"     "Suzanne Farrell"
[17] "Hildy"           "Franklin"          "Rebecca Pryce"     "Abe Drexler"
[21] "Duck Phillips"   "Playtex bra model" "Ida Blankenship"   "Mirabelle Ames"
[25] "Vicky"           "Kitty Romano"
plot(g, layout=layout.fruchterman.reingold,
vertex.size        = 4,          # Smaller nodes
vertex.label       = V(g)$name,  # Set the labels
vertex.label.cex   = 0.8,        # Slightly smaller font
vertex.label.dist  = 0.4,        # Offset the labels
vertex.label.color = "black")
278  |  Chapter 13: Miscellaneous Graphs
GIF to PNG Converter | Convert GIF to PNG, Convert PNG to GIF
converted list in memory if you cannot convert at GIF image from local folders in "File" in toolbar Select "Convert to PNG"; Select "Start" to start conversion
find and replace text in pdf file; search text in multiple pdf
C# PowerPoint: Document Viewer Creating in Windows Forms Project
You can select a PowerPoint file to be loaded into the If your PowerPoint file format is not supported by control, there will prompt a window "cannot open your
convert pdf to searchable text; search multiple pdf files for text
Figure 13-10. A network graph with labels
Discussion
Another way to achieve the same effect is to modify the plot object, instead of passing
in the values as arguments to plot(). To do this, use V()$xxx <- instead of passing a
value to a vertex.xxx argument. For example, this will result in the same output as the
previous code:
# This is equivalent to the preceding code
V(g)$size        <- 4
V(g)$label       <- V(g)$name
V(g)$label.cex   <- 0.8
V(g)$label.dist  <- 0.4
V(g)$label.color <- "black"
# Set a property of the entire graph
g$layout <- layout.fruchterman.reingold
plot(g)
13.5. Using Text Labels in a Network Graph  |  279
C# Image: How to Use C# Code to Capture Document from Scanning
installed on the client as browsers cannot interface directly a multi-page document (including PDF, TIFF, Word Select Fill from the Dock property located in
find and replace text in pdf; convert a scanned pdf to searchable text
C# Image: Create C#.NET Windows Document Image Viewer | Online
DeleteAnnotation: Delete all selected text or graphical annotations. You can select a file to be loaded into the there will prompt a window "cannot open your
how to select all text in pdf file; pdf text search
The properties of the edges can also be set, either with the E() function or by passing
values to edge.xxx arguments (Figure 13-11):
# View the edges
E(g)
# Set some of the labels to "M"
E(g)[c(2,11,19)]$label <- "M"
# Set color of all to grey, and then color a few red
E(g)$color             <- "grey70"
E(g)[c(2,11,19)]$color <- "red"
plot(g)
Figure 13-11. A network graph with labeled and colored edges
See Also
See ?igraph.plotting for more information about graphical parameters in igraph.
280  |  Chapter 13: Miscellaneous Graphs
C# Word: How to Create C# Word Windows Viewer with .NET DLLs
and browse to find and select RasterEdge.XDoc control, there will prompt a window "cannot open your powerful & profession imaging controls, PDF document, tiff
convert pdf to searchable text online; convert pdf to word searchable text
C# Excel: View Excel File in Window Document Viewer Control
Items", and browse to find & select WinViewer DLL; there will prompt a window "cannot open your powerful & profession imaging controls, PDF document, image
select text in pdf reader; make pdf text searchable
13.6. Creating a Heat Map
Problem
You want to make a heat map.
Solution
Use geom_tile() or geom_raster() and map a continuous variable to fill. We’ll use
the presidents data set, which is a time series object rather than a data frame:
presidents
Qtr1 Qtr2 Qtr3 Qtr4
1945   NA   87   82   75
1946   63   50   43   32
...
1973   68   44   40   27
1974   28   25   24   24
str(presidents)
Time-Series [1:120] from 1945 to 1975: NA 87 82 75 63 50 43 32 35 60 ...
We’ll first convert it to a format that is usable by ggplot()—a data frame with columns
that are numeric:
pres_rating <- data.frame(
rating  = as.numeric(presidents),
year    = as.numeric(floor(time(presidents))),
quarter = as.numeric(cycle(presidents))
)
pres_rating
rating year quarter
NA 1945       1
87 1945       2
82 1945       3
...
25 1974       2
24 1974       3
24 1974       4
Now we can make the plot using geom_tile() or geom_raster() (Figure 13-12). Simply
map one variable to x, one to y, and one to fill:
# Base plot
<- ggplot(pres_rating, aes(x=year, y=quarter, fill=rating))
# Using geom_tile()
13.6. Creating a Heat Map  |  281
+ geom_tile()
# Using geom_raster() - looks the same, but a little more efficient
+ geom_raster()
Figure 13-12. A heat map—the grey squares represent NAs in the data
The results with geom_tile() and geom_raster() should look the same,
but in practice they might appear different. See Recipe 6.12 for more
information about this issue.
Discussion
To better convey useful information, you may want to customize the appearance of the
heat map. With this example, we’ll reverse the y-axis so that it progresses from top to
bottom, and we’ll add tick marks every four years along the x-axis, to correspond with
each  presidential term. We’ll  also  change  the  color scale  using scale_fill_gradi
ent2(), which lets you specify a midpoint color and the two colors at the low and high
ends (Figure 13-13):
+ geom_tile() +
scale_x_continuous(breaks = seq(19401976, by = 4)) +
scale_y_reverse() +
scale_fill_gradient2(midpoint=50, mid="grey70", limits=c(0,100))
Figure 13-13. A heat map with customized appearance
See Also
If you want to use a different color palette, see Recipe 12.6.
282  |  Chapter 13: Miscellaneous Graphs
13.7. Creating a Three-Dimensional Scatter Plot
Problem
You want to create a three-dimensional (3D) scatter plot.
Solution
We’ll use the rgl package, which provides an interface to the OpenGL graphics library
for 3D graphics. To create a 3D scatter plot, as in Figure 13-14, use plot3d() and pass
in a data frame where the first three columns represent x, y, and z coordinates, or pass
in three vectors representing the x, y, and z coordinates.
# You may need to install first, with install.packages("rgl")
library(rgl)
plot3d(mtcars$wt, mtcars$disp, mtcars$mpg, type="s", size=0.75, lit=FALSE)
Figure 13-14. A 3D scatter plot
Viewers can rotate the image by clicking and dragging with the mouse, and zoom in and
out with the scroll wheel.
13.7. Creating a Three-Dimensional Scatter Plot  |  283
By default, plot3d() uses square points, which do not appear properly
when saving to a PDF. For improved appearance, we used type="s" for
spherical points, made them smaller with size=0.75, and turned off
the 3D lighting with lit=FALSE (otherwise they look like shiny spheres).
Discussion
Three-dimensional scatter plots can be difficult to interpret, so it’s often better to use a
two-dimensional representation of the data. That said, there are things that can help
make a 3D scatter plot easier to understand.
In Figure 13-15, we’ll add vertical segments to help give a sense of the spatial positions
of the points:
# Function to interleave the elements of two vectors
interleave <- function(v1, v2)  as.vector(rbind(v1,v2))
# Plot the points
plot3d(mtcars$wt, mtcars$disp, mtcars$mpg,
xlab="Weight", ylab="Displacement", zlab="MPG",
size=.75, type="s", lit=FALSE)
# Add the segments
segments3d(interleave(mtcars$wt,   mtcars$wt),
interleave(mtcars$disp, mtcars$disp),
interleave(mtcars$mpg,  min(mtcars$mpg)),
alpha=0.4, col="blue")
It’s possible to tweak the appearance of the background and the axes. In Figure 13-16,
we change the number of tick marks and add tick marks and axis labels to the specified
sides:
# Make plot without axis ticks or labels
plot3d(mtcars$wt, mtcars$disp, mtcars$mpg,
xlab = "", ylab = "", zlab = "",
axes = FALSE,
size=.75, type="s", lit=FALSE)
segments3d(interleave(mtcars$wt,   mtcars$wt),
interleave(mtcars$disp, mtcars$disp),
interleave(mtcars$mpg,  min(mtcars$mpg)),
alpha = 0.4, col = "blue")
# Draw the box.
rgl.bbox(color="grey50"         # grey60 surface and black text
emission="grey50"      # emission color is grey50
xlen=0, ylen=0, zlen=0)  # Don't add tick marks
# Set default color of future objects to black
rgl.material(color="black")
284  |  Chapter 13: Miscellaneous Graphs
Documents you may be interested
Documents you may be interested