回答編集履歴
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Update
test
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@@ -1,6 +1,8 @@
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```python
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import numpy as np
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from numpy.lib.recfunctions import append_fields
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import matplotlib.pyplot as plt
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@@ -22,15 +24,25 @@
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csv_files = ['a.csv', 'b.csv', 'c.csv']
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colors = ['r', 'b', 'g']
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data_set = []
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for fname in csv_files:
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for i, fname in enumerate(csv_files):
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contents = np.genfromtxt(
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n
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fname=fname, names=True, dtype=None, delimiter=',')
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contents = append_fields(
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contents, 'name', [fname.split('.')[0]]*len(contents), usemask=False)
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contents = append_fields(
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contents, 'color', [colors[i]]*len(contents), usemask=False)
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data_set.append(contents)
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@@ -38,19 +50,19 @@
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for num, name in names:
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data = np.concatenate(
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[d[d['num'] == num]
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data = np.concatenate([d[d['num'] == num] for d in data_set])
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plt.figure(figsize=(8, 8))
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for d in data:
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plt.scatter(d
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plt.scatter(d['data1'], d['data2'], c=d['color'], label=d['name'])
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plt.title(name); plt.xlabel(name); plt.ylabel(name)
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plt.xlim(0,10); plt.ylim(0,10)
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plt.grid()
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plt.grid(); plt.legend()
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plt.savefig(f'{num}_{name}.png')
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1
Update
test
CHANGED
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@@ -36,19 +36,11 @@
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# plot data
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for num, name in names:
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data = np.concatenate(
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[d[d['num'] == num][['data1', 'data2']] for d in data_set])
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for num, name in names]
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# plotting
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for num, name, data in plot_data:
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plt.figure(figsize=(8, 8))
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