csv | CSV data manipulation made easy in PHP | CSV Processing library
kandi X-RAY | csv Summary
kandi X-RAY | csv Summary
CSV data manipulation made easy in PHP
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Top functions reviewed by kandi - BETA
- Returns the current element .
- Creates an exception for a path not found .
- Creates an exception when an object is not cloned .
- Creates a new exception for an invalid chunk size .
- Creates an exception for invalid header name .
- Creates an exception for invalid delimiter .
- Creates an exception for the stream filter API .
- Creates a new exception for the missing stream seekability .
csv Key Features
csv Examples and Code Snippets
Lines of Code : 296License : Non-SPDX (Apache License 2.0)
Copydef make_csv_dataset_v2(
file_pattern,
batch_size,
column_names=None,
column_defaults=None,
label_name=None,
select_columns=None,
field_delim=",",
use_quote_delim=True,
na_value="",
header=True,
num_epochs= def decode_csv_v2(records,
record_defaults,
field_delim=",",
use_quote_delim=True,
na_value="",
select_cols=None,
name=None):
"""Convert CSV def decode_csv(records,
record_defaults,
field_delim=",",
use_quote_delim=True,
name=None,
na_value="",
select_cols=None):
"""Convert CSV records to tensors. Community Discussions
Trending Discussions on csv
QUESTION
I am working on a spatial search case for spheres in which I want to find connected spheres. For this aim, I searched around each sphere for spheres that centers are in a (maximum sphere diameter) distance from the searching sphere’s center. At first, I tried to use scipy related methods to do so, but scipy method takes longer times comparing to equivalent numpy method. For scipy, I have determined the number of K-nearest spheres firstly and then find them by cKDTree.query, which lead to more time consumption. However, it is slower than numpy method even by omitting the first step with a constant value (it is not good to omit the first step in this case). It is contrary to my expectations about scipy spatial searching speed. So, I tried to use some list-loops instead some numpy lines for speeding up using numba prange. Numba run the code a little faster, but I believe that this code can be optimized for better performances, perhaps by vectorization, using other alternative numpy modules or using numba in another way. I have used iteration on all spheres due to prevent probable memory leaks and …, where number of spheres are high.
ANSWER
Answered 2022-Feb-14 at 10:23Have you tried FLANN?
This code doesn't solve your problem completely. It simply finds the nearest 50 neighbors to each point in your 500000 point dataset:
QUESTION
When recognizing hand gesture classes, I always get the same class, although I tried changing the parameters and even passed the data without normalization:
...ANSWER
Answered 2022-Feb-17 at 18:48All rows need the same data size, of course some values can be empty in csv.
QUESTION
I ran the following code in RStudio:
...ANSWER
Answered 2022-Feb-04 at 14:54It depends on what you want to test (i.e. if you want to test looping or just want the result fast). I assume you want the result fast and in a clean code, in which case I would write this operation in the following way in Julia:
QUESTION
I have an iterable of bytes, such as
ANSWER
Answered 2022-Jan-10 at 08:29I used yield and re.finditer.
The yield expression is used when defining a generator function or an asynchronous generator function and thus can only be used in the body of a function definition. Using a yield expression in a function’s body causes that function to be a generator function
Return an iterator yielding match objects over all non-overlapping matches for the RE pattern in string. The string is scanned left-to-right, and matches are returned in the order found. Empty matches are included in the result.
If there are no groups, return a list of strings matching the whole pattern. If there is exactly one group, return a list of strings matching that group. If multiple groups are present, return a list of tuples of strings matching the groups. Non-capturing groups do not affect the form of the result.
The regular expression ([^\r\n]*)(\r\n|\r|\n)? can be divided into two parts to match (that is, two groups). The first group matches the data without \r and \n, and the second group matches \r, \n or \r\n.
QUESTION
On the Python using r front of the file path, can deal with escape sequence such as :
...ANSWER
Answered 2021-Nov-09 at 08:48You are looking for raw"..." string.
QUESTION
I have a very simple file:
...ANSWER
Answered 2021-Oct-12 at 14:00You can parse manually the file:
QUESTION
My elements are created from data in a CSV file that updates every 1 minute.
I'm trying to update these elements as follows:
- Remove those whose data is no longer in the
CSV file - Create new ones that appeared in the
CSV file - Keep without edit those that still exist in the
CSV file
The CSV file looks like this:
...ANSWER
Answered 2021-Oct-07 at 04:29"it becomes a huge mess". Yes it will. Let's look at part of your code. Remember that when you use append you return a selection of the appended elements:
QUESTION
Facebook constructed what it calls a relative wealth index for >19M micro regions (2.4km grid cells) around the world. They've shared the data (zip) in a csv file that lists the quad key ID, lat/long (which I believe is the top left corner of the tile cell), and the index value for the tile. It looks like this:
In their technical paper, they note that these 2.4km grid cells correspond to Bing tile level 14.
I've not worked with Bing tiles before. What's the best way to a) create or access a 2.4 tile grid that covers a polygon (e.g., Kenya) and b) join the wealth index values from the csv to this grid shapefile? I'd like to have a grid polygon with this wealth index attribute that I can use in a future analysis that extracts information from a raster by grid cell.
What I know/think I know so far:
sf::st_make_grid()would create a grid, but I don't think it would be the Bing grid.- Packages like {
rosm} will plot bing tiles, but this is not quite what I'm looking for. - Folks have created functions that take the quadkey input and return the upper left corner coordinate, e.g., https://gis.stackexchange.com/a/359636/22560. I'm not sure what, if anything, I can do with this.
[moved question from gis.stackexchange.com]
Edit 1: The RWI csv files no longer include the quadkey, but you can use the python package linked above to calculate it. There's a helpful tutorial here.
...ANSWER
Answered 2021-Sep-30 at 17:57This is an example for Mexico but that is a matter of adjusting the csv read. It seems the grid aligns well (see last plot) however either slippymath is wrong of the data refers to cell centers and not to upper left corner. For sure the results could be quicker but it seems quick enough (Mexico is one of the bigger countries). In the first bit i explore creating a grid (this case zoom 4) in the second actually reading the data. Note that the dimensions of the grid need to be fixed because one was regular while the other was not regular. This causes problems with st_as_sf.
QUESTION
I am trying to extract a specific field in a specific line of a CSV file.
I'm able to do it according to the number row but sometimes the row number of the file will change so this is not that flexible.
I wanted to try and do it to extract a specific name before the field I'm interested in.
CSV File ...ANSWER
Answered 2021-Sep-29 at 13:54You can try this
QUESTION
Is there a way to check the convergence when fitting a distribution in SciPy?
My goal is to fit a SciPy distribution (namely Johnson S_U distr.) to dozens of datasets as a part of an automated data-monitoring system. Mostly it works fine, but a few datasets are anomalous and clearly do not follow the Johnson S_U distribution. Fits on these datasets diverge silently, i.e. without any warning/error/whatever! On the contrary, if I switch to R and try to fit there I never ever get a convergence, which is correct - regardless of the fit settings, the R algorithm denies to declare a convergence.
data: Two datasets are available in Dropbox:
data-converging-fit.csv... a standard data where fit converges nicely (you may think this is an ugly, skewed and heavy-central-mass blob but the Johnson S_U is flexible enough to fit such a beast!):
data-diverging-fit.csv... an anomalous data where fit diverges:
code to fit the distribution:
...ANSWER
Answered 2021-Aug-14 at 10:26I suspect the right approach is to do a statistical test of the fitted parameters. Then you'll be able to set the significance level and accept/reject the hypothesis that the data follows this distribution.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install csv
PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.
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