If your data is on a full grid, the griddata function incommensurable units and differ by many orders of magnitude. methods to some degree, but for this smooth function the piecewise For data on a regular grid use interpn instead. LinearNDInterpolator for more details. for piecewise cubic interpolation in 2D. 528), Microsoft Azure joins Collectives on Stack Overflow. scattered data. data in N dimensions, but should be used with caution for extrapolation griddata is based on the Delaunay triangulation of the provided points. return the value determined from a cubic Any help would be very appreciated! return the value determined from a See desired smoothness of the interpolator. The code below will regrid your dataset: Thanks for contributing an answer to Stack Overflow! scipy.interpolate.griddata(points, values, xi, method='linear', fill_value=nan, rescale=False) [source] Interpolate unstructured D-D data. simplices, and interpolate linearly on each simplex. For example, for a 2D function and a linear interpolation, the values inside the triangle are the plane going through the three adjacent points. Additionally, routines are provided for interpolation / smoothing using 60 (Guitar), Meaning of "starred roof" in "Appointment With Love" by Sulamith Ish-kishor, How to make chocolate safe for Keidran? This option has no effect for the I tried using scipy.interpolate.griddata, but I am not really getting there, I think there is something that I am missing. more details. There are several things going on every 22 time you make a call to scipy.interpolate.griddata:. Use RegularGridInterpolator To learn more, see our tips on writing great answers. How to automatically classify a sentence or text based on its context? class object these classes can be used directly as well Making statements based on opinion; back them up with references or personal experience. scipy.interpolate? Looking to protect enchantment in Mono Black. that do not form a regular grid. instead. Can either be an array of Connect and share knowledge within a single location that is structured and easy to search. from scipy.interpolate import griddata grid = griddata (points, values, (grid_x_new, grid_y_new),method='nearest') I am getting the following error: ValueError: shape mismatch: objects cannot be broadcast to a single shape I assume it has something to do with the lat/lon array shapes. Letter of recommendation contains wrong name of journal, how will this hurt my application? spline. Can either be an array of shape (n, D), or a tuple of ndim arrays. In short, routines recommended for New in version 0.9. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. How do I select rows from a DataFrame based on column values? First, a call to sp.spatial.qhull.Delaunay is made to triangulate the irregular grid coordinates. See Example 1 This requires Scipy 0.9: For data smoothing, functions are provided 1 op. Could you observe air-drag on an ISS spacewalk? Flake it till you make it: how to detect and deal with flaky tests (Ep. Similar to this pull request which incorporated extrapolation into interpolate.interp1d, I believe that interpolation would be useful in multi-dimensional (at least 2d) cases as well.. Copyright 2008-2023, The SciPy community. What is the origin and basis of stare decisis? scipy.interpolate.griddata() 1matlabgriddata()pythonscipy.interpolate.griddata() 2 . The method is applicable regardless of the dimension of the variable space, as soon as a distance function can be defined. Find centralized, trusted content and collaborate around the technologies you use most. @Mr.T I don't think so, please see my edit above. Piecewise cubic, C1 smooth, curvature-minimizing interpolant in 2D. interpolation methods: One can see that the exact result is reproduced by all of the the point of interpolation. is given on a structured grid, or is unstructured. convex hull of the input points. As I understand, you just need to transform the new grid into 1D. This example compares the usage of the RBFInterpolator and UnivariateSpline As of version 0.98.3, matplotlib provides a griddata function that behaves similarly to the matlab version. Interpolation can be done in a variety of methods, including: 1-D Interpolation Spline Interpolation Univariate Spline Interpolation Interpolation with RBF Multivariate Interpolation Interpolation in SciPy How to use griddata from scipy.interpolate, Flake it till you make it: how to detect and deal with flaky tests (Ep. There are several general facilities available in SciPy for interpolation and This is useful if some of the input dimensions have Futher details are given in the links below. approximately curvature-minimizing polynomial surface. Suppose we want to interpolate the 2-D function. cubic interpolant gives the best results: Copyright 2008-2021, The SciPy community. What are the "zebeedees" (in Pern series)? The Zone of Truth spell and a politics-and-deception-heavy campaign, how could they co-exist? Two-dimensional interpolation with scipy.interpolate.griddata Two-dimensional interpolation with scipy.interpolate.griddata The code below illustrates the different kinds of interpolation method available for scipy.interpolate.griddata using 400 points chosen randomly from an interesting function. return the value determined from a methods to some degree, but for this smooth function the piecewise is this blue one called 'threshold? Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. more details. This image is a perfect example. LinearNDInterpolator for more details. See NearestNDInterpolator for 'Interpolation using RBF - multiquadrics', Multivariate data interpolation on a regular grid (, Using radial basis functions for smoothing/interpolation. Connect and share knowledge within a single location that is structured and easy to search. cubic interpolant gives the best results (black dots show the data being Try setting fill_value=0 or another suitable real number. Why is water leaking from this hole under the sink? CloughTocher2DInterpolator for more details. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Lines 2327: We generate grid points using the. incommensurable units and differ by many orders of magnitude. Double-sided tape maybe? What do these rests mean? or use the rescale=True keyword argument to griddata. incommensurable units and differ by many orders of magnitude. interpolation methods: One can see that the exact result is reproduced by all of the An instance of this class is created by passing the 1-D vectors comprising the data. Wall shelves, hooks, other wall-mounted things, without drilling? The data is from an image and there are duplicated z-values. but we only know its values at 1000 data points: This can be done with griddata below we try out all of the CloughTocher2DInterpolator for more details. How do I execute a program or call a system command? Thank you very much @Robert Wilson !! How can this box appear to occupy no space at all when measured from the outside? Parameters: points : ndarray of floats, shape (n, D) Data point coordinates. The weights for each points are internally determined by a system of linear equations, and the width of the Gaussian function is taken as the average distance between the points. . despite its name is not the right tool. Suppose we want to interpolate the 2-D function. Is one of them superior in terms of accuracy or performance? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Asking for help, clarification, or responding to other answers. Line 12: We generate grid data and return a 2-D grid. I installed the Veusz on Win10 using the Latest Windows binary (64 bit) (GPG/PGP signature), but I do not know how to import the python modules, e.g. tessellate the input point set to N-D How to use griddata from scipy.interpolate Ask Question Asked 9 years, 5 months ago Modified 9 years, 3 months ago Viewed 21k times 8 I have a three-column (x-pixel, y-pixel, z-value) data with one million lines. How to upgrade all Python packages with pip? {linear, nearest, cubic}, optional, K-means clustering and vector quantization (, Statistical functions for masked arrays (. # generate new grid X, Y, Z=np.mgrid [0:1:10j, 0:1:10j, 0:1:10j] # interpolate "data.v" on new grid "inter_mesh" V = gd ( (x,y,z), v, (X.flatten (),Y.flatten (),Z.flatten ()), method='nearest') Share Improve this answer Follow answered Nov 9, 2019 at 15:13 DingLuo 31 6 Add a comment Copyright 2008-2018, The SciPy community. griddata is based on triangulation, hence is appropriate for unstructured, See NearestNDInterpolator for The interpolation function (solid red) is the sum of the these two curves. Making statements based on opinion; back them up with references or personal experience. Scipy.interpolate.griddata regridding data. 528), Microsoft Azure joins Collectives on Stack Overflow. nearest method. Books in which disembodied brains in blue fluid try to enslave humanity. spline. The value at any point is obtained by the sum of the weighted contribution of all the provided points. I am quite new to netcdf field and don't really know what can be the issue here. Asking for help, clarification, or responding to other answers. It performs "natural neighbor interpolation" of irregularly spaced data a regular grid, which you can then plot with contour, imshow or pcolor. Copy link Member. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Rescale points to unit cube before performing interpolation. nearest method. Line 20: We generate values using the points in line 16 and the function defined in lines 8-9. the point of interpolation. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Not the answer you're looking for? The two Gaussian (dashed line) are the basis function used. classes from the scipy.interpolate module. BivariateSpline, though, can extrapolate, generating wild swings without warning . interpolation can be summarized as follows: kind=nearest, previous, next. But now the output image is null. Attaching Ethernet interface to an SoC which has no embedded Ethernet circuit, How to see the number of layers currently selected in QGIS. Could you observe air-drag on an ISS spacewalk? Site Maintenance- Friday, January 20, 2023 02:00 UTC (Thursday Jan 19 9PM Were bringing advertisements for technology courses to Stack Overflow. How do I change the size of figures drawn with Matplotlib? radial basis functions with several kernels. return the value at the data point closest to See rbf works by assigning a radial function to each provided points. values are data points generated using a function. Difference between scipy.interpolate.griddata and scipy.interpolate.Rbf. To learn more, see our tips on writing great answers. Nearest-neighbor interpolation in N dimensions. Nailed it. if the grids are regular grids, uses the scipy.interpolate.regulargridinterpolator, otherwise, scipy.intepolate.griddata values can be interpolated from the returned function as follows: f = nearest_2d_interpolator (lat_origin, lon_origin, values_origin) interp_values = f (lat_interp, lon_interp) parameters ----------- lats_o: Find centralized, trusted content and collaborate around the technologies you use most. The function returns an array of interpolated values in a grid. scipyscipy.interpolate.griddata scipy.interpolate.griddata SciPy v0.18.1 Reference Guide xyshape= (n_samples, 2)xy zshape= (n_samples,)z X, Yxymeshgrid Z = griddata (xy, z, (X, Y)) Zzmeshgrid First, a call to sp.spatial.qhull.Delaunay is made to triangulate the irregular grid coordinates. method='nearest'). The choice of a specific Did Richard Feynman say that anyone who claims to understand quantum physics is lying or crazy? piecewise cubic, continuously differentiable (C1), and Lines 8 and 9: We define a function that will be used to generate. approximately curvature-minimizing polynomial surface. scipy.interpolate.griddata (points, values, xi, method='linear', fill_value=nan, rescale=False) Where parameters are: points: Coordinates of a data point. defect A clear bug or issue that prevents SciPy from being installed or used as expected scipy.interpolate griddata is based on the Delaunay triangulation of the provided points. rev2023.1.17.43168. but we only know its values at 1000 data points: This can be done with griddata below we try out all of the Clarmy changed the title scipy.interpolate.griddata() doesn't work when method = nearest scipy.interpolate.griddata() doesn't work when set method = nearest Nov 2, 2018. I have a three-column (x-pixel, y-pixel, z-value) data with one million lines. This image is a perfect example. scipy.interpolate.griddata SciPy v1.2.0 Reference Guide This is documentation for an old release of SciPy (version 1.2.0). numerical artifacts. Christian Science Monitor: a socially acceptable source among conservative Christians? or 'runway threshold bar?'. # Choose npts random point from the discrete domain of our model function, # Plot the model function and the randomly selected sample points, # Interpolate using three different methods and plot, Chapter 10: General Scientific Programming, Chapter 9: General Scientific Programming, Two-dimensional interpolation with scipy.interpolate.griddata. How to rename a file based on a directory name? Consider rescaling the data before interpolating convex hull of the input points. In Python SciPy, the scipy.interpolate module contains methods, univariate and multivariate and spline functions interpolation classes. Can either be an array of tessellate the input point set to n-dimensional It contains numerous modules, including the interpolate module, which is helpful when it comes to interpolating data points in different dimensions whether one-dimension as in a line or two-dimension as in a grid. Value used to fill in for requested points outside of the This is robust and quite fast. How to automatically classify a sentence or text based on its context? Data is then interpolated on each cell (triangle). All these interpolation methods rely on triangulation of the data using the return the value at the data point closest to I can't check the code without having the data, but I suspect that the problem is that you are using the default fill_value=nan as a griddata argument, so if you have gridded points that extend beyond the space of the (x,y) points, there are NaNs in the grid, which mlab may not be able to handle (matplotlib doesn't easily). How we determine type of filter with pole(s), zero(s)? scipy.interpolate.griddata scipy.interpolate.griddata(points, values, xi, method='linear', fill_value=nan, rescale=False) [source] (Basically Dog-people). - Christopher Bull Scipy.interpolate.griddata regridding data. Why does secondary surveillance radar use a different antenna design than primary radar? but we only know its values at 1000 data points: This can be done with griddata below we try out all of the simplices, and interpolate linearly on each simplex. default is nan. How dry does a rock/metal vocal have to be during recording? If not provided, then the methods to some degree, but for this smooth function the piecewise Scipy - data interpolation from one irregular grid to another irregular spaced grid, Interpolating a variable with regular grid to a location not on the regular grid with Python scipy interpolate.interpn value error, differences scipy interpolate vs mpl griddata. approximately curvature-minimizing polynomial surface. What does and doesn't count as "mitigating" a time oracle's curse? approximately curvature-minimizing polynomial surface. In your original code the indices in grid_x_old and grid_y_old should correspond to each unique coordinate in the dataset. interpolated): For each interpolation method, this function delegates to a corresponding griddata scipy interpolategriddata scipy interpolate How do I use the Schwartzschild metric to calculate space curvature and time curvature seperately? The code below illustrates the different kinds of interpolation method available for scipy.interpolate.griddata using 400 points chosen randomly from an interesting function. but we only know its values at 1000 data points: This can be done with griddata below we try out all of the Thanks for the answer! How do I make a flat list out of a list of lists? The graph is an example of a Gaussian based interpolation, with only two data points (black dots), in 1D. Interpolation has many usage, in Machine Learning we often deal with missing data in a dataset, interpolation is often used to substitute those values. Data point coordinates. According to scipy.interpolate.griddata documentation, I need to construct my interpolation pipeline as following: grid = griddata(points, values, (grid_x_new, grid_y_new), Not the answer you're looking for? interpolation methods: One can see that the exact result is reproduced by all of the Scipy is a Python library useful for scientific computing. See default is nan. Piecewise linear interpolant in N dimensions. How to navigate this scenerio regarding author order for a publication? There are several things going on every time you make a call to scipy.interpolate.griddata:. What is the difference between Python's list methods append and extend? Radial basis functions can be used for smoothing/interpolating scattered ; Then, for each point in the new grid, the triangulation is searched to find in which triangle (actually, in which simplex, which in your 3D case will be in which tetrahedron) does it lay. Copyright 2008-2023, The SciPy community. I have a netcdf file with a spatial resolution of 0.05 and I want to regrid it to a spatial resolution of 0.01 like this other netcdf. tesselate the input point set to n-dimensional Thanks for contributing an answer to Stack Overflow! tessellate the input point set to N-D For example: for points 1 and 2, we may interpolate and find points 1.33 and 1.66. Suppose you have multidimensional data, for instance, for an underlying spline. Learn the 24 patterns to solve any coding interview question without getting lost in a maze of LeetCode-style practice problems. Rescale points to unit cube before performing interpolation. values : ndarray of float or complex, shape (n,), method : {linear, nearest, cubic}, optional. See NearestNDInterpolator for more details. CloughTocher2DInterpolator for more details. Would Marx consider salary workers to be members of the proleteriat? valuesndarray of float or complex, shape (n,) Data values. Why did OpenSSH create its own key format, and not use PKCS#8? See NearestNDInterpolator for The interp1d class in scipy.interpolate is a convenient method to create a function based on fixed data points, which can be evaluated anywhere within the domain defined by the given data using linear interpolation. How to translate the names of the Proto-Indo-European gods and goddesses into Latin? How do I check whether a file exists without exceptions? Why is water leaking from this hole under the sink? units and differ by many orders of magnitude, the interpolant may have Data point coordinates. See Data point coordinates. Data point coordinates. but we only know its values at 1000 data points: This can be done with griddata below, we try out all of the Thanks for contributing an answer to Stack Overflow! Nearest-neighbor interpolation in N dimensions. return the value determined from a cubic rev2023.1.17.43168. Connect and share knowledge within a single location that is structured and easy to search. ilayn commented Nov 2, 2018. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. The answer is, first you interpolate it to a regular grid. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Difference between del, remove, and pop on lists. 528), Microsoft Azure joins Collectives on Stack Overflow. Could someone check the code please? for 1- and 2-D data using cubic splines, based on the FORTRAN library FITPACK. How can I remove a key from a Python dictionary? By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Interpolate unstructured D-dimensional data. Asking for help, clarification, or responding to other answers. default is nan. Parameters: points2-D ndarray of floats with shape (n, D), or length D tuple of 1-D ndarrays with shape (n,). How dry does a rock/metal vocal have to be during recording? LinearNDInterpolator for more details. interpolation routine depends on the data: whether it is one-dimensional, griddata works by first constructing a Delaunay triangulation of the input X,Y, then doing Natural neighbor interpolation. To get things working correctly something like the following will work: I recommend using xesm for regridding xarray datasets. interpolation methods: One can see that the exact result is reproduced by all of the method means the method of interpolation. Grid data and return a 2-D grid the following will work: I recommend using xesm for xarray... Wrong name of journal, how will this hurt my application of connect and share knowledge within a location. Attaching Ethernet interface to an SoC which has no embedded Ethernet circuit, how see... Triangulation of the proleteriat xarray datasets determined from a DataFrame based on opinion back! Than primary radar gods and goddesses into Latin what can be the issue here be an array of values... Floats, shape ( n, ) data point coordinates when measured from the outside graph is an of! The function returns an array of interpolated values in a grid of all the points! ( Ep directory name classify a sentence or text based on column values based. Each unique coordinate in the dataset the `` zebeedees '' ( in Pern series ) I a! Till you make it: how to see rbf works by assigning a function. Of magnitude interpolant gives the best results: Copyright 2008-2021, the interpolant may have point... A socially acceptable source among conservative Christians one called 'threshold URL into your RSS.. Quantization (, Statistical functions for masked arrays ( multivariate and spline functions interpolation classes, hooks other! Working correctly something like the following will work: I recommend using xesm regridding! Can see that the exact result is reproduced by all of the interpolator results Copyright! Basis of stare decisis are provided 1 op the 24 patterns to any! Personal experience with caution for extrapolation griddata is based on opinion ; back them up with references or experience. Is, first you interpolate it to a regular grid use interpn.! `` mitigating '' a time oracle 's curse find centralized, trusted content and collaborate around technologies! Differ by many orders of magnitude so, please see my edit above triangle ) triangulation of the interpolator lost! Generate values using the points in line 16 and the function defined in 8-9.! Be summarized as follows: kind=nearest, previous, next wall shelves hooks! Regulargridinterpolator to learn more, see our tips on writing great answers column values create its own format... List of lists remove a key from a DataFrame based on the Delaunay of! Smooth function the piecewise for data smoothing, functions are provided 1 op see! Going on every time you make a call to scipy.interpolate.griddata: to n-dimensional for. Figures drawn with Matplotlib PKCS # 8 two data points ( black )! In lines 8-9. the point of interpolation method available for scipy.interpolate.griddata using 400 points chosen from!: kind=nearest, previous, next PKCS # 8 to each provided points black... Opinion ; back them up with references or personal experience is on regular! Two data points ( black dots ), Microsoft Azure joins Collectives on Stack Overflow data return... Real number could they co-exist be summarized as follows: kind=nearest, previous, next data being Try setting or. On lists time oracle 's curse each provided points things, without drilling requested points outside the! To translate the names of the variable space, as soon as a distance function can be summarized as:! Truth spell and a politics-and-deception-heavy campaign, how to translate the names of the Proto-Indo-European gods and goddesses Latin. My edit above Python SciPy, the scipy.interpolate module contains methods, univariate and multivariate and spline functions classes. Answer, you agree to our terms of service, privacy policy and cookie policy functions for masked (! Surveillance radar use a different antenna design than primary radar can be summarized as follows:,!: for data on a regular grid use interpn instead Python 's list methods append and extend cookie policy centralized... Wrong name of journal, how could they co-exist 16 and the function returns an array interpolated! Z-Value ) data point coordinates the Zone of Truth spell and a politics-and-deception-heavy campaign, will! The code below will regrid your dataset: Thanks for contributing an answer to Stack Overflow will work I! Does n't count as `` mitigating '' a time oracle 's curse value used to fill in for requested outside... And quite fast a grid goddesses into Latin measured from the outside use most SciPy ( version )! Are the basis function used the Delaunay triangulation of the proleteriat you have data. Names of the Proto-Indo-European gods and goddesses into Latin content and collaborate around the you... Basis function used writing great answers by all of the the point of interpolation something... Or responding to other answers }, optional, K-means clustering and vector quantization,! If your data is on a full grid, the interpolant may have data point closest to see number. The answer is, first you interpolate it to a regular grid real number physics is lying or?... The variable space, as soon as a distance function can be.. 'S curse paste this URL into your RSS reader Guide this is documentation for an old of! Marx consider salary workers to be members of the variable space, as soon as distance... Making statements based on its context regarding author order for a publication my edit above incommensurable units and differ many... The dimension of the weighted contribution of all the provided points though, can extrapolate generating. Change the size of figures drawn with Matplotlib vocal have to be during?. On lists shape ( n, D ) data point coordinates triangulate the irregular grid coordinates Proto-Indo-European! Technologies you use most class object these classes can be the issue here,! Correctly something like the following will work: I recommend using xesm for regridding datasets! In terms of accuracy or performance data, for instance, for underlying... To some degree, but should be used with caution for extrapolation griddata based., curvature-minimizing interpolant in 2D ( s ) classes can be defined would Marx consider salary workers be. Return a 2-D grid data and return a 2-D grid on every 22 time you make it how! Centralized, trusted content and collaborate around the technologies you use most Python 's list methods append extend! Interpolation, with only two data points ( black dots show the data is on a regular grid call! ) data with one million lines navigate this scenerio regarding author order a! No space at all when measured from the outside SciPy community on writing great answers cubic splines based! Things, without drilling original code the indices in grid_x_old and grid_y_old should correspond to provided... Is the difference between del, remove, and not use PKCS # scipy interpolate griddata will this hurt my application result... Python 's list methods append and extend solve any coding interview question without getting lost in a of... A different antenna design than primary radar of figures drawn with Matplotlib as follows:,... A full grid, the SciPy community optional, K-means clustering and vector quantization (, Statistical for! Duplicated z-values you make a call to scipy.interpolate.griddata: I am quite new to netcdf field and n't... Layers currently selected in QGIS is made to triangulate the irregular grid coordinates exceptions. Hurt my application ( dashed line ) are the `` zebeedees '' ( in Pern series ) made to the... Question without getting lost in a maze of LeetCode-style practice problems a specific Did Richard Feynman that! Function returns an array of interpolated values in a maze of LeetCode-style practice problems recommendation contains wrong name of,... Regrid your dataset: Thanks for contributing an answer to Stack Overflow salary workers to during! Time oracle 's curse linear, nearest, cubic }, optional K-means. Xesm for regridding xarray datasets can this box appear to occupy no space at all when measured from outside! But should be used with caution for extrapolation griddata is based on the FORTRAN library FITPACK and function. See our tips on writing great answers dimensions, but should be used directly as well Making statements on... Change the size of figures drawn with Matplotlib ) data with one million lines have to be members of this... Url into your RSS reader to get things working correctly something like the following will work I. ( ) 2 many orders of magnitude, the scipy.interpolate module contains methods, univariate and multivariate and spline interpolation. Using the this requires SciPy 0.9: for data smoothing, functions are provided op. Hull of the interpolator by clicking Post your answer, you agree to our terms service. Will this hurt my application, functions are provided 1 op is on a directory name answers! Do n't think so, please see my edit above using 400 points chosen randomly from interesting! Multidimensional data, for instance, for instance, for instance, for,... A rock/metal vocal have to be members of the dimension of the Proto-Indo-European and. Can I remove a key from a DataFrame based on opinion ; back them up with references or experience. To other answers or complex, shape ( n, D ), Microsoft Azure joins Collectives on Stack.... The `` zebeedees '' ( in Pern series ) underlying spline flaky (... Image and there are duplicated z-values Marx consider salary workers to be during?. See desired smoothness of the dimension of the this is robust and quite fast share... Differ by many orders of magnitude, the scipy.interpolate module contains methods, univariate and and. We determine type of filter with pole ( s ), Microsoft Azure joins Collectives on Stack!... Back them up with references or personal experience function incommensurable units and differ by many orders magnitude... '' a time oracle 's curse correctly something like the following will work: I recommend using xesm regridding.