de1-python | Curated collection of DE1 's favorite kedro pieces | Awesome List library
kandi X-RAY | de1-python Summary
kandi X-RAY | de1-python Summary
Curated collection of DE1's favorite kedro utilities.
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Top functions reviewed by kandi - BETA
- Extract the data from the archive
- Check if given name is ignored
- Loads the partition
- Return a list of partitions
- Returns a pandas dataframe
- Call the api
- Retrieve all records from the API
- Generates a function which returns a lambda function
- Return the URL for the query
- Clean the raw_records field
de1-python Key Features
de1-python Examples and Code Snippets
# catalog.yml
empty_json_collection:
type: de1.empty.EmptyPartitionedDataSet
path: data/02_intermediate/json_collection
dataset: json.JSONDataSet
empty_json = catalog.load('empty_json_collection')
assert empty_json.load() == {}
# ca
# This is going to create 10 variables de0, de1,.., de9 and assign None to those
for ind in range(10):
globals()[f'de{ind}'] = None # Replace None with whatever you need to assign
df = pd.read_csv(file, header='infer', parse_dates=['date'])
df["confirmedInfections"] = df.groupby('ID')['confirmedInfections'].diff().fillna(df.confirmedInfections).astype(int)
for id in
for key in id_array:
df_temp = df.loc[key]
print(key)
df_temp.plot()
plt.show()
inner_set = set(list_one) & set(list_two)
EXPECTED_OUTPUT = [i for i in list_one + list_two if i not in inner_set]
# or
EXPECTED_OUTPUT = [i for i in list_one + list_two if not (i in list_one and i in list_two)]
action_results = results[0].get('action_results', [])
action_status = action_results[0].get('status', 'failed')
results_data = action_results[0].get('data', [])
sandbox_report = results_data[0].get('report', {})
artifact_item = dict()
for
result = {y : Data[x] for x in Data2 for y in Data2[x]}
{'AT1': [1, 2, 3, 4],
'AT2': [1, 2, 3, 4],
'AT3': [1, 2, 3, 4],
'BE1': [4, 2, 1, 6],
'BE2': [4, 2, 1, 6],
'BE3': [4, 2, 1, 6],
'DE1': [5, 7, 8, 9],
'DE
df.mask(df.apply(lambda r: r.str.contains('[a-zA-Z]{1}\d{2}')))
A B C D
0 Apple Pear NaN John
1 Cat NaN Mary Sponge
2 Hat NaN Bed NaN
df[~df.st
split = []
for value in df.index.str[:2].unique().values:
split.append(df[df.index.str[:2] == value])
def parse_mixed_number(f):
coef, numden = f.split('+')
num, den = numden.split('/')
return int(coef), int(num), int(den)
coef1, num1, den1 = parse_mixed_number(f1)
coef2, num2, den2 = parse_mixed_number(f2)
Community Discussions
Trending Discussions on Awesome List
QUESTION
Vim Awesome lists ESLint as a plugin: https://vimawesome.com/plugin/eslint. However, also on that page it says "...your plugins (and ESLint) are ..." implying ESLint is not a Vim plugin.
I am trying to work out how to apply ESLint to JavaScript files I am writing in Vim. I would like to do so (at least initially) without any plugins. I think it might help me to achieve this if I knew whether or not ESLint is a Vim plugin or not.
...ANSWER
Answered 2022-Feb-12 at 01:35No. It is a general linter for javascript. See https://eslint.org/
If you want to use ESLint in Vim, you can use a vim plugin (such as ALE or the eslint vim plugin) to help you. Or you can use the command line interface eslint offers if you don't want to use plugins.
QUESTION
I'm looking for a way to automatically add new list elements/levels to an existing list:
- my real-life use case has several thousand elements to add, so the manual example below for adding two elements is not feasible anymore,
- I need a list because that's the format expected by an API I'm trying to access.
Example:
...ANSWER
Answered 2021-Apr-12 at 14:41Iterate over names using map or using the same arguments replace map with lapply in which case no packages are needed.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install de1-python
You can use de1-python 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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