[FIXED] graph left and right part has been cutted

Issue

Below graph left and right has been cut, the line width almost half of other lines!

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

def get_data():
    events = {
    "01":"A",
    "02":"B",
    "03":"C",
    "04":"D",
    "05":"E",
    "06":"F",
    "07":"G",
    "08":"H",
    "09":"I",
    "10":"J",
    "11":"K",
    "12":"L",
    "13":"M",
    "14":"N",
    "15":"O",
    }
    print(events)
    df = pd.DataFrame(events.items(),columns=["name","value"])
    print(df)
    return df

def plot_timeline(df):
    lw = 5
    lc = 'black'
    levels = np.tile([-3, 3, -2, 2, -1, 1],int(np.ceil(len(df['name'])/6)))[:len(df['name'])]
    print(levels)

    fig, ax = plt.subplots(figsize=(8.8, 4), constrained_layout=True)

    ax.set_xlim(0,len(df['name'])-1)
    ax.vlines(df['name'], 0, levels,lw=lw, color="tab:red")  # The vertical stems.
    ax.plot(df['name'], np.zeros_like(df['name']), "-o",lw=lw,color="k",markersize=lw*2,markeredgewidth=lw, markerfacecolor="w")

    for d, l, r in zip(df['name'], levels, df['value']):
        ax.annotate(r, xy=(d, l),
                xytext=(-3, np.sign(l)*3), textcoords="offset points",
                horizontalalignment="left",
                verticalalignment="bottom" if l > 0 else "top")

    plt.setp(ax.get_xticklabels(), rotation=30, ha="right")

    ax.yaxis.set_visible(False)
    ax.tick_params('both', length=lw*2, width=lw, which='major')
    ax.tick_params('both', length=lw*2, width=lw, which='minor')
    ax.spines[["left", "top", "right"]].set_visible(False)
    ax.spines[["left","top",'right',"bottom"]].set_linewidth(lw)
    
    ax.set(title="title")
    ax.set(xlabel="X")
    ax.set(ylabel="Y")
    
    ax.margins(y=0.2)    
    fig.tight_layout()        
    plt.show()
    return

df = get_data()
plot_timeline(df)

Increate xlim maybe fix it but I do not want to add more extended line in xaxis.

Any other proper way to fix it?

Solution

Add clip_on=False to

    ax.vlines(df['name'], 0, levels,lw=lw, color="tab:red",clip_on=False)  # The vertical stems.
    ax.plot(df['name'], np.zeros_like(df['name']), "-o",lw=lw,color="k",
            markersize=lw*2,markeredgewidth=lw, markerfacecolor="w",clip_on=False)

Answered By - Li Yupeng