joe | : running : A .gitignore magician in your command line | Command Line Interface library
kandi X-RAY | joe Summary
kandi X-RAY | joe Summary
A .gitignore magician in your command line. Joe generates .gitignore files from the command line for you.
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joe Examples and Code Snippets
Lines of Code : 33License : Strong Copyleft (CC BY-SA 4.0)
Copyimport json
# dummy JSON format
data = {
'employees' : [
{
'name' : 'John Doe',
'department' : 'Marketing',
'place' : 'Remote'
},
{
'name' : 'Jane Doe',
'department' : 'Software Engineerfrom pymem import *
from pymem.process import *
offsets = [0x50,0x30,0x98,0xF0,0x380]
pm = Pymem('***-Win64.exe')
gameModule = module_from_name(pm.process_handle, '***-Win64.exe').lpBaseOfDll
def GetPointer(base, offsets):
addr = df[df['Name']!='Jon']['Sales'].sum()
df[df[col_name]!=exclude_variable]['Sales'].sum()
>>> import re
>>> s = 'JohnnyB Cool & JoeCool'
>>> print (re.sub(r'\B[A-Z]', r' \g<0>', s))
Johnny B Cool & Joe Cool
string = "Hello {name}, you are on {street_name}!"
string = string.format(name="Joe", street_name="Main Street")
print(string)
string = "Hello {name}, you are on {street_name}!"
name = "Joe"
street_name = "Main Str# rule 1
mask = df_test.loc[
(df_test["CREATEDBY"] == "PORTAL")
& (df_test["STATUS"] == "INITIAL")
& (df_test["UPDATEDBY"] == "PORTAL"),
:,
].index
# rule 2
match = []
for i in mask:
for j, value in enumerate(dtargetmain['Target'] = targetmain['Target'].str[0]
idx, cols = pd.factorize(targetmain['Target'])
df['Primary'] = targetmain.reindex(cols, axis=1).to_numpy()[np.arange(len(targetmain)), idx]
targetmain['Target'] =cmap = {1: 'green', 2: 'yellow', 3: 'red'}
freq = df['Name'].map(df['Name'].value_counts())
colors = freq.map(cmap).radd('background-color: ')
df.style.apply(lambda s: colors)
frågor = [1, 2, 3, 4, 5]
computer_action = random.choice(frågor)
frågor.remove(computer_action)
org_list = []
for x in x_list:
org = Org(**x)
org_list.append(org)
Community Discussions
Trending Discussions on joe
QUESTION
I have three tables:
table1:
MODULE EMPLOYEE A Billy Bob A Billy Joe B John Doe B Jane Doe C Catey Ricetable2: Primary_Key = (MATERIAL_ID, MATERIAL_NUM)
MATERIAL_ID MATERIAL_NUM MODULE 11111111111 222222222222 A 11111111112 222222222223 B 11111111113 222222222224 Cand I need a query that will fill in my third table so that it looks like this:
table3: Foreign_Key = (MATERIAL_ID, MATERIAL_NUM)
MATERIAL_ID MATERIAL_NUM EMPLOYEE 11111111111 222222222222 Billy Bob 11111111111 222222222222 Billy Joe 11111111112 222222222223 John Doe 11111111112 222222222223 Jane Doe 11111111113 222222222224 Catey RiceI tried this query:
...ANSWER
Answered 2021-Jun-15 at 12:14I think you want to UPDATE the employee column, not INSERT new rows:
QUESTION
Basically there are rectangles (buildings) and circles (people).
The task I need to do is basically, when a function "fg" is called, every circle that is inside a given radius needs to run to the closest rectangle, and after all the circles inside the radius finds a rectangle, I need to report on a .txt file the names of the circles that run to each rectangle sorted alphabetically.
Such as:
Rectangle A: c1 c2 c3
Rectangle B: c7 c11 c20
...
And so on...
I need to store the addresses of the circles that run, on a vector of each rectangle. I tried to use qsort from stdlib.h, but maybe the function that i use to compare is wrong
(EDIT - full code to better understand):
...ANSWER
Answered 2021-Jun-15 at 02:51The third parameter needs to be the size of the actual array elements:
QUESTION
I know how to filter rows based on content that is rendered in the table, but how could I filter (using useFilters) a table based on information which isn't shown in the table, but is available in the data-set?
I figure I could let react-table show the tags/meta-data in the table and just hide it with styling, but that seems not too good.
Example data:
...ANSWER
Answered 2021-Jun-13 at 17:50My solution for this isn't the most elegant, but perhaps you can adapt it to fit your needs. I used the react-table examples to do most of the boilerplate, so the fields do not match with the example fields you gave but hopefully you can adapt it.
https://codesandbox.io/s/vigorous-ardinghelli-z7fc1?file=/src/App.js
In summary:
Any fields that you do not want shown you can hide on table creation by passing the hiddenColumns property an array of string IDs.
QUESTION
earlier discussion with help of @Joe Ferndz here: merging varying number of rows and columns by multiple conditions in python
how the dataset looks like
...ANSWER
Answered 2021-Jun-13 at 14:56You want to merge rows with type = 1 to rows having type = 2, but in the code/logic you showed doesn't involve use of pandas.merge method, which will actually do what you desire.
First segregate the rows with type = 1 and type = 2 into 2 different dataframes df1 and df2. Then simply merge these 2 dataframes on connector values. It will automatically map multiple rows having type = 1 in df1 with only one row having type = 2 in df2 (with same connector values). Also since you want to keep rows with a unique connector value that will never be merged, use how='outer' param to perform an outer merge and keep all values.
After merge, select what all columns you finally want and rename them accordingly:
QUESTION
Problem
I have a large JSON file (~700.000 lines, 1.2GB filesize) containing twitter data that I need to preprocess for data and network analysis. During the data collection an error happend: Instead of using " as a seperator ' was used. As this does not conform with the JSON standard, the file can not be processed by R or Python.
Information about the dataset: Every about 500 lines start with meta info + meta information for the users, etc. then there are the tweets in json (order of fields not stable) starting with a space, one tweet per line.
This is what I tried so far:
- A simple
data.replace('\'', '\"')is not possible, as the "text" fields contain tweets which may contain ' or " themselves. - Using regex, I was able to catch some of the instances, but it does not catch everything:
re.compile(r'"[^"]*"(*SKIP)(*FAIL)|\'') - Using
literal.eval(data)from theastpackage also throws an error.
As the order of the fields and the legth for each field is not stable I am stuck on how to reformat that file in order to conform to JSON.
Normal sample line of the data (for this options one and two would work, but note that the tweets are also in non-english languages, which use " or ' in their tweets):
...ANSWER
Answered 2021-Jun-07 at 13:57if the ' that are causing the problem are only in the tweets and desciption
you could try that
QUESTION
Lets say I had this sample of a mixed dataset:
...ANSWER
Answered 2021-Jun-12 at 21:41*I modified your initial data to get a better view of the output.
You can try with pivot_table instead of groupby:
QUESTION
I understand why it's important that all nodes on the Ethereum mainnet must execute any smart contract function call which changes the internal state of the contract or the chain. (For example, transfers from one account to another ec.)
What I'm wondering is, if its true that every node must execute every function called on any smart contract, even if the function doesn't result in a state change.
For example, if an ERC721 smart contract has a function "getName()" which just returns the name of the artwork the NFT represents which is stored in the NFt. Let's say joe connects to the network, and wants executes getName() on a contract. Does that mean that all 9,000 nodes end up spinning cycles executing getName(), even though Joe only needs it to be executed once? Does the gas cost of running "getName()" compensate each of the nodes for the overhead of running "getName()"? If that is true (that every node gets paid) will gas get even more expensive as more nodes join the pool?
Is one of the reasons gas prices are high is because of the inefficiency of every node having to execute every function called on a smart contract, even those that have no effect on state?
If so it would seem to be a very (and perhaps unnecessarily) expensive proposition to execute a computationally intensive but "pure" (no side effects) function on Ethereum, right?
Thanks. apologies for the possibly naive question!
...ANSWER
Answered 2021-Jun-11 at 08:41There's a difference between a transaction (can make state changes - but doesn't need to), and a call (read-only, cannot make state changes).
I'll start with the call simply because it's easier.
When a node performs a call, it executes the contract function that most likely reads from storage, stores to memory, and returns from memory.
Example:
QUESTION
In just starting to use JMeter I am trying to set variables of the form taskId_1, taskId_2, taskId_3 (defined in "User Defined Variables") and use them in HTTP Samples (REST requests). When I run postprocessors none of my JSON Extractors or Regular Expression Extractors save the values matched (and I tested the extracted regular expression using RegExp tester.)
The response sent from the GET request that I am parsing looks like (edited for readability):
...ANSWER
Answered 2021-Jun-10 at 18:00QUESTION
Trying to figure out how to subtract a constant from a column based on the presence of a value in another DataFrame. For example, if I have the below DataFrame a that contains a column called person name and count:
ANSWER
Answered 2021-Jun-10 at 15:33a["count"] -= a.person.isin(b.person)
QUESTION
I want to update records in table Users that are not present in table UserActions (see sqlfiddle demo or sql and data at gist.github)
My tables
...ANSWER
Answered 2021-Jun-10 at 08:14Perhaps you can just use NOT EXISTS:
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