我有這個 csv 檔案和我的資料點：
index,0,1,2,3,4,5,6,7,8,9
0,0.1979067325592041,0.18397437781095505,0.17194999009370804,0.1615455374121666,0.15237035602331161,0.1441698521375656,0.13674741983413696,0.12997239083051682,0.1237289234995842,0.11788441985845566
1,0.11262453719973564,0.10770953074097633,0.10310722887516022,0.098851528018713,0.0949881486594677,0.09146557748317719,0.0882694236934185,0.08538785949349403,0.08278434351086617,0.08050092682242393
2,0.1496530845761299,0.1432030200958252,0.1372092440724373,0.13438178598880768,0.12992391735315323,0.13074920699000359,0.1275181733071804,0.1273222416639328,0.12758294492959976,0.12424736469984055
我想使用 Matplotlib 并將這三個資料行繪制為一個折線圖中的三個圖形。列名應位于 x 軸上，每個元素的值應位于 y 軸上。我已經撰寫了這個程式來為我做這件事，但它的輸出不是我想要的結果。
import matplotlib.pyplot as plt
import pandas as pd
if __name__ == "__main__":
test_losses = pd.read_csv(filepath_or_buffer="data.csv", index_col="index")
plt.plot(test_losses)
plt.title("Test Loss")
plt.ylabel("MSE Loss")
plt.xlabel("Epoche")
plt.show()
如何表達我希望在一個圖中將行作為獨立圖形，將列名作為 x 值，將資料元素作為 y 值？
uj5u.com熱心網友回復：
下面是一個示例輸出。
data = [
['index',0,1,2,3,4,5,6,7,8,9],
[0,0.1979067325592041,0.18397437781095505,0.17194999009370804,0.1615455374121666,0.15237035602331161,0.1441698521375656,0.13674741983413696,0.12997239083051682,0.1237289234995842,0.11788441985845566],
[1,0.11262453719973564,0.10770953074097633,0.10310722887516022,0.098851528018713,0.0949881486594677,0.09146557748317719,0.0882694236934185,0.08538785949349403,0.08278434351086617,0.08050092682242393],
[2,0.1496530845761299,0.1432030200958252,0.1372092440724373,0.13438178598880768,0.12992391735315323,0.13074920699000359,0.1275181733071804,0.1273222416639328,0.12758294492959976,0.12424736469984055]
]
import matplotlib.pyplot as plt
fig, axes = plt.subplots(1, 1, figsize=(6, 4))
axes.plot(data[1], marker=".", label="Graph1", color='tab:blue')
axes.plot(data[2], marker=".", label="Graph2", color='tab:red')
axes.plot(data[3], marker=".", label="Graph3", color='tab:green')
axes.legend(['Graph 1', 'Graph 2', 'Graph 3'])
# axes.set_yscale('log')
axes.set_title("Test Loss")
axes.set_xlabel("Epoch")
axes.set_ylabel("MSE Loss")
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