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QUESTION
PREFACE
My error is a simple "Mathematical operation applied to non-numeric argument" error, but I think this arise from how I create a suite of user defined functions and use them within the terra::app()
function. I am going to describe the full workflow to elucidate what I am after, so please bare with me.
ISSUE
I am trying to apply a statistical-empirical topographic correction to Sentinel 2A data in R. To apply the topographic correction, I have appended rasters of solar azimuth, solar zenith, and slope and aspect to the multiband scene. I am first taking a random sample of each band within a scene to get its intensity value as well as the corresponding solar zenith, aspect, and slope values. From there, I calculate the cosine of the solar incident angle for each sampled cell using the zenith, azimuth, slope and aspect using a user-define function. Then, I run a linear regression between the cosine of solar incident angle and the respective intensity value for each band. I then apply a user-defined function that calls the solar incident function above using the terra::app()
function to finalize the topographic information from these linear regressions. This works on one core just fine with fake data, but is painfully slow with real Sentinel data, so I want it to work on multiple cores. When I try to run on multiple cores I get the error:
ANSWER
Answered 2022-Mar-24 at 20:38It dawned on me after a good night's sleep that the answer might have been much simpler than I realized. I just needed to run the cos_i()
function using terra::app()
, but everything else would work fine and quickly using standard raster algebra provided by the terra::
package. Therefore, I could eliminate the RAST_CORR()
function and make the extra steps basic raster algebra.
QUESTION
I am trying to develop a custom tool which will allow the user to select a line and they will be given the slope distance, azimuth and zenith angle of the line. A small table with all that info will then appear on their screen.
I currently have a little bit of code written which you can see below:
...ANSWER
Answered 2022-Mar-09 at 08:47The code below might help you with creating class variables of the selected edge's vertex start & end positions of X, Y, Z coordinates. These values might be needed to calculate some math formulas. Let me know if it helped or not.
I recommend encapsulating your code with Ruby modules for variable or method names not clashing with other SketchUp scripts on the Plugins folder.
QUESTION
Good Day. Am a beginner in flutter and here's what am trying to achieve.
Am creating a form where users can edit payout account details. Account Name is a text field, Account Number is a Text Field, i want Bank Name to be a drop down because i'm using bulk payment system, so the bank name would need to match the slug or else it'll show invalid on my payment merchant.
Here's the code for the form if all fields are just text fields..
...ANSWER
Answered 2021-Dec-02 at 03:46Use DropDownSearch() widget for that as below. Add following dependency in your pubspec.yml :
QUESTION
I have been trying to read data from my json output sent from a flask json dump via javascript.
...ANSWER
Answered 2021-Nov-25 at 18:15For now data
is a JSON content : a string, you need to load it as a JS structure, here a list of objects
Parse the JSON, and also use data[i].total_amount
and not data.total_amount
QUESTION
I have two array of objects:
...ANSWER
Answered 2021-Sep-02 at 08:40Just loop though watches
, find the matching color from watch_colors
with color
value in watches
array is same as id
value in watch_colors
array. i.e, color.id === watch.color
QUESTION
I recently ran into an issue with calculating the clearness index and the extraterrestrial irradiance using the PVLIB functions. Basically, the numbers do not tally up.
This is my raw data that I ran the function for (my Datetime is already timezone aware):
I then ran the below code to get the clearness index:
...ANSWER
Answered 2021-May-18 at 10:31The problem is in this line:
QUESTION
I am fairly new to python and would like to calculate sun's position (azimuth and zenith angle) from a datetime column of a dataframe.
I found Astral module for this task and also made some correct calculations from it using the individual timestamps. But when I try to process the whole datetime column, I get an error.
I also tried to localize the dataframe (datetime column) to a specific timezone, but the error remains the same.
Help appreciated.
Here is the code:
...ANSWER
Answered 2021-Apr-28 at 08:19Not sure how you got your code sample to work but basically, you can apply
the solar_azimuth
function to a pandas.Series
like e.g.
QUESTION
I'm trying to solve the second law of diffusion for spheres PDE using fipy. I've checked the documentation but there's no example for such a case, so I was wondering if it is actually possible to do it, as I was not successful reaching for the adequate equation definition structure. I consider azimuthal and zenith angular symmetries, so the equation I need to solve results in the following.
Of course, boundary conditions are fixed at r=0 and r=R at fixed values and the initial concentration is also known. I also tried to follow the ideas presented in here but didn't get any clear result for it. Any ideas would be welcomed.
The code I'm using at the moment is the following:
...ANSWER
Answered 2021-Feb-18 at 14:29There are a few things going on:
- Some solvers don't like the spherical mesh, probably because of the enormous range in cell volumes. The SciPy
LinearLUSolver
seems to work. Judicious preconditioning might help other solvers. - Eq. (45) in the paper you linked below defines the flux, but you are constraining the gradient. You need to divide by the diffusivity.
X_ca
is in units of[stoichiometry]
, butBoundaryR1_ca
is in units ofmol/(m**2 * s)
(ormol/m**4
after dividing byD_ca
. You need to divide byC_ca_max
to get[stoichiometry]/m
, as you're solving something halfway between Eq. (43) and Eq. (52).- No-flux is the natural boundary condition for FiPy, so there's no need to constrain at
mesh.facesLeft
. - The gradient at
mesh.facesRight
should be constrained to a vector (even in 1D).
With the changes below, I get behavior that looks consistent with Fig. 7 in Mayur et al..
QUESTION
I want to use the code from Polar histogram in Python for given r, theta and z values, replaced with my dataframe columns df.azimuth
, df.zenith
, and df.ozone
(average for each bin).
I'm having issues converting dataframe .values
format, to a polar plot format.
I would like to produce a polar plot with my DataFrame columns df.azimuth
, df.zenith
, and df.o3
average for each bin as showed on the plot example that I attached here.
I'm having issues converting DataFrame format, to a polar plot format. I don't know how to do this from a DataFrame format. Any help is welcome.
That is my code so far, but it is not showing the plot correctly.
Dataframe (o3Pan_wff):
...ANSWER
Answered 2020-Sep-07 at 16:58- Do not change the scope of the question, after it has been answered.
- There seems to be two main issues
x
,y
, andz
are the incorrect columns..iloc[:,0]
is thetime
column.iloc[:,1]
is thezenith
column.iloc[:,2]
is theaximuth
columnUFuncTypeError
occurs becauseradius
is the'time'
column of the dataframe.
azimuth
should be in radians, according to the cited sample code.
zenith
needs to be in radians for thedensity
function to return the expected averges.o3
is assumed to be the concentration and will be used as theweight
- The concentration of the
o3
column is normalized by usingdensity=True
insidenp.histogram2d()
.
- The concentration of the
- There is no reason to extract the values of each dataframe column, with
.values
. The operations will accept a dataframe column.
QUESTION
I applied the following function for each row in my dataframe (df), and using a Lat0/Lon0, direction(azimuth) and distance(dist) I got the new Lat/Lon in "degree minute second":
...ANSWER
Answered 2020-Aug-22 at 13:23If you remove .format_decimal()
, your location
function would return Point
instances instead of strings (see https://geopy.readthedocs.io/en/stable/#geopy.point.Point), where decimal coordinates can easily be extracted as attributes:
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