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https://github.com/sbrl/research-rainfallradar
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plot_multi: actually fix the plots
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commit
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1 changed files with 17 additions and 9 deletions
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@ -4,6 +4,7 @@ import sys
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import os
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import re
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import seaborn as sns
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import matplotlib
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import matplotlib.pyplot as plt
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import pandas as pd
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@ -19,11 +20,11 @@ def do_regex(source, regex):
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def plot_metric(ax, train_list, val_list, metric_name, model_names, dir_output):
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i = 0
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for train in train_list:
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ax.plot(train, label=model_names[i])
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ax.plot(train, label=model_names[i], linewidth=1)
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i += 1
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i = 0
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for val in val_list:
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ax.plot(val, label=f"val_{model_names[i]}")
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ax.plot(val, label=f"val_{model_names[i]}", linewidth=1)
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i += 1
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ax.set_title(metric_name)
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@ -40,8 +41,8 @@ def make_dfs(filepaths_input):
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def plot_metrics(filepaths_input, model_names, dirpath_output, resolution=1):
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dfs = [ pd.read_csv(filepath_input, sep="\t") for filepath_input in filepaths_input ]
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fig = plt.figure(figsize=(10*resolution, 13*resolution))
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matplotlib.rcParams.update({'font.size': 15*resolution})
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fig = plt.figure(figsize=(10*resolution, 14*resolution))
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for i, colname in enumerate(filter(lambda colname: colname != "epoch" and not colname.startswith("val_"), dfs[0].columns.values.tolist())):
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train = [ df[colname] for df in dfs ]
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val = [ df[f"val_{colname}"] for df in dfs ]
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@ -53,16 +54,23 @@ def plot_metrics(filepaths_input, model_names, dirpath_output, resolution=1):
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plot_metric(ax, train, val, metric_name=colname_display, model_names=model_names, dir_output=dirpath_output)
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# fig.tight_layout()
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# Ref https://stackoverflow.com/a/57484812/1460422
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# lines_labels = [ ax.get_legend_handles_labels() for ax in fig.axes ]
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lines_labels = [ fig.axes[0].get_legend_handles_labels() ]
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lines, labels = [sum(lol, []) for lol in zip(*lines_labels) ]
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fig.legend(lines, labels, loc='upper center', ncol=4)
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legend = fig.legend(lines, labels, loc='outside upper center', ncol=3)
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# Ref https://stackoverflow.com/a/48296983/1460422
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# change the line width for the legend
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for line in legend.get_lines():
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line.set_linewidth(4.0*resolution)
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fig.tight_layout()
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plt.subplots_adjust(top=0.85)
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target=os.path.join(dirpath_output, f"metrics.png")
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plt.savefig(target)
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plt.savefig(target, bbox_inches='tight')
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sys.stderr.write(">>> Saved to ")
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sys.stdout.write(target)
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