Matplotlib bar chart: how to change names on axis x

Question

I want to create a bar chart that will contain bars for 2 columns of dataframe.

from matplotlib import pyplot as plt
import pandas as pd

s = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
p_s = [0.05, 0.15, 0.20, 0.30, 0.20, 0.10]
p_s_x = [0.06005163309361129, 0.4378503494734475,0.3489460783665687,0.1404287057633398,0.012362455732360653,0.00036077757067209113]

df_to_plot = pd.DataFrame(data={"P(S)": p_s,
                                "P(S|X)": p_s_x,
                                "S": s})

df_to_plot.plot.bar(y=['P(S)', 'P(S|X)'],
                    alpha=0.7,
                    color=['red', 'green'],
                    figsize=(8,5))

This dataframe is here.

.

And bar chart I generate by

df_to_plot.plot.bar(y=['P(S)', 'P(S|X)'],
                   alpha=0.7,
                   color=['red', 'green'],
                   figsize=(8,5));

that looks

I want to replace 0,1,..., 5 into 0.1, ..., 0.6 (it's my column S), so I set x.

df_to_plot.plot.bar(y=['P(S)', 'P(S|X)'],
                    x='S',
                    alpha=0.7,
                    color=['red', 'green'],
                    figsize=(8,5));

which result is below.

I don't have any idea how to correct it. I used to use parameters use_index, xticks but they couldn't work.

Could you look at it and advise? Thank you!

Edit Thanks to @Mr.TI made a few changes.

ax = df_to_plot.plot.bar(y=['P(S)', 'P(S|X)'],
                         alpha=0.7,
                         color=['red', 'green'],
                         figsize=(8,5));
                         ax.set_xticklabels(df_to_plot['S'])

The chart looks fine now:)

Answer 1

I am writing an answer since I cannot write a comment due to the low reputation. Given your code, it creates an expected output with matplotlib version 3.3.4. Result image

from matplotlib import pyplot as plt
import pandas as pd


if __name__ == '__main__':
    s = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
    p_s = [0.05, 0.15, 0.20, 0.30, 0.20, 0.10]
    p_s_x = [0.06005163309361129, 0.4378503494734475,0.3489460783665687,0.1404287057633398,0.012362455732360653,0.00036077757067209113]
    
    df_to_plot = pd.DataFrame(data={"P(S)": p_s,
                                    "P(S|X)": p_s_x,
                                    "S": s})
    
    df_to_plot.plot.bar(y=['P(S)', 'P(S|X)'],
                    x='S',
                    alpha=0.7,
                    color=['red', 'green'],
                    figsize=(8,5))
    plt.show()