#!/usr/bin/python3
import matplotlib
matplotlib.use('Agg') #Non interactive backend
import matplotlib.pyplot as plt
import numpy as np

def plot_csv(
    fille_path,
    line_columns,
    grid_column=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_cvs(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.index, df[col],label=col,color=color,linestyle=linestyle)

    if xlabel:
        ax.set_xlabel(x_label)
    if ylabel:
        ax.set_ylabel(y_label)
    ax.set_title(title)
    ax.legend()
    plt.tight_layout()
    plt.savefig('output.png',dpi=300,transparent=True)
def main(): 
'''
    plot_cvs(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="Environmental Data")
       '''
    import argparse
    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()