rows | beautiful interface to tabular data
kandi X-RAY | rows Summary
kandi X-RAY | rows Summary
A common, beautiful interface to tabular data, no matter the format
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of rows
rows Key Features
rows Examples and Code Snippets
Lines of Code : 79License : Permissive (MIT License)
Copyfunction nQueensBitwiseRecursive(
boardSize,
leftDiagonal = 0,
column = 0,
rightDiagonal = 0,
solutionsCount = 0,
) {
// Keeps track of the number of valid solutions.
let currentSolutionsCount = solutionsCount;
// Helps to identify v def range(starts,
limits=None,
deltas=1,
dtype=None,
name=None,
row_splits_dtype=dtypes.int64):
"""Returns a `RaggedTensor` containing the specified sequences of numbers.
Each row of the returned def _tile_ragged_splits(rt_input, multiples, const_multiples=None):
"""Builds nested_split tensors for a tiled `RaggedTensor`.
Returns a list of split tensors that can be used to construct the
`RaggedTensor` that tiles `rt_input` as specified time_min = 0
time_max = 23
start_times = [6,5,10]
end_times = [18,19,17]
time_slots_customer = []
for s, e in zip(start_times, end_times):
time_slots_customer.append([t for t in range(time_min, time_max+1) if t not in range(s, e+1)])with self.input().open() as f:
p = XMLParser(huge_tree=True)
tree = parse(f, parser=p)
root = tree.getroot()
# RETURN LIST OF ATTRIBUTE DICTIONARIES
result_values = [dict(n.attrib) for n in root.findall(".//MYTAG")df.loc[df.jpgs.apply(lambda x: "123.jpg" not in x)]
numbers = [rd.sample(range(M), K) for _ in range(N)]
import random as rd, numpy as np
matrix = np.array(rd.sample(range(M), K*N)).reshape(N, K)
s = df1.set_index('Date').loc[2022]
df2['Amount'] = df2['Name'].map(s)
Name Amount
0 James NaN
1 Alex 29.0
2 Carl NaN
3 Rob 45.0
4 Kev 65.0
s = df1.set_indselect_type = [1,2]
df = df[df['MEETING_FILE_TYPE'].isin(select_type)]
Community Discussions
Trending Discussions on rows
QUESTION
I am getting an error in Android Studio to do with my Cursor.
I have the following line in my code
...ANSWER
Answered 2021-Nov-14 at 15:06I had an error like this.
My solution : change method getColumnIndex into getColumnIndexOrThrow.
QUESTION
Hello guys I need your help.
I have df with two columns A and B both of them are columns with string values
example:
...ANSWER
Answered 2022-Mar-21 at 15:58You can try:
QUESTION
I want to apply pagination on a table with huge data. All I want to know a better option than using OFFSET in SQL Server.
Here is my simple query:
...ANSWER
Answered 2022-Jan-30 at 12:24You can use Keyset Pagination for this. It's far more efficient than using Rowset Pagination (paging by row number).
In Rowset Pagination, all previous rows must be read, before being able to read the next page. Whereas in Keyset Pagination, the server can jump immediately to the correct place in the index, so no extra rows are read that do not need to be.
In this type of pagination, you cannot jump to a specific page number. You jump to a specific key and read from there. For this to perform well, you need to have a unique index on that key, which includes any other columns you need to query.
One big benefit, apart from the obvious efficiency gain, is avoiding the "missing row" problem when paginating, caused by rows being removed from previously read pages. This does not happen when paginating by key, because the key does not change.
Here is an example:
Let us assume you have a table called TableName with an index on Id, and you want to start at the latest Id value and work backwards.
You begin with:
QUESTION
I construct the following panel data with keys id and time:
ANSWER
Answered 2022-Jan-12 at 07:01As far as I understood, here's a dplyr suggestion:
QUESTION
I have a matrix with many rows and columns, of the nature
...ANSWER
Answered 2022-Jan-02 at 17:02How about this?
QUESTION
I need to make a triangle of triangle pattern of * depending on the integer input.
For example:
n = 2
...ANSWER
Answered 2021-Nov-02 at 16:55I have simplified the following code so it should now look more clear easy to understand than it used to be.
QUESTION
This is my code:
...ANSWER
Answered 2021-Dec-21 at 00:17You may find this easier using gridExtra::grid.arrange().
QUESTION
I am plotting some multivariate data where I have 3 discrete variables and one continuous. I want the size of each point to represent the magnitude of change rather than the actual numeric value. I figured that I can achieve that by using absolute values. With that in mind I would like to have negative values colored blue, positive red and zero with white. Than to make a plot where the legend would look like this:
I came up with dummy dataset which has the same structure as my dataset, to get a reproducible example:
...ANSWER
Answered 2021-Dec-08 at 03:15One potential solution is to specify the values manually for each scale, e.g.
QUESTION
In this programming problem, the input is an n×m integer matrix. Typically, n≈ 105 and m ≈ 10. The official solution (1606D, Tutorial) is quite imperative: it involves some matrix manipulation, precomputation and aggregation. For fun, I took it as an STUArray implementation exercise.
I have managed to implement it using STUArray, but still the program takes way more memory than permitted (256MB). Even when run locally, the maximum resident set size is >400 MB. On profiling, reading from stdin seems to be dominating the memory footprint:
Functions readv and readv.readInt, responsible for parsing integers and saving them into a 2D list, are taking around 50-70 MB, as opposed to around 16 MB = (106 integers) × (8 bytes per integer + 8 bytes per link).
Is there a hope I can get the total memory below 256 MB? I'm already using Text package for input. Maybe I should avoid lists altogether and directly read integers from stdin to the array. How can we do that? Or, is the issue elsewhere?
ANSWER
Answered 2021-Dec-05 at 11:40Contrary to common belief Haskell is quite friendly with respect to problems like that. The real issue is that the array library that comes with GHC is total garbage. Another big problem is that everyone is taught in Haskell to use lists where arrays should be used instead, which is usually one of the major sources of slow code and memory bloated programs. So, it is not surprising that GC takes a long time, it is because there is way too much stuff being allocation. Here is a run on the supplied input for the solution provided below:
QUESTION
Imagine a df in the following format:
...ANSWER
Answered 2021-Nov-09 at 20:04I think this algorithm does what you want, but it's not very efficient. It may provide others with a starting point for faster solutions.
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