Python

How do I print parameters of multiple objects in table form?

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I have a list of objects and I want to print the parameters of each in a nice table. My code is here: class item(object): def __init__(self, thing, owner, color): self.thing = thing self.owner = owner self.color = color bin = [] bin.append(item('shirt', 'John', 'red')) bin.append(item('skirt', 'Jane', 'blue')) ## Need help here ## Can't figure … Read more

How to format seaborn/matplotlib axis tick labels from number to thousands or Millions? (125,436 to 125.4K)

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import matplotlib.pyplot as plt import matplotlib.ticker as ticker import seaborn as sns import pandas as pd sns.set(style="darkgrid") fig, ax = plt.subplots(figsize=(8, 5)) palette = sns.color_palette("bright", 6) g = sns.scatterplot(ax=ax, x="Area", y="Rent/Sqft", hue="Region", marker='o', data=df, s=100, palette= palette) g.legend(bbox_to_anchor=(1, 1), ncol=1) g.set(xlim = (50000,250000)) How can I can change the axis format from a number to … Read more

Save and load model optimizer state

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I have a set of fairly complicated models that I am training and I am looking for a way to save and load the model optimizer states. The “trainer models” consist of different combinations of several other “weight models”, of which some have shared weights, some have frozen weights depending on the trainer, etc. It is a bit too complicated of an example to share, but in short, I am not able to use model.save('model_file.h5') and keras.models.load_model('model_file.h5') when stopping and starting my training.