Python study
Published:
Just some adopt scripts or commands.
Outline
Pandas + matplotlib.pyplot
import pandas as pd import matplotlib.pyplot as plt path = "D:\\Downloads\\" filename = "energy.dat" separator = " " plot_target = {"data1", "data2", "data3"} df = pd.read_csv(path + filename, sep = separator, engine='python') display(df.head()) plt.figure() #for y in df.columns[1:-1]: for y in plot_target: plt.semilogy(df["time"], df[y], label=y) plt.legend() plt.grid() plt.show()