logx | 简单高效的 Golang 日志库多级别支持:FINE INFO DEBUG WARN ERROR
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简单高效的 Golang 日志库
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- Format log record
- LoadLogger creates a new Logger .
- NewFileLogWriter creates a new FileLogWriter
- parseUnitNum parses base unit number .
- Main entry point
- loadFileFilter loads a FileLogWriter from a config
- getBackupName returns the name of a backup file .
- Error logs a message at ERROR level
- Warn logs a warning message .
- Fatal dispatches to the standard logger .
logx Key Features
logx Examples and Code Snippets
def reduce_weighted_logsumexp(logx,
w=None,
axis=None,
keep_dims=False,
return_sign=False,
name=None
Community Discussions
Trending Discussions on logx
QUESTION
I have a data frame that looks like:
print(file.head())
ANSWER
Answered 2022-Mar-24 at 16:25You could make a color column like so:
QUESTION
I'm looking to plot error bars on a line plot I did using pandas's .plot()
function
ANSWER
Answered 2022-Mar-21 at 18:23There is a property on pandas.DataFrame
objects named size
, and it's a number, equal to the number of cells in the DataFrame (the product of the values in df.shape
). You're trying to access a column named size
, but pandas chooses the property named size
before it chooses the column name size
. Since the single number has a shape of 1 but the columns in the dataframe have a length of 12, you're getting a shape mismatch.
Instead, use strings to index the dataframe and get the the columns:
QUESTION
A linear regression on dependent and predictor variable was run on simulated data after log transformation.
...ANSWER
Answered 2022-Mar-03 at 02:25when you log() an object/vector in R, it is in fact a natural log.
also note that the intercept is not transformed
so the resultant formula is actually:
ln(y) = 0.186 + 0.0424 * ln(x)
QUESTION
I'm trying to optimise numpy.packbits
:
ANSWER
Answered 2022-Jan-15 at 03:29There are several issue with the Numba implementation. One of them is that parallel loops breaks the constant propagation optimization in LLVM-Lite (the JIT-compiler used by Numba). This cause critical information like array strides not to be propagated resulting in a slow scalar implementation instead of an SIMD one, and additional unneded instructions so to compute the offsets. Such issue can also be seen in C code. Numpy added specific macros so help compilers to automatically vectorize the code (ie. use SIMD instructions) when the stride of the working dimension is actually 1.
A solution to overcome the constant propagation issue is to call another Numba function. This function must not be inlined. The signature should be manually provided so the compiler can know the stride of the array is 1 at compilation time and generate a faster code. Finally, the function should work on fixed-size chunks because function calls are expensive and the compiler can vectorize the code. Unrolling the loop with shifts also produce a faster code (although it is uglier). Here is an example:
QUESTION
The assignment is to write a recursive function that receives 2 whole non-negative numbers b, x
, and returns True
if there's a natural integer n
so that b**n=x
and False
if not. I'm not allowed to use any math operators or loops, except % to determine if a number is even or odd.
but i do have external functions that i can use. Which can add 2 numbers, multiply 2 numbers, and divides a number by 2. also i can write helper function that i can use in the main function.
this is what i got so far, but it only works if b
is in the form of 2^y
(2,4,8,16 etc)
ANSWER
Answered 2021-Nov-25 at 15:31Use the function you say you can use to multiply 2 numbers like:
QUESTION
I'm doing a Calculator, which consists of a form tag with a grid layout and inside two text areas and multiple buttons.
To make it more visually appealing i added a background color, and when i resize the window the background seems to not "cover" all the buttons.Calculator resized
After some research i found out that the form element width was smaller than the device witdh but the buttons contained in the grid layout did cover all the device width. Calculator, form size and grid
¿How can i make that the buttons "stay" in the form so that the background covers all? (This is an assigment and i DO need to use a form to contain the buttons, a gridlayout and be responsive)
...ANSWER
Answered 2021-Nov-11 at 18:39Hello and welcome to Stack Overflow!
Main problem:
In your calculator resized .png is happening because you have not set a min-width:
to your form element. Doing this allows for the structure of your element not to be sacrificed on screen resizing. Add the following CSS.
QUESTION
My plot has logx axis. So I want to show the tic marks. But due to the size of the tic values they overlap. For example:
But if I reduce the tic marks by the command
set xtics (1.0e-7,1.0e-5, 5.0e-4);
I want those logarithmic tics(like the first picture) but only three values written(like the second picture) without compromising the size. Is it possible?
...ANSWER
Answered 2021-Aug-22 at 06:09As I understand you basically want keep all the auto tics and grid lines, but remove 1e-6
and 1e-4
tic labels and add a 5e-4
tic label.
You could do it the following way. Check help xtics
and help format specifiers
.
Code:
QUESTION
Hi I have a program that plots some graph from data I have on CSV file (later would be extended to 4 CSV files as sources). I have 2 questions:
- how can I move the graph to the left a bit? (such that the first value of the x axis would be 1, that is 10^0 and I would not have that straigt line as values from the axis intersection to the 10^0)
- How can I put some text instead of the value I see on the right hand side (its the first value in the column of data: 0.031249....)?
Here is the graph:
And here is my code:
...ANSWER
Answered 2021-Jun-27 at 17:02To move graph to the left:
QUESTION
When I run the below code to make subplots with this data set
...ANSWER
Answered 2021-May-31 at 18:51The warning means that your installed version of pandas is using deprecated functionality in matplotlib. This was fixed in this pull request which was merged early April.
You can either install pandas from the master branch on github, or wait for the next pandas release that will probably include this fix. (Release 1.2.4 that was made 11 days later was only a bugfix release).
QUESTION
I'm working with the perfplot
library (which you can pip-install) which benchmarks functions and plots their performance.
When observing the plotted graphs, the labels are truncated. How can I prevent this?
Here's a simple MCVE:
...ANSWER
Answered 2020-Dec-26 at 13:31perfplot
seems to use matplotlib for the display. According to the github site, you can separate calculation and plotting, giving you the possibility to inject an autoformat (basically plt.tight_layout()
) with rcParams for this graph.
You can add the following before your script:
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