kandi X-RAY | Snowfall Summary
kandi X-RAY | Snowfall Summary
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Top functions reviewed by kandi - BETA
- Draws the runnable
- Move position
- Draw the sprite at the given canvas
- Checks if the position is inside the image
- Reset position
- Resizes the size changed
- Creates a random Snowflake with the given width and height
- Resize the Snowflake
- Returns a random value
- Sets the activity to be saved
Snowfall Key Features
Snowfall Examples and Code Snippets
Community Discussions
Trending Discussions on Snowfall
QUESTION
I have the following dataset in R.
...ANSWER
Answered 2022-Feb-13 at 06:34We could use filter
from dplyr
:
QUESTION
I'm new to C and would greatly appreciate some help in fixing a bug in my program.
I've identified an edge case and I'm not quite sure how to resolve it.
Currently, the function will find and replace words and words within words given a text file. For instance, changing 'water' to 'snow' will change the string 'waterfall' into 'snowfall'. This is an intended result.
However, when I input 'waterfalls' to change the word 'waterfall', the program seems to get stuck in an endless loop. I'm not quite sure why but I would appreciate if anyone could point me in the right direction.
Here is my code:
...ANSWER
Answered 2022-Feb-08 at 07:14Ok. First, you have a severely undersized buffer. This:
QUESTION
I'm trying to grab snowfall data from the National Weather Service at this site:
https://www.nohrsc.noaa.gov/snowfall/
The data can be downloaded via the webpage with a 'click' on the file type in the drop down, but I can't seem to figure out how to automate this using python. They have an ftp archive, but it requires a login and I can't access it for some reason.
However, since the files can be downloaded via a "click" on the webpage interface, I imagine there must be a way to grab it using wget or urlopen? But I can't seem to figure out what the exact url address would be in this case in order to use those functions. Does anyone have any ideas on how to download this data straight from the website listed above?
Thanks!
...ANSWER
Answered 2021-Dec-26 at 20:00You can inspect links with Chrome Console.
Press F12, then click on file type:
Here an URL https://www.nohrsc.noaa.gov/snowfall/data/202112/sfav2_CONUS_6h_2021122618_grid184.nc
You can download it with python using Requests library
QUESTION
Thank you for viewing this post first and foremost. I am struggling with formatting some dates with corresponding values in R. I am using a dataset that includes monthly snowfall (VALUE) with its respective year/month (month).
Currently, I have it to where it includes all months of the year, but I would like to limit it down to just including October-March. I am using library(dplyr)
to help with the cleaning. Currently, I have the following code:
ANSWER
Answered 2021-Dec-07 at 00:52base::grepl()
does this nicely (?grepl
):
QUESTION
I am trying to clean a dataset in a way where I have a column of dates with the respective months and annual snowfall for the respective month.
I am struggling with doing so, and am asking for some help.
Instead of it being columns for each month, I would like it to be where I have one column with each year/month, including a column with the respective annual snowfall.
...ANSWER
Answered 2021-Nov-01 at 01:51Try this: Let's assume your dataframe is called 'df'!
QUESTION
Please help me
The below one is the problem...
write an expression to extract a new dataframe containing those days where the temperature reached at least 70 degrees, and assign that to the variable at_least_70. (You might need to think some about what the different columns in the full dataframe represent to decide how to extract the subset of interest.) After that, write another expression that computes how many days reached at least 70 degrees, and assign that to the variable num_at_least_70.
This is the original DataFrame
...ANSWER
Answered 2021-Oct-16 at 23:30As suggested by @HenryYik, remove the column selector:
QUESTION
Good day everyone, I'm trying to obtain the numerical value of 'review' what happens is that in the JSON it returns it as a String and therefore I cann't perform a sum that I did, resulting in a meaningless value
The objective is that, when someone makes a comment about an X product, the data is saved in Firebase in a JSON, the problem is that 'review' is saved as a String and not saved as a number
Is there a way to take this single piece of data and convert it to number?
This is the JSON response
...ANSWER
Answered 2021-Oct-06 at 00:00There is a line where you assign the .review
value to the globalReviews
variable as this is using +=
this shall be concatenating the string and that is the problem you are facing.
If you change that same line to: globalReviews += +review[i].review;
This will fix the error.
The reason why adding a +
sign in front of a variable works is because this sign is known as the Unary Plus Operator which converting the value to a number or in case the store value is not a number it will convert following the Unary Plus Operator documentation
To make this code safe and thus not add a possible NaN
you can failsafe to 0 by using the following syntax globalReviews += +review[i].review || 0;
QUESTION
For example, let the data frame, df, be
Location Snowfall London 0.4 London 1.3 NYC 4.3 NYC 0.2 Paris 3.0 London 2.0Is there a way to make a bar graph of the total snowfall by location?
London's bar length would be 3.7 and so on...
...ANSWER
Answered 2021-Sep-15 at 03:47Here a tidyverse
approach
QUESTION
I have a dataset that holds weather data for each month from 1st day to 20th of month and for each hour of the day throw a year and the last 10 days(with it's hours) of each month are removed.
The weather data are : (temperature - humidity - wind_speed - visibility - dew_temperature - solar_radiation - rainfall -snowfall)
I want to upsample the dataset as time series to fill the missing data of the days but i face many issue due too the changes of climate.
Here it what is tried so far
...ANSWER
Answered 2021-Aug-31 at 17:07There is a lot of manners to deal with missing timeseries values in fact.
You already tried the traditional way, imputing data with mean values. But the drawback of this method is the bias caused by so many values on the data.
You can try a genetic algorithm (GA), Support Vector Machine(SVR), autoregressive(AR) and moving average(MA) for time series imputation and modeling. To overcome the bias problem caused by the tradional method (mean), these methods are used to forecast or/and impute time series.
(Consider that you have a multivariate timeseries)
Here are some ressources you can use :
A Survey on Deep Learning Approaches
QUESTION
I have two modules:
Main:
...ANSWER
Answered 2021-Jun-06 at 16:32You can add if __name__ == "__main__":
in your main.py
file.
For example:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Snowfall
You can use Snowfall like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Snowfall component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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