Multi-axis x using matplotlib python

import matplotlib.pyplot as plt import numpy as np X = ['Class 1','Class 2','Class 3','Class 4', 'Class 5', 'Class 6', 'Class 7'] sE = ['-9,51', '-13,5', '0,193', '9,564', '23,13', '-0,252', '-0,442'] s = ['19,605', '28,388', '1,762', '-4,264', '-24,716', '-26,956', '0,382'] eE = ['-5,364', '-7,954', '-3,756', '-0,184', '1,883', '41,876', '-0,012'] X_axis = np.arange(len(X)) # plt.bar(X_axis, sE, color='red',width = 0.25, edgecolor='black') # plt.bar(X_axis+0.25, s, color='cyan',width = 0.25, edgecolor='black') # plt.bar(X_axis+0.5, eE, color='green',width = 0.25, edgecolor='black') #plt.hist([sE, s, eE], color = ['red', 'cyan', 'green'], edgecolor = 'black', histtype = 'bar') #plt.xticks(X_axis, X) plt.xlabel("Classes") plt.title("Geographical STP A") plt.show()

import matplotlib.pyplot as plt import pandas as pd x = ['class 1', 'class 2', 'class 3', 'class 4', 'class 5', 'class 6', 'class 7'] se = ['-9,51', '-13,5', '0,193', '9,564', '23,13', '-0,252', '-0,442'] s = ['19,605', '28,388', '1,762', '-4,264', '-24,716', '-26,956', '0,382'] ee = ['-5,364', '-7,954', '-3,756', '-0,184', '1,883', '41,876', '-0,012'] # organize the data as a pandas dataframe df = pd.dataframe({'class': x, 'se': se, 's': s, 'ee': ee}) # convert strings to numeric df['se'] = df['se'].str.replace(',','.').astype(float) df['s'] = df['s'].str.replace(',','.').astype(float) df['ee'] = df['ee'].str.replace(',','.').astype(float) ax = df.set_index('class').plot(kind='bar') ax.set_title("geographical stp a") ax.tick_params(axis='x', rotation=0) plt.show()

ax = df.set_index('Class').plot(kind='bar', color=['crimson', 'limegreen', 'dodgerblue']) ax.set_title("Geographical STP A") ax.tick_params(axis='x', rotation=0, length=0) # rotate tick labels horizontally, remove tick mark ax.grid(True, axis='y') # add a grid in the y direction ax.set_xlabel('') # remove superfluous x label for dir in ['top', 'bottom', 'right']: ax.spines[dir].set_visible(False) # remove the border around the plot