python - 如何在Python中绘制非连续的自定义日期格式

Question

我有一列具有自定义日期格式:YYYYWeekNo 例如201801, 201802...201851, 201852

当我的数据从 201752 跳转到 201801 时，就会出现问题，这会创建将数据视为 100 尺度的连续数据的绘图，因此图表会失真

有没有办法可以用不连续的 x 标签来解析这个图？

x = []
year = 2017
for i in range(104):
    j = i+1
    if j <= 52:
        x.append(year * 100 + j)
    else:
        k = j - 52
        x.append(((year+1) * 100 ) + k)


np.random.seed(1)
values = np.random.randint(low=0, high=5000, size=104)


df = pd.DataFrame.from_dict({'year_week': x, 'values': values})
df.set_index('year_week').plot(figsize=(15, 5))

Answer 1

您可以使用matplotlib example“破坏”轴。这将是定制版本:

import matplotlib.pylab as plt
import numpy as np

x = []
year = 2017
for i in range(104):
    j = i+1
    if j <= 52:
        x.append(year * 100 + j)
    else:
        k = j - 52
        x.append(((year+1) * 100 ) + k)
np.random.seed(1)
values = np.random.randint(low=0, high=5000, size=104)

df = pd.DataFrame.from_dict({'year_week': x, 'values': values})

f,(ax,ax2) = plt.subplots(1,2,sharey=True, facecolor='w', figsize=(10,10))

# plot the same data on both axes
ax.plot(df['year_week'], df['values'])
ax2.plot(df['year_week'], df['values'])

ax.set_xlim(201700,201753)
ax2.set_xlim(201800,201853)

# hide the spines between ax and ax2
ax.spines['right'].set_visible(False)
ax2.spines['left'].set_visible(False)
ax.yaxis.tick_left()
ax.tick_params()
ax2.yaxis.tick_right()

#this gets rid of scientific notation, so it's more readable
ax.ticklabel_format(useOffset=False)
ax2.ticklabel_format(useOffset=False)
plt.show()

输出:

此外，似乎有一个专门针对此特定问题的包:

Brokenaxes