使用字符串数组绘制x轴，与原始数组中的顺序相同，而不是在matplotlib中按字母顺序对其进行排序

Either Numpy or Matplotlib is changing the order of my np.array and it's conflicting with my plot. It's causing the months to be out of order while the corresponding data to still be in the same order which is causing the plot to look weird:

Numpy或Matplotlib正在改变我的np.array的顺序,它与我的情节相冲突。这导致月份出现故障,而相应的数据仍然处于相同的顺序,导致情节看起来很奇怪:

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

f = np.array([53, 56, 63, 72, 79, 86, 89, 88, 83, 74, 65, 56])
month = np.array(["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"])
plt.plot(month, f)

plt.xlabel('Month')
plt.ylabel('Temperature')
plt.title('Average Monthly Temperature in Elizabeth City, NC')
plt.show()

This is what i get as output in JupyterNotebook: 使用字符串数组绘制x轴，与原始数组中的顺序相同，而不是在matplotlib中按字母顺序对其进行排序

这是我在JupyterNotebook中输出的内容:

2 个解决方案

#1

Since month is a string array, plt.plot() command is sorting it alphabetically. So, we have to use the xticks and then plot it like below to get the strings in the same order as it were in the original array month.

由于month是一个字符串数组,plt.plot()命令按字母顺序排序。所以,我们必须使用xticks,然后像下面一样绘制它,以获得与原始数组月份相同的顺序。

In [16]: f = np.array([53, 56, 63, 72, 79, 86, 89, 88, 83, 74, 65, 56])
    ...: month = np.array(["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"])
    ...: plt.xticks(range(len(f)), month)
    ...: plt.plot(f)

Plot:

Note: For more customized plots refer: pylab date demo

注意:有关更多自定义图表,请参阅:pylab日期演示

#2

You will need to use MonthLocator and set_major_locator as shown here: formatting timeseries x-axis in pandas/matplotlib

您将需要使用MonthLocator和set_major_locator,如下所示:在pandas / matplotlib中格式化时间序列x轴

Here is my attempt:

这是我的尝试:

import matplotlib.pyplot as plt
import numpy as np
import datetime
f = np.array([53, 56, 63, 72, 79, 86, 89, 88, 83, 74, 65, 56])

# New stuff:
from matplotlib.dates import MonthLocator, DateFormatter
dates = []
for month in range(1, 13):
    dates.append(datetime.datetime(year=2018, month=month, day=1))
plt.plot(dates, f)
ax = plt.gca()
ax.set_xlim([dates[0], dates[-1]])
ax.xaxis.set_major_locator(MonthLocator())
ax.xaxis.set_major_formatter(DateFormatter('%b'))

plt.xlabel('Month')
plt.ylabel('Temperature')
plt.title('Average Monthly Temperature in Elizabeth City, NC')
plt.show()

#1