I'm going to turn the for statement to Cf1, Cf2, Cf3, and Cf4 below!
It's blocked from the beginning. Help me!
Cf1 = pd.read_csv("1Y.csv")
Cf1 = Cf1.dropna()
Cf1.isna().sum()
xy1 = np.array(Cf1, dtype=np.float32)
x1 = xy1[:, 0:-1]
x_data1 = normalize(x1)
y_data1 = xy1[:, [-1]]
+) The idea in my head is
for i in range(4):
Cf[i] = pd.read_csv("iY.csv")
In this way, the variable does not have i, and the file reading also works
python for
Try it as below.
for f in (pd.read_csv("{}Y.csv".format(i)) for i in range(1, 5)):
f.dropna()
...
...
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