MAE_ATMO/未命名1.ipynb

In [1]:

import pandas as pd

In [9]:

rst_mix = pd.read_csv('./mix_eva.csv')
rst_mix.index = [10, 20, 30, 40]

In [10]:

import matplotlib.pyplot as plt

In [36]:

colors = [(211, 65, 51), (240, 155, 39), (25, 152, 128)]
rgb_colors = [tuple(c/255 for c in color) for color in colors]

In [11]:

# 设置字体为Times new Roman
plt.rcParams['font.sans-serif'] = ['Times New Roman']

In [43]:

plt.figure(figsize=(16, 9))
rst_mix.plot.bar(color=rgb_colors, width=0.75)
plt.xlabel('Missing Rate(%)', fontsize=14)
plt.ylabel('Sample Counts', fontsize=14)
plt.xticks(rotation=-45, fontsize=14)
plt.yticks(fontsize=14)
plt.tight_layout()
plt.legend(loc='best', fontsize=16)
plt.savefig('./miss_counts.png')

<Figure size 1600x900 with 0 Axes>

In [21]:

import matplotlib as mpl

In [7]:

mpl.get_cachedir()

Out[7]:

'/root/.cache/matplotlib'

In [ ]:

In [44]:

draw_data = pd.read_csv('./data_count.csv')

In [45]:

draw_data

Out[45]:

	month	count	mean	std	min	25%	50%	75%	max
0	2022-01	31.0	0.375894	0.278728	0.024402	0.153636	0.311435	0.541388	1.000000
1	2022-02	27.0	0.223323	0.247666	0.000000	0.031531	0.110574	0.359928	0.904019
2	2022-03	31.0	0.346938	0.326758	0.000000	0.055048	0.280622	0.582225	1.000000
3	2022-04	30.0	0.241667	0.255629	0.000526	0.031316	0.118349	0.402727	0.823110
4	2022-05	31.0	0.261153	0.291343	0.000000	0.042153	0.099043	0.377679	0.899809
5	2022-06	30.0	0.307410	0.249777	0.025933	0.097787	0.216268	0.538828	0.885215
6	2022-07	31.0	0.471889	0.258072	0.004402	0.286459	0.502584	0.638947	0.914545
7	2022-08	31.0	0.411485	0.286403	0.009043	0.194211	0.354785	0.603086	0.945215
8	2022-09	30.0	0.240635	0.250689	0.000048	0.039462	0.136196	0.377416	0.910239
9	2022-10	31.0	0.334396	0.274684	0.000000	0.116818	0.291053	0.494833	0.883923
10	2022-11	29.0	0.405854	0.308861	0.016603	0.107081	0.476172	0.629474	0.941579
11	2022-12	31.0	0.223386	0.194496	0.006938	0.060502	0.182727	0.271172	0.680622

In [ ]:

fig, ax = plt.subplots(figsize=(16, 9))
# plt.plot(range(1, 13), des['mean'].values, '*-')
bp = ax.boxplot(draw_data, showmeans=True, patch_artist=False, widths=0.5, boxprops=dict(linewidth=2),
                medianprops=dict(color='red', linewidth=2),
                meanprops=dict(marker='*', markersize=8, linewidth=2),
                # whiskerprops=dict(color='black', linewidth=1.5),
                # capprops=dict(color='black', linewidth=1.5)
                )
# 创建一个仅包含标记的图例项
circle = mlines.Line2D([], [], color='green', marker='*', linestyle='None', markersize=8, label='Mean Point')
median_line = mlines.Line2D([], [], color='red', marker='', linestyle='-', linewidth=2, label='Median Line')
ax.set_xlabel('Month', fontsize=16)
ax.set_ylabel('Missing Rate', fontsize=16)
ax.set_xticklabels(months, fontsize=16)
# 获取当前的y轴标签
yticklabels = ax.get_yticklabels()

# 设置y轴标签的字体大小
for label in yticklabels:
    label.set_fontsize(16)
# 添加图例
ax.legend(handles=[median_line, circle], fontsize=16)
plt.show()