re-data | fix data issues before your users & CEO would discover | Data Visualization library
kandi X-RAY | re-data Summary
kandi X-RAY | re-data Summary
re_data is an open-source data reliability framework for the modern data stack. . Currently, re_data focuses on observing the dbt project (together with underlaying data warehouse - Postgres, BigQuery, Snowflake, Redshift).
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Top functions reviewed by kandi - BETA
- Generate a dataset
- Load metadata from a project
- Add dbt flags to command list
- Get target paths and re - data files
- Create a Slack alert
- Add a footer to the message
- Generate a message containing all good alerts
- Generate Slack message
- Send email notifications
- Log the notification status for alerts
- Builds a MIME message
- Sends a MIME email
- Return a list of the names of all the customers
- Write list to csv
- Generate random orders
- Generate a random date between start and end
- Decorator to track a command
- Return the default environment
- Run the main loop
- Serve re_data
- Generate random orders
- Generate CSV values from a file
- Generate random customer customers
- Detect the tables in the database
- List all company IDs
- Decorate a function to check version
re-data Key Features
re-data Examples and Code Snippets
Lines of Code : 15License : Strong Copyleft (CC BY-SA 4.0)
Copyimport re
data = '''\
90-JAN-09park22-APR-22mery
95-FEB-10test21-JAN-02abc
96-MAY-08matched18-APR-02car
'''.splitlines()
for x in data:
print(re.findall(r'\d{2}-\w{3}-\d{2}', x)[1])
22-APR-22
21-JAN-02
18-AP# Method 1
# Split the sentence into words and get the index of "Jurisdiction"
data = "Word Kerala High Court Jurisdiction"
words = data.split()
new_data = words[words.index('Jurisdiction')-3:words.index('Jurisdiction')]
print(new_data) #import re
data = 'Internet Specific 163 23.42 163 23.45 5401.44 30.78'
result = re.split("\s+(?=\d)", data)
print(result)
['Internet Specific', '163', '23.42', '163', '23.45', '5401import re
data = "ADFBDFDS"
split_after = re.split('(?<=B)', data) # ['ADFB', 'DFDS']
split_before = re.split('(?=B)', data) # ['ADF', 'BDFDS']
import re
data = ['1234 AA Amsterdam', '1234 Amsterdam',
'1234 Den Haag', '1234 AB Den Haag',
"1234 AA 's Gravenhage", "1234 AA 's-Gravenhage",
"1234 's Gravenhage", "1234 's-Gravenhage",
"1234 De Bilt", '1import re
data = {'Text': ['Hello I would like to get only the date which is 12-13 December 2018 amid this text.', 'Ciao, what I would like to do is to keep dates, e.g. 11-14 October 2019, and remove all the rest.','Hi, SO can you help meimport ast
import re
data = "{'name' : 'D'Artagnan'}"
data = re.sub(r"(\w)'(\w)", r"\1\\'\2", data)
print(ast.literal_eval(data))
{'name': "D'Artagnan"}
import re
data = '''kernel: apparmor = "STATUS" operation = "profile_load" profile = "unconfined" name = "nvidia_modprobe" comm = "apparmor_parser"
kernel: audit: apparmor = "STATUS" operation="profile_load" profile="unconfined" name="nvdataframe = dataframe.assign(gender=lambda ref: add_gender(ref))
if re.search("(womens?)", x.heading, re.IGNORECASE):
dataframe = dataframe.assign(gender=lambda df: df.apply(add_gender, axiimport pandas as pd
import re
data = [['flintstone,fred'], ['flintstone, wilma'], ['rubble, barney']]
df = pd.DataFrame(data, columns=['Name'])
df['Name'] = df['Name'].str.replace(', *', ', ', regex=True)
print(df)
Community Discussions
Trending Discussions on re-data
QUESTION
I am creating a dataset of IMDB Ratings and Reviews.
Link
I want to scrape all the ratings and reviews on this page. There are certain reviews without ratings, because of which my count of reviews and ratings is different.
I have tried various ways to handle null values but was not able to implement them successfully.
My Code:
...ANSWER
Answered 2021-Jun-12 at 08:03Unfortunately there isn't always a rating so the logic here fails:
QUESTION
When using the "publish" on the Azure Data Factory the ARM Template is generated
...ANSWER
Answered 2021-Jun-08 at 20:33I am not able to reproduce the issue but would suggest not including the factory in the ARM template as documented here: https://docs.microsoft.com/en-us/azure/data-factory/author-global-parameters#cicd
Including the factory will cause other downstream issues when using the automated publish flow for CI/CD such as removing the git configuration on the source factory, so deploying global parameters with PowerShell is the recommended approach. By not including the factory in the ARM template, this error will not occur. Feel free to continue the discussion here: https://github.com/Azure/Azure-DataFactory/issues/285
QUESTION
Need to split the 3rd row and have it in the below xml format.
My Excel data:
ID EMail UserGroupID Aravind Aravind@gmail.com Sports(12-34) Aravind2 Aravind2@gmail.com Sports(3-24-5),Health(5-675-85), Education(57-85-96)My XML data:
...ANSWER
Answered 2021-Jun-07 at 19:16Try something like this:
QUESTION
I'm using the library Devart.Data.PostgreSql (https://www.nuget.org/packages/Devart.Data.PostgreSql/) to interact with PostgreSQL from a C# application, but I run into problems when I try to connect to a PostgreSQL instance hosted in Azure that enforces TLS 1.2. From what I understand there is a problem with ciphers not being able to match during the handshake as I end up with this exception:
...ANSWER
Answered 2021-May-25 at 08:02Full support of TLS 1.2 in SSL connections for .NET Standard (.NET Core) Projects was implemented in dotConnect for PostgreSQL v7.20.1860 01-Apr-21.
With .NET Framework projects, use assemblies compiled for .NET Framework 4.7:
- "C:\Program Files (x86)\Devart\dotConnect\PostgreSQL\NET4\Devart.Data.dll"
- "C:\Program Files (x86)\Devart\dotConnect\PostgreSQL\NET4\Devart.Data.PostgreSql.dll"
Please select the "Do not install assemblies in the GAC" option in Setup Wizard. Otherwise, the runtime will use assemblies compiled for .NET Framework 2.0 from GAC.
QUESTION
I am trying to load more data from a database with a jQuery .load, and it works perfectly, but after the first load, it ist'n bringing more data.
Also, for bringing the first content, which is brought on the first page load, i use a PHP foreach() loop, like this as a basic example:
ANSWER
Answered 2021-May-20 at 02:36If you are trying to add to the existing content (not replace all of it) use $.post instead of load() and append the results.
load() replaces whatever is already existing inside the matching selector
QUESTION
I have read the MongoDB's official guide on Expire Data from Collections by Setting TTL. I have set everything up and everything is running like clockwork.
One of the reasons why I have enabled the TTL is because one of the product's requirements is to auto-delete a specific collection. Well, the TLL handles it quite well. However, I have no idea if the data expiration will also persist on the MongoDB backups. The data is also supposed to be automatically deleted from the backups. In case the backups get leaked or restored, the expired data shouldn't be there.
...ANSWER
Answered 2021-May-07 at 01:50Backup contains the data that was present in the database at the time of the backup.
Once a backup is made, it's just a bunch of data that sits somewhere without being touched. The documents that have been deleted since the backup was taken are still in the backup (arguably this is the point of the backup to begin with).
If you want to expire data from backups, the normal solution is to delete backups older than a certain age.
QUESTION
I'm using a Kaggle dataset of stroke and after making using randomforesrtclassifier and I used RandomSearchCV. I don't get it why it is showing n_features 16 and that's what makes me really confuse and I'm new to data science so I don't even know what I did wrong
ANSWER
Answered 2021-May-06 at 04:33 import pandas as pd
df = pd.read_csv("healthcare-dataset-stroke-data.csv")
print(df)
df.dropna(inplace=True)
df.isnull().sum()
df.corr()
final_dataset=pd.get_dummies(df,drop_first=True)
print(final_dataset)
import seaborn as sns
import matplotlib.pyplot as plt
corrmat= final_dataset.corr()
top_corr_features = corrmat.index
plt.figure(figsize=(20,20))
g=sns.heatmap(final_dataset[top_corr_features].corr(),annot=True,cmap="RdYlGn")
final_dataset.columns
X = final_dataset.drop("stroke",axis=1)
y = final_dataset['stroke']
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X,y, test_size=0.2)
y_train.shape
y_test.shape
from sklearn.ensemble import RandomForestClassifier
rf = RandomForestClassifier()
"""Hyperparameters"""
import numpy as np
n_estimators = [int(x) for x in np.linspace(100,1200,12)]
max_features = ["auto", "sqrt"]
max_depth = [int(x) for x in np.linspace(5,30,6)]
min_samples_split = [2,5,10,15,100]
min_samples_leaf = [1,2,5,10]
# Create the random grid
random_grid = {'n_estimators': n_estimators,
'max_features': max_features,
'max_depth': max_depth,
'min_samples_split': min_samples_split,
'min_samples_leaf': min_samples_leaf}
print(random_grid)
from sklearn.model_selection import RandomizedSearchCV
rf_random = RandomizedSearchCV(estimator = rf, param_distributions = random_grid,scoring='neg_mean_squared_error', n_iter = 10, cv = 5, verbose=2, random_state=42, n_jobs = -1)
rf_random.fit(X_train,y_train)
rf_random.best_params_##check what could be the best parameters and then appy GridSearchCV
rf2=RandomForestClassifier(n_estimators=900,min_samples_split=5,min_samples_leaf=5,max_features="sqrt",max_depth=10)##make a new model for that params
rf2.fit(X_train,y_train)
rf2.score(X_test,y_test)##score take X and Y
QUESTION
I'm trying to createDatasource on websphere image:websphere-traditional:9.0.5.5-ubi8
I'm trying to create datasource for Postgresql.Here is my code which I execute in postre-datasource.py file:
...ANSWER
Answered 2021-May-05 at 18:19The difference with the Oracle Datasource is that for PostgreSQL you're using a user-defined JDBC provider, so you can't leverage the JDBC driver-specific templates providing sets of driver-specific custom properties that are shipped with the WebSphere product.
SOLUTIONYou can try adding the custom property to your datasource like this:
QUESTION
I created a very simple .xlsx file for my test:
To read all text cell with OpenXML, I have no problem. The problem is when I want to read the images of the sheet. By iterating over my WorksheetPart.DrawingsPart.ImageParts all the image is listed but not by iterating over my cells.
I can only see the first and the second image and the CellReference is wrong. The B2 image has a reference of A1, the second B1 and the third doesn't appear in this case.
Is exist an other way to retrieve the cell of an ImagePart object ?
To read my images, I used the code on this SO post
...ANSWER
Answered 2021-May-05 at 16:49I solved my probleme by using the ClosedXML library:
QUESTION
I am the author of a .NET library that allows developers to process data provided by a 3rd party. Among the many features my library provides is the ability to validate that received data was indeed signed by the 3rd party in question. The 3rd party provides the following information:
- a string containing base64 encoded DER signature
- a string containing base64 encoded secp256r1/NIST P-256 public key
- a array of bytes containing the data that was encoded by the 3rd party using the private key
The developer expects my library to return a Boolean value indicating whether the data is legitimate or not. I was able to figure out how to convert the signature to Microsoft CNG supported format thanks to this StackOverflow question and, similarly, I figured out how to convert the public key into Microsoft CNG supported format thanks to this other StackOverflow question. I put it all together in the following C# code snippet:
...ANSWER
Answered 2021-Apr-04 at 07:08ECDsa.ImportSubjectPublicKey() is supported in .NET Core 3.0 and later, but not in .NET Framework. An alternative would be ECDsa.ImportParameters(), which according to the documentation is supported as of .NET Framework 4.7 and .NET Core 1.0. DSASignatureFormat is supported as of .NET 5.0.
So a possible alternative would be the current code, with the key import modified as follows:
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