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How do we create a few empty pandas of data frams?

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magpie QA Engineer last edited by

I have a list of names for future names tables = ["a,"b,...] Initiate the len(names) empty pandas frimets so that each of them has a, b... respectively. I mean, instead of:
a=pd.DataFrame()
d=pd.DataFrame()
c=pd.DataFrame()
d=pd.DataFrame()
e=pd.DataFrame()
I want to do this one cycle/command.
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Raziyah00 last edited by

Try to create a vocabulary and add thesemes.
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Filter data when loading CSV using Pandas
Software Programming • python pandas • • Jolied

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There are several ways to filter rows in Pandas, the simplest thing is to create a mask (Boolean Array) using a conditional on the column in question and then filter the rows of the Dataframe with it. Basically it is the procedure that is followed in NumPy to filter arrays. This is known as http://pandas.pydata.org/pandas-docs/stable/indexing.html#boolean-indexing .We can create a small example to see it:import pandas as pd from io import StringIO data = StringIO(''' Nombre,Edad,Sexo,Fecha Juan,12,M,20/08/2017 Laura,21,F,24/07/2017 Pedro,53,M,13/01/2017 María,17,F,15/03/2017 Luís,19,M,15/07/2017 Miguel,23,M,14/08/2017 ''') df = pd.read_csv(data, header=0, parse_dates = ['Fecha'], dayfirst = True) We therefore have the following Dataframe:>>> df Nombre Edad Sexo Fecha 0 Juan 12 M 2017-08-20 1 Laura 21 F 2017-07-24 2 Pedro 53 M 2017-01-13 3 María 17 F 2017-03-15 4 Luís 19 M 2017-07-15 5 Miguel 23 M 2017-08-14 We can filter using the column sexo to get another Dataframe that only contains the rows corresponding to women simply by doing:>>> df2 = df[df['Sexo'] == 'F'] >>> df Nombre Edad Sexo Fecha 1 Laura 21 F 2017-07-24 3 María 17 F 2017-03-15 With df['Sexo'] == 'F' simply creates a mask that in this case is a series of Pandas and contains a single column of booleans: [False, True, False, True, False, False] result of comparison if each column value is equal to 'F'. We can filter with any other iterable bolean values, for example a NumPy array, a list, a column of another DataFrame, etc.Another example, filtering those who are 18 or older:>>> df2 = df[df['Edad'] >= 18] >>> df2 Nombre Edad Sexo Fecha 1 Laura 21 F 2017-07-24 2 Pedro 53 M 2017-01-13 4 Luís 19 M 2017-07-15 5 Miguel 23 M 2017-08-14 Edition:You can filter by dates following the same idea, for example we can filter the row with Fecha between the current date and 30 days ago:>>> fecha_limite = pd.datetime.now().date() - pd.Timedelta(days=30) >>> df2 = df[(df['Fecha'] > fecha_limite)] >>> df2 Nombre Edad Sexo Fecha 0 Juan 12 M 2017-08-20 1 Laura 21 F 2017-07-24 5 Miguel 23 M 2017-08-14 Several conditions can also be used, for example the previous condition but also a woman:>>> fecha_limite = pd.datetime.now().date() - pd.Timedelta(days=30) >>> df2 = df[(df['Fecha'] > fecha_limite) & (df['Sexo'] == 'F')] >>> df2 Nombre Edad Sexo Fecha 1 Laura 21 F 2017-07-24 It can be filtered using the index the same way or using loc, for example, if our column Fecha outside in DataFrame Index (DateTimeIndex) we can do:>>> fecha_limite = pd.datetime.now().date() - pd.Timedelta(days=30) >>> df2 = df[df.index.date > fecha_limite]
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How is the cycle for Python 3.5
Software Programming • python python 3.x cycles for • • obi

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Actually, it's all right. When the interpreter handles the line for x in range(1,10): all values x I don't know where to go. I mean, the list of expressions is calculated once, and then the set is performed once for each element, In your case, the list of expressions will be 1, 2, 3 ..♪ Then you change. x inside the cycle, but on the new irration of the cycle x Reading the values from the pre-listed expressions, and you're increasing it again.First iteration:for x in range(1,10): # x = 1 x += 7 # x = 1 + 7 = 8 logging.info('X = {}'.format(x)) Second iteration:for x in range(1,10): # x = 2 x += 7 # x = 2 + 7 = 9 logging.info('X = {}'.format(x)) Yeah. https://docs.python.org/3/reference/compound_stmts.html#for
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How to create DataFrame based on downloading of data from the OBD table?
Software Programming • python python 3.x mariadb dataframe • • chanisef

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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_sql.html If using SQL Alchemy:import pandas as pd from sqlalchemy import create_engine engine = create_engine("mysql+pymsql://user:pass@some_mariadb/dbname?charset=utf8mb4") df = pd.read_sql("select * from myshema.mytable", engine) You can use a driveway. MariaDBbut unlike the first option, which will work for MySQL and for MariaDBThe option below will only work for MariaDB:engine = create_engine("mariadb+pymsql://user:pass@some_mariadb/dbname?charset=utf8mb4") NOTE:The above engine, upon first connect, will raise an error if the server version detection detects that the backing database is not MariaDB.
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Transpose the list and print it as a beautiful table. (Take lists in columns)
Software Programming • python python 3.x • • magpie

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We can tread the matrix with help. zip(*lst) and use the module https://pypi.python.org/pypi/tabulate for a beautiful press:In [125]: from tabulate import tabulate In [127]: print(tabulate(list(zip(*lst)), tablefmt='simple')) x x1 x2 y y1 y2 z z1 z2 In [128]: print(tabulate(list(zip(*lst)), tablefmt='plain')) x x1 x2 y y1 y2 z z1 z2 In [129]: print(tabulate(list(zip(*lst)), tablefmt='grid')) +---+----+----+ | x | x1 | x2 | +---+----+----+ | y | y1 | y2 | +---+----+----+ | z | z1 | z2 | +---+----+----+ In [130]: print(tabulate(list(zip(*lst)), tablefmt='fancy_grid')) ╒═══╤════╤════╕ │ x │ x1 │ x2 │ ├───┼────┼────┤ │ y │ y1 │ y2 │ ├───┼────┼────┤ │ z │ z1 │ z2 │ ╘═══╧════╧════╛
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Is there a QTabWidget for Tkinter?
Software Programming • python python 3.x tkinter • • Rossere

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Example:from tkinter import * import tkinter.ttk as ttk root = Tk() root.title('test') nb = ttk.Notebook(root) nb.pack(fill='both', expand='yes') f1 = Text(root) f2 = Text(root) f3 = Text(root) nb.add(f1, text='page1') nb.add(f2, text='page2') nb.add(f3, text='page3') root.mainloop()
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How to ungroup data with pandas?
Software Programming • python pandas databank powerbi • • rosemadder

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I believe that what you seek can be achieved with reindex and repeat:df.reindex(df.index.repeat(df.FREQUENCIA)) Unfortunately I have no way to demonstrate the exit of the data because you climbed an image as a sample and I have no way to "copy" the data in this way
When the modal appears to me and I enter the data, and I give you create create creates me the double review, and I don't know why
Software Programming • python django • • morde

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Let's remember that form_valid perform the saved automatically, if you indicate res.save() you're going to perform a guard and then the form by detecting that all this right is going to perform a second guard.def form_valid(self, form, **kwargs): context = self.get_context_data(**kwargs) context['form'] = form usuario = self.request.user contenido = self.request.POST['contenido'] autor = PerfilUsuario.objects.get(user_id=usuario.id) res = Resegna(autor_id=autor.id, contenido=contenido) return super(CrearResegna2, self).form_valid(form) We just removed the save and only saved you once.
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Create function of data existence consultation generically
Software Programming • mvc cakephp • • gionna

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You can use the famous https://secure.php.net/manual/es/language.variables.variable.php PHP, in the documentation we find that there are variable properties and can be used in this way:$a = 'propiedad'; $this->{$a}; What would be wrong to do this:$this->propiedad; Like you said you already have the variable. $modelYou can do the following.$this->{$model}->find('count', array( 'conditions' => array($model . '.' . $campo => $this->request->data('Field')['Data'])));
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I can't get data from the database in Django
Software Programming • python python 3.x django django models • • courtlanda

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test by placing the import within the function in case you are changing the value for alaguna partdef empleado_list(request): from apps.empleado.models import Empleado empleado = Empleado.objects.all() return render(request, 'empleado/index.html', {'empleados':empleado}) the other one import is usually done as follows:from empleado.models import Empledo Try doing the import like that, if this works, you might get your project badly structured.The other, make sure you have added your apps to INSTALLED_APPS in setting.pyINSTALLED_APPS = [ ..... 'empleado', # aunque en tu caso podria ser 'apps.empleado' ]
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python error of empty DataFrame - no numerical data for the schedule
Software Programming • python pandas dataframe matplotlib • • charlenef

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From the point of view of Pandas, you're trying to draw a pole schedule that is not numerical, but complex objects are listed in each cell.In order to make use of Pandas ' methods, make sure that the dataFrame/Series contain scalary values rather than complex/composite objects.UPDATE: The reason for many errors is that at the time of the video was created, the CSV was in the file with other data https://www.youtube.com/watch?v=_D1xhwXUebI&t=407s what the team is giving. df[:HEAD_ROWS_TO_SHOW]:In [17]: df = pd.read_csv(TITANIC_CSV_DATA_URL) In [18]: df Out[18]: Unnamed: 0 Class Sex Age Survived Freq 0 1 1st Male Child No 0 1 2 2nd Male Child No 0 2 3 3rd Male Child No 35 3 4 Crew Male Child No 0 4 5 1st Female Child No 0 5 6 2nd Female Child No 0 6 7 3rd Female Child No 17 .. ... ... ... ... ... ... 25 26 2nd Male Adult Yes 14 26 27 3rd Male Adult Yes 75 27 28 Crew Male Adult Yes 192 28 29 1st Female Adult Yes 140 29 30 2nd Female Adult Yes 80 30 31 3rd Female Adult Yes 76 31 32 Crew Female Adult Yes 20 [32 rows x 6 columns]
Standby copy of SQLite3 database from any hosting
Software Programming • python python 3.x sqlite • • Alberto

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Example of the official hulp https://docs.python.org/3/library/sqlite3.html#sqlite3.Connection.backup import sqlite3 def progress(status, remaining, total): print(f'Copied {total-remaining} of {total} pages...') con = sqlite3.connect('existing_db.db') bck = sqlite3.connect('backup.db') with bck: con.backup(bck, pages=1, progress=progress) bck.close() con.close() You're downloading the file or you're down to the cloud or any other place.
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How to get keys from one dictionary and transform them into json.
Software Programming • python python 3.x json vkontakte api slovari • • zymir

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Module can be used for flexibility https://pypi.org/project/dpath/ :from copy import deepcopy import dpath.util as DU # pip install dpath template = { "action": { "type": "text", "label": "???" }, "color": "positive" } def gen_entry(val, template=template, path="/action/label"): d = deepcopy(template) DU.set(d, path, val) return d keys = list(CLASSES.keys()) bucket_size = 4 buttons = [[gen_entry(key, template=template, path="/action/label") for key in keys[i:i+bucket_size]] for i in range(0, len(keys), bucket_size)] keyboard_classes = dict( one_time=False, buttons=buttons ) result:In [51]: print(json.dumps(keyboard_classes, indent=2)) { "one_time": false, "buttons": [ [ { "action": { "type": "text", "label": "1" }, "color": "positive" }, { "action": { "type": "text", "label": "2" }, "color": "positive" }, { "action": { "type": "text", "label": "3" }, "color": "positive" }, { "action": { "type": "text", "label": "4" }, "color": "positive" } ], [ { "action": { "type": "text", "label": "5" }, "color": "positive" }, { "action": { "type": "text", "label": "6" }, "color": "positive" }, { "action": { "type": "text", "label": "7" }, "color": "positive" }, { "action": { "type": "text", "label": "8" }, "color": "positive" } ], [ { "action": { "type": "text", "label": "9" }, "color": "positive" }, { "action": { "type": "text", "label": "10" }, "color": "positive" }, { "action": { "type": "text", "label": "11" }, "color": "positive" } ] ] }
A

Find the number between the maximum and minimum on the list
Software Programming • python python 3.x list python 2.x cut • • amarantha

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array = [] n = int(input('Сколько в массиве будет элементов ')) for i in range(n): array.append(int(input(f'{i+1}-е число: '))) Let's say, after filling, you got that list:[3, 5, -1, 2, 13, 42, 3, 7, 1] You need minimum and maximum element indices: index_min = index_max = 0 value_min = value_max = array[0] for i, a in enumerate(array[1:], 1): if a < value_min: value_min = a index_min = i if a > value_max: value_max = a index_max = i Knowing them, cut out what's between them:>>> print(array[index_min+1:index_max]) [2, 13] UPD If the minimum element index can be greater than the maximum index, before the stoit cuts, check this:if index_min < index_max: print(array[index_min+1:index_max]) else: print(array[index_max+1:index_min]) Thank you. https://ru.stackoverflow.com/users/260769/crazyelf For clarification!
Python mistake: "int object is not iterable."
Software Programming • python python 3.x • • morde

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I don't understand what you need, but I tried to follow your code.import random numbers = [] k = 0 for i in range(20): n = random.randint(1, 20) numbers.append(n) print(n, end=',') for i in range(len(numbers)): try: if numbers[i] == numbers[i-1] == numbers[i+1]: k += 1 except IndexError: pass print("\n" + str(k))
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Location of several Canvas facilities
Software Programming • python python 3.x tkinter massives canvas • • chanisef

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Canvas needs to be housed once.The quadrants draw right at the designated coordinates.from tkinter import * field = [ [0,0,0,0], [0,0,0,0], [0,0,0,0], [0,0,0,0]] #двумерный массив root = Tk() # инициализируем tk root.geometry('1080x1920') rect = Canvas(root) # инициализируем класс Canvas() rect.pack(fill=BOTH, expand=True) # <<< размещаем канвас y_rt = 200 # координаты x, y для постановки фигур for i in field: # итерируем по столбцам матрицы y_rt += 50 x_rt = 100 for j in i: # итерируем по строкам матрицы rect.create_rectangle(x_rt, y_rt, x_rt+45, y_rt+45, fill='black', outline='green', width=2) # <<< сразу задаём нужные координаты x_rt += 50 root.mainloop()

How do we create a few empty pandas of data frams?

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