python - Sequence stores according to their distances using pandas df -

-



i have 3 dataframes.

1.contains distances of stores main warehouse.(df1)

ware_house    store   km    1          1023    1.1    1          1056    0.3    1          1089    1.7

2.contains distances of stores store.(df2)

start_store    destination_store     km    1023             1056             5.3    1023             1089             3.7    1056             1089             4.5    1056             1023             5.8    1089             1056             3.9    1089             1023             4.2

i have 1 more dataframe contains test file (df3)

rowid    store    sequence  100      1023  101      1056  102      1089

i want sequence stores in df3 such that,

first picks store minimum distance warehouse , assign sequence no. 1 in df3.

then looks combination of store stores , picks least distance store , inserts sequence no.2 in df3.

similarly checks next store same above logic.

in case df1 see store 1056 has least km.

therefore in df3, store 1056 assign sequence 1

then df2 combination of other stores store 1056 , select least distance store, in case store 1089 , assign sequence 2 in df3 . combination of store 1089 other store , generate next sequence.

my final df like:

rowid    store    sequence  100      1023      3  101      1056      1  102      1089      2

note:this test example. have calculate many stores. help?





wiki

Comments

Post a Comment

Popular posts from this blog

python - Read npy file directly from S3 StreamingBody -

-
i have many .npy (numpy) , .json files saved in s3, need download , load these files. for json files downloading files , loading dictionary using following code: obj = s3.object(bucket, key) response = obj.get() body = response['body'].read().decode('utf-8') data = json.loads(body) that way avoid writing .json file disk , reading it. now want same .npy files, equivalent? currently downloading file, saving temp file on disk , loading np.load avoid if possible. following https://stackoverflow.com/a/28196540/3509999 : obj = s3.object(bucket, key) io.bytesio(obj.get()["body"].read()) f: # rewind file f.seek(0) arr = np.load(f) wiki
Read more

python - Minimize function with Scipy minimize -

-
trying obtain d value (integer) std_diff objective function minimal, using scipy minimize. my code: def std_diff(d): return std(diff(df['bn'].values,d)); scipy.optimize import minimize b=(3,) res = minimize(std_diff,(1,), method='slsqp', bounds = b) **df['bn'].values** out[72]: array([ 2, 2, 2, 2, 3, 2, 7, 5, 7, 11, 8, 2, 11, 7, 15, 8, 7, 12, 21, 19, 32, 35, 40, 35, 21, 19, 25, 20, 40, 80, 99], dtype=int64) error is"indexerror: many indices array " in case not use bounds : res = minimize(std_diff,(1,), method='slsqp'), error: > in _minimize_slsqp(func, x0, args, jac, bounds, constraints, maxiter, > ftol, iprint, disp, eps, callback, **unknown_options) > 368 fx = float(np.asarray(func(x))) > 369 except: > --> 370 raise valueerror("objective function must return scalar") > 371 # compute constraints > 3
Read more

kotlin - Out-projected type in generic interface prohibits the use of metod with generic parameter -

-
i start using kotlin , defined interface this: interface aadapter<vh : recyclerview.viewholder> { fun oncreateaviewholder(parent: viewgroup): vh fun onbindaviewholder(v: vh, position: int) } and when try use on code: class klasa ( private val adapter: aadapter<*> ) { fun dosth(){ //... val vh = this.adapter.oncreateaviewholder(parent) //on below line error adapter.onbindaviewholder(v, position) //... } } i error out-projected type 'aadapter<*>' prohibits use of 'public abstract fun onbindaviewholder(v: t, position: int): unit i tied add "in" or "out" definition i'm confused. how allow it. replace aadapter<*> aadapter<recyclerview.viewholder> . class klasa ( private val adapter: aadapter<recyclerview.viewholder> ) { // ... because have declared aadapter has type parameter vh type subclass of recyclerview.
Read more