带有matplotlib的多轴xPython

为了能够绘图，字符串应转换为数字.

使用构建在matplotlib上进行绘图的Pandas(或Seborn)库，可以更轻松地绘制每个X值具有多个条形图.您的数据没有直方图数据，您似乎想要条形图.

以下是一些代码.可以进行许多定制.

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()

可能的定制包括:

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

PS:这张照片看起来像: