Here's my declaration in my angular 2 project:
<nouislider [connect]="true" [min]="2.79433548546" [max]="18.5525702846" [(ngModel)]="selectedRange" [tooltips]="[true, true]" ></nouislider>
Initially selectedRangeis correctly set to [2.79433548546, 18.5525702846]. However, as soon as I move the lower bound slider, numbers are rounded off so selectedRange becomes [2.79, 18.55]. 18.5525702846 is clearly not in this range so it is excluded from the sliding criteria. Any ideas of to avoid this?
Formatting to two decimals is the default. You can pass another formatter (using [format]="formatter" or [config]="config" in your declaration).
formatter or config.format would look like this:
format: {
to: String,
from: Number
}
I am trying to write a histogram builder to construct a 2d histogram for my assignment work. This is [my code][1]:
def Build2DHistogramClassifier(X1,X2,T,B,x1min,x1max,x2min,x2max):
HF=np.zeros((B,B),dtype='int');#initialising a empty array of integer type
HM=np.zeros((B,B),dtype='int');
bin_row_indices=(np.round(((B-1)*(X1-x1min)/(x1max-x1min)))).astype('int32');"""this logic decides which bin the value goes into"""
bin_column_indices=(np.round(((B-1)*(X2-x2min)/(x2max-x2min)))).astype('int32');"""np.round-->applies the formula to all the values in the array"""
for i,(r,c) in enumerate(zip(bin_row_indices, bin_column_indices)):
"""enumerate-->if we put array or list into it gives output with index/count i """
if T[i]=='Female':
HF[r,c]+=1;
else:
HM[r,c]+=1;
return [HF, HM]
but the problem is that the results( count in each bin) i am getting is not matching the what i get from using hist2d function in numpy( i passed the same bin size)
i am sorry if my code is not in the right format. Please click on the hyperlink to a gist i created with the same code.
what is the mistake in my code?
how do i correct it?
thanks
By rounding when assigning to bins you are treating the bins as bin centers. The numpy convention is to use them as bin edges.
Remove the two calls to round() from your code and change B-1 to B. You should now get the same results with your function and with np.histogram2d.
I have been using tensorflow to implement a Convolutional neural network,
I have a requirement that the the output values be less than a given value MAX_VAL
I tried creating a matrix filled with MAX_VAL and then using tf.select and tf.greater :
filled = tf.fill(output.get_shape(),MAX_VAL)
modoutput = tf.select(tf.greater(output, filled), filled, output)
But this doesn't work because the shape of output is not known statically:
It is [?, 30] and tf.fill requires an explicit shape.
Any idea how do i implement this?
There is an alternative solution that uses tf.fill() like your initial version. Instead of using Tensor.get_shape() to get the static shape of output, use the tf.shape() operator to get the dynamic shape of output when the step runs:
output = ...
filled = tf.fill(tf.shape(output), MAX_VAL)
modoutput = tf.select(tf.greater(output, filled), filled, output)
(Note also that the tf.clip_by_value() operator might be useful for your purposes.)
I figured out a way to do it.
Instead of using tf.fill I used tf.ones_like
filled = MAX_VAL*tf.ones_like(output)
modoutput = tf.select(tf.greater(output, filled), filled, output)
Please mention if there is a faster or better way to do this is possible.
I would like to access information from a HTTP based API and manipulate it with excel.
The API returns about 20 pieces of information, and you can get that information by looking up any number of about ten lookup fields: name, serial number etc.
I want to write a function similar to the Match Function in excel where one of the parameters (in this case MATCH TYPE) has multiple possible values.
I have a list of values (the 20 pieces of information the API can return) and I want to make these pieces of information the possible return values for one of the Functions parameters.
How do I do I create a function where one parameter has a list of possible values?
And how do I add tooltip help statements to those parameter options so people know what they are?
You want to use an Enum.
In the declarations part of your module (before any subs or functions) you can place code like this.
Enum MyFunctionsArgValue
LessThan
Equal
GreaterThan
End Enum
This will assign each of these keywords an integer value, starting at zero and counting up. So LessThan = 0, Equal = 1, and GreaterThan = 2. (You can actually start at any number you want, but the default is usually fine.)
Now you can use it in your function something like this.
Function MySuperCoolFunction(matchType as MyFunctionsArgValue)
Select Case matchType
Case LessThan
' do something
Case Equal
' do it different
Case GreaterThan
' do the opposite of LessThan
End Select
End Function
To get the tool tip, you need to use something called an Attribute. In order to add it to your code, you'll need to export the *.bas (or *.cls) file and open it in a regular text editor. Once you've added it, you'll need to import it back in. These properties are invisible from inside of the VBA IDE. Documentation is sketchy (read "nonexistent"), so I'm not sure this works for an Enum, but I know it works for functions and module scoped variables.
Function/Sub
Function MySuperCoolFunction(matchType as MyFunctionsArgValue)
Attribute MySuperCoolFunction.VB_Description = "tool tip text"
Module Scoped Var
Public someVar As String
Attribute someVar.VB_VarDescription = "tooltip text"
So, you could try this to see if it works.
Enum MyFunctionsArgValue
Attribute MyFunctionsArgValue.VB_VarDescription = "tool tip text"
LessThan
Equal
GreaterThan
End Enum
Resources
https://www.networkautomation.com/automate/urc/resources/help/definitions/Sbe6_000Attribute_DefinintionStatement.htm
http://www.cpearson.com/excel/CodeAttributes.aspx
I am tring to plot a map with d3.js using GeoJSON, but the paths generated look like this:
<path d="MNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNLNaN,NaNZ">
the code and data are in this Gist:
https://gist.github.com/4157853
I can load the data just fine on QGIS.
Does any one know what is causing this?
The way you have specified the offset in the Mercator projection doesn't seem right. The projection.translate method expects a two element array:
https://github.com/mbostock/d3/wiki/Geo-Projections#wiki-mercator_translate
So instead of:
proj.translate(-43.8,-23.2).scale(10);
you would need to say:
proj.translate([-43.8,-23.2]).scale(10);
-- edit --
See source of projection.translate: https://github.com/mbostock/d3/blob/3.0/src/geo/projection.js#L139
projection.translate = function(_) {
if (!arguments.length) return [x, y];
x = +_[0];
y = +_[1];
return reset();
};
If the argument _ is not an array then +_[0] will return a NaN and therefore the x and y will become NaNs. (This is because trying to get one element from a number (e.g. 213[0]) returns undefined and casting undefined to a number (e.g. +undefined) yields NaN.)
If the code you posted in the gist is everything you're trying to run, then the data you show in data.json is not being loaded anywhere. Anyway, your draw function is acting on the data defined by the variable map (line 16), which refers to a simulation variable which isn't set anywhere. And even if it did, line 34 then refers to a features property of the object passed in as json, which map does not have.
In summary, you need to pass the JSON you posted in the gist to your draw function. Then it might well work. If you don't pass in valid data to the d3 SVG helpers, you'll get a bunch of NaN out.