Desarrollo de Python

Tengo una función SWIG C ++ que espera un puntero a función (WNDPROC) y quiero darle una función Python que ha sido envuelta por ctypes.WINFUNCTYPE. Me parece que esto debería ser compatible, pero la comprobación de tipos de SWIG produce una excepción porque no sabe que el tipo ctypes.WINFUNCTYPE es, en realidad, un WNDPROC. ¿Qué […]

Quiero dividir una secuencia de entrada para el procesamiento por lotes. Dada una lista de entrada o generador, x_in = [1, 2, 3, 4, 5, 6 …] Quiero una función que devolverá trozos de esa entrada. Diga, si chunk_size=4 , entonces, x_chunked = [[1, 2, 3, 4], [5, 6, …], …] Esto es algo que […]

Estoy tratando de estructurar mi aplicación en Python. Volviendo del fondo C # / Java, me gusta el enfoque de una clase por archivo. Me gustaría que mi árbol de proyectos se vea así: [Service] [Database] DbClass1.py DbClass2.py [Model] DbModel1.py DbModel2.py TheService.py [ServiceTests] [Database] DbClass1Tests.py DbClass2Tests.py [Model] DbModel1Tests.py DbModel2Tests.py TheServiceTests.py ¿El enfoque de una clase […]

Estoy escribiendo una pequeña utilidad wxPython. Me gustaría usar algún evento para detectar cuando un usuario minimiza la aplicación / ventana. He mirado a mi alrededor pero no encontré un evento como wx.EVT_MINIMIZE al que pudiera enlazar. ¿Alguien sabe de alguna manera que se pueda utilizar para detectar esto?

Estoy usando Python. ¿Cómo hacer una subselección de un vector, en base a los valores de otros dos vectores con la misma longitud? Por ejemplo este tres vectores. c1 = np.array([1,9,3,5]) c2 = np.array([2,2,3,2]) c3 = np.array([2,3,2,3]) c2==2 array([ True, True, False, True], dtype=bool) c3==3 array([False, True, False, True], dtype=bool) Quiero hacer algo como esto: […]

ing_scroll = Scrollbar(window1_frame1, orient=VERTICAL) ingredients = ttk.Treeview(window1_frame1, yscrollcommand=ing_scroll.set, height=5, columns=[‘Ingredient’, ‘Amount’], show=”headings”) ingredients.heading(“Ingredient”, text=’Ingredient’) ingredients.column(“Ingredient”, width=7) ingredients.heading(“Amount”, text=’Amount’) ingredients.column(“Amount”, width=1) ing_scroll.config(command=ingredients.yview) ing_scroll.pack(side=RIGHT, fill=Y) ingredients.pack(side=LEFT, fill=’both’, expand=1) def OnRecpSelect(event): DB = menu_combo.get() mytable = recipe_combo.get() ingredient_list = TKengine.pull_ingredients(DB, mytable) # NEED TO CLEAR THE INGREDIENTS TTK:TREEVIEW OBJECT HERE! for i in ingredient_list: ingre = i[1] amoun […]

Volví a golpear la pared de bloques. Soy un novato total, así que tengo que confiar en tu poderoso conocimiento de nuevo. Estaba empezando con un conjunto de datos, con este aspecto: ,user_account_id,user_lifetime,user_no_outgoing_activity_in_days,user_account_balance_last,user_spendings,reloads_inactive_days,reloads_count,reloads_sum,calls_outgoing_count,calls_outgoing_spendings,calls_outgoing_duration,calls_outgoing_spendings_max,calls_outgoing_duration_max,calls_outgoing_inactive_days,calls_outgoing_to_onnet_count,calls_outgoing_to_onnet_spendings,calls_outgoing_to_onnet_duration,calls_outgoing_to_onnet_inactive_days,calls_outgoing_to_offnet_count,calls_outgoing_to_offnet_spendings,calls_outgoing_to_offnet_duration,calls_outgoing_to_offnet_inactive_days,calls_outgoing_to_abroad_count,calls_outgoing_to_abroad_spendings,calls_outgoing_to_abroad_duration,calls_outgoing_to_abroad_inactive_days,sms_outgoing_count,sms_outgoing_spendings,sms_outgoing_spendings_max,sms_outgoing_inactive_days,sms_outgoing_to_onnet_count,sms_outgoing_to_onnet_spendings,sms_outgoing_to_onnet_inactive_days,sms_outgoing_to_offnet_count,sms_outgoing_to_offnet_spendings,sms_outgoing_to_offnet_inactive_days,sms_outgoing_to_abroad_count,sms_outgoing_to_abroad_spendings,sms_outgoing_to_abroad_inactive_days,sms_incoming_count,sms_incoming_spendings,sms_incoming_from_abroad_count,sms_incoming_from_abroad_spendings,gprs_session_count,gprs_usage,gprs_spendings,gprs_inactive_days,last_100_reloads_count,last_100_reloads_sum,last_100_calls_outgoing_duration,last_100_calls_outgoing_to_onnet_duration,last_100_calls_outgoing_to_offnet_duration,last_100_calls_outgoing_to_abroad_duration,last_100_sms_outgoing_count,last_100_sms_outgoing_to_onnet_count,last_100_sms_outgoing_to_offnet_count,last_100_sms_outgoing_to_abroad_count,last_100_gprs_usage,user_intake,user_has_outgoing_calls,user_has_outgoing_sms,user_use_gprs,user_does_reload,n_months,month,churn 0,1031,947.0,0.3333333333333333,10.993333333333334,10.3,12.0,1.3333333333333333,10.013333333333334,83.66666666666667,5.859999999999999,55.69,0.5966666666666667,10.333333333333334,0.6666666666666666,0.0,0.0,0.0,0.6666666666666666,23.333333333333332,2.8833333333333333,25.0,0.6666666666666666,0.0,0.0,0.0,0.6666666666666666,135.33333333333334,4.44,0.06,0.3333333333333333,16.333333333333332,0.98,0.3333333333333333,57.666666666666664,3.4599999999999995,0.3333333333333333,0.0,0.0,0.3333333333333333,14.0,0.0,0.0,0.0,0.0,0.0,0.0,1307.0,5.666666666666667,22.01666666666667,130.48,0.0,65.33333333333333,0.0,287.3333333333333,34.0,113.66666666666667,0.0,0.0,0,1,1,0,1,3,9,0 1,4231,951.0,1.3333333333333333,27.546666666666667,6.45,22.0,1.0,12.013333333333334,46.333333333333336,6.45,47.150000000000006,1.3233333333333333,8.81,1.3333333333333333,0.0,0.0,0.0,1.3333333333333333,31.666666666666668,6.400000000000001,42.656666666666666,1.3333333333333333,0.0,0.0,0.0,1.3333333333333333,0.6666666666666666,0.0,0.0,57.0,0.0,0.0,57.0,0.0,0.0,57.0,0.0,0.0,57.0,10.666666666666666,0.0,0.0,0.0,0.0,0.0,0.0,1307.0,4.0,32.026666666666664,156.96666666666667,0.0,145.42999999999998,0.0,1.6666666666666667,0.0,0.3333333333333333,0.0,0.0,0,1,1,0,1,3,9,0 2,5231,523.0,0.6666666666666666,14.62,1.0999999999999999,1307.0,0.0,0.0,14.333333333333334,1.0999999999999999,7.573333333333333,0.7266666666666666,4.84,0.6666666666666666,0.0,0.0,0.0,0.6666666666666666,8.333333333333334,0.3233333333333333,2.1566666666666667,0.6666666666666666,0.0,0.0,0.0,0.6666666666666666,0.0,0.0,0.0,1307.0,0.0,0.0,1307.0,0.0,0.0,1307.0,0.0,0.0,1307.0,8.333333333333334,0.0,0.0,0.0,0.0,0.0,0.0,1307.0,0.0,0.0,47.330000000000005,0.0,10.356666666666667,0.0,0.0,0.0,0.0,0.0,0.0,0,1,0,0,0,3,9,0 Y mi código se ve así: ca1DF = ( sqlContext.read.load(“merged.csv”, format=”com.databricks.spark.csv”, header=True, inferSchema=True) .rdd.toDF([“user_account_id”, “user_lifetime”, “user_no_outgoing_activity_in_days”, “user_account_balance_last”, “user_spendings”, “reloads_inactive_days”, […]

Necesito calcular una columna donde el valor es el resultado de una operación vectorizada sobre otras columnas: df[“new_col”] = df[“col1”] – min(0,df[“col2”]) Resultó, sin embargo, que no puedo usar min como en la syntax anterior. Entonces, ¿cuál es la forma correcta de obtener el mínimo entre cero y un valor dado de columna de pandas?

Ayudo con un campamento juvenil cada año. Asignar asistentes a las habitaciones es una tarea enorme: hay 92 habitaciones y el evento dura una semana, los asistentes se quedan por períodos de tiempo variables y las camas necesitan ser reutilizadas. Actualmente se necesita un voluntario ~ una semana para asignar personas a las habitaciones. Hay […]

¿Cómo puedo agregar un borde de contorno a un widget en wxpython? (Cualquier widget, por ejemplo, un wx.Button )