![]() Plims = plotmymap(ax) # a simple maps is created on subplotįig.subplots_adjust(top=top, bottom=bottom, left=left, right=right, hspace=0.15, wspace=0.25)Ĭbar_ax = fig.add_axes()įig. If you don’t want to use arrows probably your best choice is to use text. Plims = plt.imshow(img, extent=, alpha=0.5, cmap=cmap1, norm=norm1)Īx = fig.add_subplot(rows, columns, i, projection=projex) Annotations and arrows with annotate Annotations are similar to basic texts, but the annotate function provides further parameters to annotate specific parts of the plot with arrows. # your plot specs of each map should replace this # create figure with figsize big enough to accomodate all maps, labels, etc.įig = plt.figure(figsize=(8, 10), tight_layout=False) Also shows how to plot a colorbar to accompany the maps array. This shows how to plot an array of simple Cartopy maps in 4 rows 2 columns. ![]() I find some infromation in the internet, but it doesn't run with my code. Plotting live data with Matplotlib Using (), It is used to update a figure that has been changed. With the help of () function we can update the plot on the same figure during the loop. The following short code shows how the text box cannot be dragged in that case (unless it's located 'outside' the plot area): import matplotlib.pyplot as plt fig plt.figure () subfig fig.subfigures () ax subfig.addsubplot () bboxargs dict (boxstyle'round. Courses Practice We can use matplotlib to Plot live data with Matplotlib. Now i want to create an 2x4 Subplot array with a colorbar allocate to the complete Subplot array. However, my ax is defined on a SubFigure object rather than a Figure. Strm =plt.streamplot(lon, lat, varU, varV, linewidth=2, density=2, color=magnitude) Linestyle='-', alpha=1, linewidth=0.5, draw_labels=True) #proj = ccrs.PlateCarree(central_longitude=0)īox_proj = ccrs.PlateCarree(central_longitude=0)Īx2.set_extent(, box_proj)Īx2.add_feature(, linestyle='-', alpha=.5) The middel of the map is central_longitude ![]() #map with box size (defintion on the top)īox = sgeom.box(minx=llcrnrlon, maxx=urcrnrlon, miny=llcrnrlat, maxy=urcrnrlat) Nc_v_comp = NetCDFFile(ROOT+v_comp1+day+comp) Nc_u_comp = NetCDFFile(ROOT+u_comp1+day+comp) Nc_v_comp = NetCDFFile(ROOT+v_comp1+'0'+day+comp) Nc_u_comp = NetCDFFile(ROOT+u_comp1+'0'+day+comp) If i run the code i get a nice QUiver plot with the colorbar. So it starts with a dayloop than with a hour loop (8 timesteps). The following code show my result for one plot. You want to position text in the plot but your plot also uses string tick labels, so you cant just use annotate some-text, a, 4)) because you need actual integer x,y coordinates. I have a little problem to create a subplot loop.
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