I have doubt regarding this specific line
'{num} = {title}'.format(**dict(num=7, title='Strings'))
'7 = Strings'
I couldn't understand how **dict is working here. if anybody could help me on this.
Related
Pdict = {"KobeBryant":0,"JoeJohnson":1,"LeBronJames":2,"CarmeloAnthony":3,"DwightHoward":4,"ChrisBosh":5,"ChrisPaul":6,"KevinDurant":7,"DerrickRose":8,"DwayneWade":9}
Salary = np.array([KobeBryant_Salary, JoeJohnson_Salary, LeBronJames_Salary, CarmeloAnthony_Salary, DwightHoward_Salary, ChrisBosh_Salary, ChrisPaul_Salary, KevinDurant_Salary, DerrickRose_Salary, DwayneWade_Salary])
Games = np.array([KobeBryant_G, JoeJohnson_G, LeBronJames_G, CarmeloAnthony_G, DwightHoward_G, ChrisBosh_G, ChrisPaul_G, KevinDurant_G, DerrickRose_G, DwayneWade_G])
plr =[]
for v in Pdict.values():
for s in Salary:
for g in Games:
if np.isnan(g[v]) == True: continue
z = np.round(np.divide(s[v], Games[v]), 2)
plr.append(z)
print(plr)
print(type(z))
Im trying to make a new matrix called plr, there is a zero in Games[] and Im trying to make it skip it instead of giving me that error. I found the np.isnan() but it seems to do nothing here. If I run the code with or without that line, it still gives me the runtime warning. Im not sure what Im doing wrong with it or is there a better way to do this?
I'm making an app in python3 and I want to use some function in imagej. I used macro recorder to switch to python code but it got really messy, now I don't know how to do next. Can someone help me, please.
Here is the marco recorder code and my marco code
imp = IJ.openImage("D:/data/data_classify/data_train/1/9700TEST.6.tiff40737183_2.jpg");
//IJ.setTool("line");
//IJ.setTool("polyline");
xpoints = [177,155,114,101,100,159,179];
ypoints = [82,94,109,121,133,163,173];
imp.setRoi(new PolygonRoi(xpoints,ypoints,Roi.POLYLINE));
IJ.run(imp, "Straighten...", "title=9700TEST.6.tiff40737183_2-1.jpg line=30");
my python3 code
mport imagej
from scyjava import jimport
ij = imagej.init('2.5.0', mode='interactive')
print(ij.getVersion())
imp = ij.IJ.openImage("D:/data/data_classify/data_train/1/9700TEST.6.tiff40737183_2.jpg")
xpoints = [177,155,114,101,100,159,179]
xpoints_int = ij.py.to_java(xpoints)
ypoints = [82,94,109,121,133,163,173]
ypoints_int = ij.py.to_java(xpoints)
straightener = jimport('ij.plugin.Straightener')
polyRoi = jimport('ij.gui.PolygonRoi')
and I don't know how to do next...
After a few days, I finally found the answer. It is important to understand the parameters of the function to write, I have referenced in:
https://pyimagej.readthedocs.io/en/latest/
https://imagej.nih.gov/ij/developer/api/ij/module-summary.html
in my example the next thing i need is polygonroi from the given coordinates. I found the required coefficients of PolygonRoi in the above website and determined to take as parameters PolygonRoi​(int[] xPoints, int[] yPoints, int nPoints, int type)
Next, I found a way to convert my list of coordinates to an int[] which was shown in the pyimagej tutorial.
In the type section, I can find it by trying print(int(roi.PolygonRoi)) and the result is 6, you can also find the reason in the website above in the Roi section
The rest, the last thing you need to do is put that PolygonRoi into the Straightener function with the line value you want
Here is my code for using macro Imagej in Python3
import imagej
from scyjava import jimport
from jpype import JArray, JInt
ij = imagej.init('2.5.0', mode='interactive')
print(ij.getVersion())
imp = ij.IJ.openImage("D:/AI lab/joint_detection/data/1/9700TEST.6.tiff133328134_1.jpg")
xpoints = [124,126,131,137,131,128,121,114]
xpoints_int = JArray(JInt)(xpoints)
ypoints = [44,63,105,128,148,172,194,206]
ypoints_int = JArray(JInt)(ypoints)
straightener = jimport('ij.plugin.Straightener')
polyRoi = jimport('ij.gui.PolygonRoi')
roi = jimport('ij.gui.Roi')
new_polyRoi = polyRoi(xpoints_int,ypoints_int,len(xpoints), int(roi.POLYLINE))
imp.setRoi(new_polyRoi)
straightened_img = ij.IJ.run(imp, "Straighten...", "title=9700TEST.6.tiff40737183_2-1.jpg line=30")
ij.IJ.saveAs(straightened_img, 'Jpeg', './test.jpg')
I am new to using the MultiSURF algorithm for feature selection.
I am using MultiSurf from skrebate.
I have ~6500 feature dataset.
The code took about 3 days to create a ditance array. It has been stuck on "Feature Scoring unedr way..." for the past 5 days.
What am i doing wrong ?
Following is the code:
fs = MultiSURF(n_features_to_select=100, verbose=True)
fs.fit(X, y)
print("Printing for FS")
print(fs.feature_importances_)
print(fs.top_features_)
print("Done Printing for FS")
dfDashboard = pd.DataFrame()
for feature_name, feature_score in zip(df.drop(responseCol, axis=1).columns,
fs.feature_importances_):
print(feature_name, '\t', feature_score)
new_record = pd.DataFrame([[feature_name, feature_score]],columns=['FeatureName','Score'])
dfDashboard = pd.concat([dfDashboard,new_record])
Can someone please help understand ?
Does MultiSurf not work well for datasets with 1000's features?
Thanks
I am running in a very, strange case... Yesterday I wrote a little script. It's goal is to check one condition in a file based on another file. It worked as intended. But since this morning, it doesn't. I haven't changed anything to the best of my knowledge. the code doesn't throw any error. I think the culprit is glob.glob
for file in glob.glob('*private.vcf.gz'):
seen = False
vcf = VCF(file)
print("test")
if not (file == "controlH.g.vcf.gz" or file == "output.g.vcf.gz"):
sample_name = file.split('.')[0]
out = "{}.FalsePositiveRefCallPurged.vcf".format(sample_name)
w = Writer(out, vcf)
for v in vcf:
seen = False
ref = VCF('output.g.vcf.gz')
for r in ref:
if seen :
break
if not seen:
if v.CHROM == r.CHROM:
if v.start == r.start or v.start > r.start and v.start < r.end:
if r.FILTER == "RefCall":
continue#print(str(v))
else:
w.write_record(v)
seen = True
w.close()
Indeed, when simply running
glob.glob('.*private.vcf.gz')
I get an empty list.
Here is the output of bash
ls *.private.vcf.gz
D2A1.private.vcf.gz D3A1.private.vcf.gz D5B3.private.vcf.gz H2C3.private.vcf.gz H4C2.private.vcf.gz
D2B3.private.vcf.gz D4A3.private.vcf.gz H2A3.private.vcf.gz H4A4.private.vcf.gz H5A3.private.vcf.gz
So I am sure the files are there ... I really don't understand why suddenly glob.glob has troubles finding them.
Any help would be greatly appreciated, thanks
Ok, it appearst that a direactory
/.ipynb_checkpoints
was created and my notebook using it as its default directory...
I'm new to python. I'm searching on google about python code to get street sign detection, I found some code but I can't understand what the code means.
elif dominant_color[0] > 80:
zone_0 = square[square.shape[0]*3//8:square.shape[0]
* 5//8, square.shape[1]*1//8:square.shape[1]*3//8]
cv2.imshow('Zone0', zone_0)
zone_0_color = warnadominan(zone_0, 1)
zone_1 = square[square.shape[0]*1//8:square.shape[0]
* 3//8, square.shape[1]*3//8:square.shape[1]*5//8]
cv2.imshow('Zone1', zone_1)
zone_1_color = warnadominan(zone_1, 1)
zone_2 = square[square.shape[0]*3//8:square.shape[0]
* 5//8, square.shape[1]*5//8:square.shape[1]*7//8]
cv2.imshow('Zone2', zone_2)
zone_2_color = warnadominan(zone_2, 1)
Thanks in advance
Assuming square has shape (8, 8)
I think this diagram might help:
Edit: The code is trying to extract the zones shown in the image