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This is a guide on Python List comprehension. List comprehension is a great way to write simple and easy to read Python codes. You can use it dictionaries and sets as well. Credits to Corey Schafer , creator of Python course materials. lets create a list In [115]:
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num = range(10) num |
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[0, 1, 2, 3, 4, 5, 6, 7, 8, 9] |
lets grab all the…
The sp_execute_external_script system stored procedure is the stored procedure which invokes the external environment to run an external script (either Python or R ) in a T-SQL script. This is quite highlights of the sp_execute_external_script stored and some short notes on it. let’s quickly look at the structure of the stored procedure sp_execute_external_script @language = N’language,…
Sometimes, you might need some packages which do not come with the standard Python libraries and you would want to install them separately. You will notice how frustrating it is when you get stuck because of a package you are missing. Sentdex on Youtube covers that accurately and you can watch him here: …
Adding actions to messages boxes Message Boxes, like most functions, return one of these values and their respective meanings Button Pressed Return Values: OK = $IDOK (1) CANCEL = $IDCANCEL (2) ABORT = $IDABORT (3) RETRY = $IDRETRY (4) IGNORE = $IDIGNORE (5) YES = $IDYES (6) NO = $IDNO (7) CONTINUE ** = $IDCONTINUE (11) TRY…
Untitled This is a quick script on how to save Python pivot_table in an excel file. Credit to pbpython In [1]:
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import sqlalchemy import pyodbc from pandas import DataFrame import pandas as pd |
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df = DataFrame ## connect to SqlServer Database and get information. try: import urllib params = urllib.quote_plus("DRIVER={SQL Server Native Client 11.0};SERVER=.\MSSQLSERVER_ENT;DATABASE=Antrak;Trusted_Connection=yes;") engine = sqlalchemy.create_engine('mssql+pyodbc:///?odbc_connect=%s"' % params) resoverall = engine.execute("SELECT * FROM FlightBookingsMain") df = df(resoverall.fetchall()) df.columns = resoverall.keys() except (RuntimeError, TypeError, NameError): print('Error in Conneccting') print(RuntimeError, TypeError, NameError) finally: print("connected") |
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connected |
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df.head() |
Out[8]: First Name Last Name Sex Phone Fax Email Address Booking Date Departure Date Arrival Date Address1 … Number of Passengers Total Cost Currency Numeric Code…
In this quick notes, we will have a look at Rank and Sort in Series and DataFrames in Python In [1]:
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import numpy as np import pandas as pd from pandas import Series, DataFrame |
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#make a series ser1 = Series(range(3), index=['C','A','B']) ser1 |
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C 0 A 1 B 2 dtype: int32 |
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#sort index of series ser1.sort_index() |
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A 1 B 2 C 0 dtype: int32 |
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#order or sort by values ser1.order() |
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C:\Users\adaba\Anaconda3\lib\site-packages\ipykernel\__main__.py:2: FutureWarning: order is deprecated, use sort_values(...) from ipykernel import kernelapp as app |
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C 0 A 1 B 2 dtype: int32 |
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ser1.sort_values() |
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C 0 A 1 B 2 dtype: int32 |
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from numpy.random import randn |
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#make a series by passing in 10 random numbers ser2 = Series(randn(10)) ser2 |
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0 -0.201751 1 1.534109 2 0.542825 3 1.421174 4 -0.173771 5 0.002573 6 -0.490208 7 -0.765340 8 -2.546040 9 -0.456699 dtype: float64 |
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#sort the values ser2.sort_values() |
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