如何将数据的所有标签添加到 matplotlib 图表的 x 轴？

Question

i would like my graph to indicate all the data of my x axis and not remove some points automatically. My graph is supposed to indicate all the years from 2011 to 2020, except it skips every second year. Please help.

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

x = [2011,2012,2013,2014,2015,2016,2017,2018,2019,2020];
y = [139.1,128.6,115.1,109.4,104.1,111.1,119.4,128.3,137.9,147];

fig, (ax2) = plt.subplots(nrows=1, ncols=1, figsize = (8,4))


ax2.scatter(x=x, y=y, marker='o', c='grey', edgecolor= 'b')
ax2.set_title('Retail sales in South-Africa in billion US$') ##$$ makes text italic
ax2.set_xlabel('$Year$')
ax2.set_ylabel('Retail sales in billion US$')
ax2.grid(which = 'major', axis= 'y', linestyle = ':')
ax2.plot(x, y, c='b', )

for x,y in zip(x,y):

    label = y

    plt.annotate(label, # this is the text
                 (x,y), # this is the point to label
                 textcoords="offset points", # how to position the text
                 xytext=(0,15), # distance from text to points (x,y)
                 ha='center')

plt.xticks()
plt.yticks()

plt.tight_layout()
plt.show()
```

Answer 1

Looks like you're onto the right thing here: Take a look at this link .

To get it to work the way you want it to, the only line of code I changed is plt.xticks() like so:

plt.xticks([2011,2012,2013,2014,2015,2016,2017,2018,2019,2020])