pil example holoviews video export (snippet)

Python pil example 'holoviews video export'

Modules used in program:

import imageio
import time
import os
import gzip
import io
import re
import numpy as np
import holoviews as hv
import PIL.Image

python holoviews video export

Python pil example: holoviews video export

import PIL.Image
import holoviews as hv
import numpy as np
import re
import io
import gzip
import os
import time
from holoviews.plotting.mpl import MPLRenderer
import imageio

ef make_video_from_hmap(hmap, name, fps=2):
    renderer = hv.renderer('matplotlib')
    writer = imageio.get_writer(name, fps=fps)
    size = None

    if isinstance(hmap, hv.Layout) or isinstance(hmap, hv.NdLayout):
        keys = hmap[hmap.keys()[0]].keys()
        for key in keys:
            print("writing key {}".format(key))
            dim = hmap.dimensions()[1]
            label = dim.name + ": " + dim.pprint_value(key)
            if dim.unit != None:
                label += " " + dim.unit
            item = hmap[:, key]
            item = item.relabel(label)
            hv.renderer('matplotlib').save(item, '_temp', fmt='png')
            img = PIL.Image.open("_temp.png")
            arr = np.array(img)
            if size == None:
                size = arr.shape[0:2]
            else:
                arr = resize_frame(arr, size)
            writer.append_data(arr)

    else:
        for key, item in hmap.items():
            print("writing key {}".format(key))
            label = ""
            if not isinstance(key, tuple):
                key = tuple([key])
            for value, dim in zip(key, hmap.dimensions()):
                dim_label = dim.name + ": " + dim.pprint_value(value)
                if dim.unit != None:
                    dim_label += " " + dim.unit
                if label == "":
                    label = dim_label
                else:
                    label += ", " + dim_label
            item = item.relabel(label)
            hv.renderer('matplotlib').save(item, '_temp', fmt='png')
            img = PIL.Image.open("_temp.png")
            arr = np.array(img)
            if size == None:
                size = arr.shape[0:2]
            else:
                arr = resize_frame(arr, size)
            writer.append_data(arr)
    writer.close()
    os.remove("_temp.png")

Python links

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