About 438,000 results
Open links in new tab
  1. matplotlib.pyplot.streamplot — Matplotlib 3.10.1 documentation

    Draw streamlines of a vector flow. Evenly spaced strictly increasing arrays to make a grid. If 2D, all rows of x must be equal and all columns of y must be equal; i.e., they must be as if generated by np.meshgrid(x_1d, y_1d). x and y -velocities. The number of rows and columns must match the length of y and x, respectively.

  2. Streamline Plots in Python

    How to make a streamline plot in Python. A streamline plot displays vector field data. New to Plotly? A Streamline plot is a representation based on a 2-D vector field interpreted as a …

  3. streamplot (X, Y, U, V) — Matplotlib 3.10.1 documentation

    Draw streamlines of a vector flow. See streamplot.

  4. Matplotlib.pyplot.streamplot() in Python - GeeksforGeeks

    Oct 21, 2021 · With the help of streamplot () function we can create and customize a plot showing field lines based on defined 2D vector field. Many attributes are available in streamplot () function for the modification of the plots. Output: Varying the color along a streamline –. ax.set_title('Varying the color along a streamline.') Output:

  5. Streamline Plots in Plotly using Python - GeeksforGeeks

    May 23, 2022 · Streamlining is the fastest technique and more efficient for getting the data. Velocity values are interpolated when determining the streamlines. Streamlines are initialized on the boundary of the x-y domain. Syntax: create_streamline (x, y, u, v, density=1, angle=0.3490658503988659, arrow_scale=0.09) Parameters:

  6. Obtaining the coordinates of streamlines in python

    Jun 25, 2017 · You can get the stream line segments by calling .get_paths() or .get_segments(). stream = ax.streamplot(...) However, those are the single segments of the lines and it is in general not clear which segment belongs to which line seen on the screen.

  7. Plotting streamlines with Matplotlib and SymPy - Tony S. Yu

    Apr 21, 2012 · First, here's a simple function that creates a grid of points, X and Y, and plots streamlines using matplotlib's brand-spanking-new streamplot function (as of this writing, you'll need a recent github version of matplotlib): which accepts a matplotlib axes and our velocity components, u u and v v.

  8. matplotlib - plotting streamlines with python - Stack Overflow

    Oct 19, 2017 · I am trying to plot streamlines and velocity potential for basic potential flows (uniform, source/sink, vortex, etc.) I am just starting out with python and so I'm a little confused. I am following this guide.. I can plot the streamlines for the flow around a cylinder using this function. r = sympy.sqrt(x**2 + y**2) theta = sympy.atan2(y, x)

  9. python - Plotting streamlines in a Matplotlib 3Dplot? - Stack Overflow

    Jan 22, 2018 · I'm trying to plot streamlines on a plane in a 3D plot using Matplotlib. For the streamlines, I'd like to use the function streamplot(), because of its simplicity. Here's a MWE that I modified from the gallery (to attempt the streamplot() call): The first and second examples work as intended, however, the third example gives me this error:

  10. Streamplot — Matplotlib 3.10.1 documentation

    A stream plot, or streamline plot, is used to display 2D vector fields. This example shows a few features of the streamplot function: Varying the color along a streamline. Varying the density of streamlines. Varying the line width along a streamline. Controlling the starting points of streamlines. Streamlines skipping masked regions and NaN values.

  11. Some results have been removed