parade | A simple and out-of-box toolkit to handle data work | Data Migration library
kandi X-RAY | parade Summary
kandi X-RAY | parade Summary
Parade is a simple and out-of-box toolkit to handle data work such as ETL, data analysis, BI reports, etc, and enable fast and flexible integration mechanism with applications. It can be used for a wide range of purposes, from composing & scheduling data workflow to providing unified web-APIs of data query.
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Top functions reviewed by kandi - BETA
- Store data in table
- Get a config entry
- Convert a type to a SQLite type
- Creates an engine connection
- Takes a pandas dataframe
- Create datetime strings
- Execute the engine
- Shortcut for help messages
- Short description
- Run the pipeline
- Called when a transaction is executed
- Run workflow
- Execute the task
- Renders templates
- Load data from source
- Store data in a DataFrame
- Submit a flow
- Create a flow
- Load a configuration entry
- Load a configuration file
- Generate the templates
- Store dataframe to database
- Return a recorder instance
- Returns the project id
- Load a query
- Run the engine
parade Key Features
parade Examples and Code Snippets
Lines of Code : 2License : Strong Copyleft (CC BY-SA 4.0)
Copyfcue=list(map(lambda x: os.path.join(root,x), (f for f in files if f.lower().endswith('.cue'))))
div[data-testid='search-results-subnav']+div
pst_hldr = wait.until(cond.visibility_of_element_located((By.CSS_SELECTOR, "div[data-testid='search-results-subnav']+div")))
driver.find_elementyear = df['year']
df10_1920 = df.loc[(year > 1920) & (year < 1940)]
df10_1960 = df.loc[(year > 1960) & (year < 1980)]
df10_2000 = df.loc[year >2000]
for song in alist:
if song not in alist: # <-- should be `blist`
blist.append(song)
for song in alist:
if song not in blist: # <-- should be `blist`
blist.append(song)
customer_ids = customers.index.get_level_values(0)
invoices = pd.Series(customers.index.get_level_values(1))
first_invoices = invoices.groupby(customer_ids, sort=False).first()
CustomerID
17850.0 536365
13047.0 def remove_floats(row):
if isinstance(row, str):
return row
else:
return None
df = pd.DataFrame({'col':['balh_1', 'blah_2', 1.0, 'blah_3']})
for key in df:
df[key] = df[key].apply(remove_floats)
df.from tkinter import *
root = Tk()
Console = Text(root)
Console.pack()
root.mainloop()
def write(*message, end = "\n", sep = " "):
text = ""
for item in message:
text += "{}".format(item)
online_rt = pd.DataFrame({'Quantity':[-1,2,0],
'country':['Hong Kong','USA','Hong Kong']})
filtered_df = online_rt.query("Quantity < 0 & country == 'Hong Kong'")
print (filtered_df)
Quantity country
filtered_df = online_rt[(online_rt['Quantity']<0) & (online_rt['country']=='Hong Kong')]
Community Discussions
Trending Discussions on parade
QUESTION
I am reading words from an image(licence) and I know that every word on this licence is uppercase so...If it picks up background noise and returns lowercase letters alone or in words I know that that is not useful/or incorrect information.
From a licence this data is returned....
aaaa——————————————aESESESsSs—— VICTORIA AUSTRALIA JANE CITIZEN 87652301 FLAT 10 " 77 SAMPLE-PARADE . ‘ KEW-EAST VIC 3102 .\ e ol LICENCE EXPIRY DATE OF BIRTH 20-05-2019 29-07-1983 \ ' ) EICENCE TYRE ‘CONDITIONS Alh 7 al CAR A\ SBEAXYZ 28071985 SN |_vicroads | =< AN e
One of my points of sanitising this into useful info is to remove all words and letters with lowercase characters. Will I need to split by space, then iterate through each word and remove if it finds lowercase or is there a regex pattern I can use?
I tried this text = text.replace(/[^A-Z0-9 \n]/g, '') but would like to also remove full words with lowercase letters as oppose to just all lowercase letters by themselves.
Thanks
...ANSWER
Answered 2021-Feb-16 at 23:32Use
QUESTION
We're using Google Maps' API in our Rails application, with a VueJS frontend.
I don't think any of the above is important because I've checked the URL JSON response in the browser and it's missing locations. It seems to work ok for city names, postcodes - but it's not showing the same suggestions as when I type into a location field in Google Calendar for example.
Request URL (with obvious tokens/auth keys removed):-
...ANSWER
Answered 2021-Feb-04 at 19:30Doing the same search and using establishment as the types parameter returns the result you are probably after.
According to the types documentation:
establishmentinstructs the Place Autocomplete service to return only business results.
Request with types=establishment: https://maps.googleapis.com/maps/api/place/autocomplete/json?types=establishment&input=Ritz%20London&language=en&key=your_api_key_here
QUESTION
n = 5 df10_1920 = df10[(df10.year > 1920) & (df10.year < 1940)].sample(n)
df10_1960 = df10[(df10.year > 1960) & (df10.year < 1980)].sample(n)
df10_2000 = df10[df10.year > 2000].sample(n)
ANSWER
Answered 2021-Jan-17 at 16:27You can use Pandas' .loc method.Here is the code:
QUESTION
I hate to trouble anyone with this, but I've been on this issue for days.
Basically, I want to scrape the Psychological Torture Methods from this web page: https://en.m.wikipedia.org/wiki/List_of_methods_of_torture
This is the exact information I would like to acquire:
Ego-Fragmentation
Learned Helplessness
Chinese water torture
Welcome parade (torture)
And below is my code:
...ANSWER
Answered 2021-Jan-16 at 06:01When in doubt, brute force it and pretend like you'll come back to it later
QUESTION
I am creating a program which generates a random list of songs, and has a function such that if a user wants to save a song from the random generated list, the user should click the button next to it. Then the user can print the songs he/she saved on a new window, but the function for that in my code seems to only print the saved songs in the terminal and I only get empty window. How can I implement this correctly?
This the code:
...ANSWER
Answered 2021-Jan-09 at 14:55I thing all your problem is because you use silimar names of variables alist and blist and finally you used wrong list in code
QUESTION
I have the following tuple
...ANSWER
Answered 2020-Dec-07 at 13:14This works:
QUESTION
I'm using the Online Retail dataset from the UCI Machine Learning Repository in pandas, and I'm setting a multi-index consisting in CustomerID as first level, and InvoiceNo as second level. Here's the code:
ANSWER
Answered 2020-Dec-06 at 17:40Feel like there's something a little shorter, but seems to work. Pull out the invoice numbers, groupby the customer ID, pick first invoice in each group:
QUESTION
I am trying to make a Thanksgiving Bingo generator and want to make it so the phrases appear only once.
Not sure what direction to take. Here is the code so far:
...ANSWER
Answered 2020-Nov-13 at 21:29I think Shuffle and pop like @epascarello commented out is the perfect way in this case, here is an example:
QUESTION
I am trying to get value from a bigger json ,But i am nearly lost completely in implementing it.Kindly guide me.I have given my json string and c# code i have tried.
c# Code:
...ANSWER
Answered 2020-Sep-13 at 09:24I use JObject for json,it works like this:
QUESTION
I am trying to return several text inputs based on the data in the state below (placementData) and then handle updating their respective state using a single onChange handler.
I can comfortably .map and return the inputs and their placeholders, values etc but I am stuck with how to carry out the onChange.
I really don't want to update each one separately/
...ANSWER
Answered 2020-Aug-31 at 14:15handleInputChange(e, key, i) is how you're calling your handler, but the signature of your handler is (e, index). So, you're passing the key in where you're supposed to be passing in the index.
Update your handler to this and I think you should be good to go.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install parade
You can use parade like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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