I'm using timeseries-generator from GitHub to get synthetic line graphs.
That works good.
But now I want to save the plots into a file as sepparate png-images.
This is my code so far:
i=range(0,4) #first number inclusive, second exclusive
for element in i:
outpath = "PATH"
c=random.random()
o=random.random()
s=random.random()
lt = LinearTrend(coef=c, offset=o, col_name="plot no. {0}".format(element))
g = Generator(factors={lt}, features=None, date_range=pd.date_range(start="01-01-2020", end="12-31-2020"))
wn = WhiteNoise(stdev_factor=s)
g.update_factor(wn)
g.generate()
g.plot()
g.savefig(path.join(outpath,"graph_{0}.png".format(element)))
The last line get me following error:
AttributeError: 'Generator' object has no attribute 'savefig'
The type of object g
is:
print(type(g))
<class 'timeseries_generator.generator.Generator'>
I tried following suggestion from an other post: Save image from generator object:
with open("output_file.png", "wb") as fp:
for chunk in thumb_local:
fp.write(chunk)
But that doesn't work for me. Maybe I'm using it wrong, with:
with open("graph_{0}.png".format(element), "wb") as fp:
fp.write(g)
I get following error:
TypeError: a bytes-like object is required, not 'Generator'
Is there a way to change the generator object into something else to save the images or is there a way to save the generator objects as png? Or can I use the suggestion above, but do it wrong?
Thank you for your help in advance!
g.plot()
simply calls the plot()
method of the underlying Pandas dataframe. You should get the dataframe and export it on your own:
fig = g.ts.plot(kind='line', figsize=(20, 16)).get_figure()
fig.savefig(path.join(outpath,"graph_{0}.png".format(element)))