#!/usr/bin/python3
																																					import matplotlib
																																					matplotlib																													import matplotlib.pyplot as plt
																																					import numpy as np
																																					import pandas as pd

																																					def plot_csv(
																																				file_path,
																																			line_columns,
																																		grid_columns=None,
																																	line_colors=None, # ex. ['red','blue']
																																line_styles=None, # ex. ['-','--']
																															grid_on=True,
																														x_label=None,
																													y_label=None,
																												xticks_rotation=0,
																											title="CSV data plot"
																										):
																									df=pd.read_csv(file_path)
																								fig,ax=plt.subplots(figsize=(10,6))
																							for i,col in enumerate(line_columns):
																					color=line_colors[i] if line_colors else None
																			linestyle=line_styles[i] if line_styles else '-'
																	ax.plot(df['Time'], df[col], label=col, color=color,linestyle=linestyle)
																if x_label:
														ax.set_xlabel(x_label)
													if y_label:
											ax.set_ylabel(y_label)
										ax.set_title(title)
									ax.legend()
								plt.tight_layout()
							plt.savefig('output.png',dpi=300,transparent=True)
							import argparse
							def main():
							#plot_csv(file_path="data.csv", line_columns=["Temperature", "Humidity", "Wetness"], grid_columns="Time", line_colors=["red","blue","orange"], line_styles=["-","--","--"], grid_on=True, x_label="Time (s)", y_label="Values", xticks_rotation=45, title= "Enviromental Data")
							parser=argparse.ArgumentParser(description="Ploter auto")
							parser.add_argument("--file", type=str,required=True, help="data filename")
							parser.add_argument("--lines", nargs="+", required=True, help="columns sep by space")
							args=parser.parse_args()
							plot_csv(file_path=args.file, line_columns=args.lines)

							if __name__=="__main__":
							main()