当我运行此代码时，我不断收到 TypeError: unhashable type: 'numpy.ndarray'。我无法查明问题。
当我执行 .head() 这就是我得到的：
|Year|Chinese|Malay|Indian|Others|
|----+-------+-----+------+------|
|2010| 96| 87.9| 92| 87.7|
|2011| 96.3| 89.3| 92.5| 91.7|
|2012| 97.1| 91| 92.5| 92.6|
|2013| 97.2| 91.7| 92.3| 93.6|
|2014| 97.5| 93.5| 93.2| 93.5|
我的代码：
df_tertiary = pd.read_csv('percentage-of-p1-cohort-that-progressed-to-post-secondary-education.csv',index_col=0);
df_tertiary_chi = df_tertiary[df_tertiary.race == 'Chinese']
df_tertiary_malay = df_tertiary[df_tertiary.race == 'Malay']
df_tertiary_indian = df_tertiary[df_tertiary.race == 'Indian']
df_tertiary_others = df_tertiary[df_tertiary.race == 'Others']
df_tertiary_total = pd.concat([df_tertiary_chi['percentage_p1_cohort_post_sec'],df_tertiary_malay['percentage_p1_cohort_post_sec'],df_tertiary_indian['percentage_p1_cohort_post_sec'],df_tertiary_others['percentage_p1_cohort_post_sec']], axis=1, sort=False)
df_tertiary_total.columns = ['Chinese','Malay','Indian','Others']
df_tertiary_total = df_tertiary_total.loc['2010':'2019']
df_tertiary_total = pd.DataFrame(df_tertiary_total)
display(df_tertiary_total.head())
plt.plot(df_tertiary_total)
plt.show()
错误：
TypeError Traceback (most recent call last)
<ipython-input-200-1000efab126d> in <module>
14 display(df_tertiary_total.head())
15
---> 16 plt.plot(df_tertiary_total)
17 plt.show()
数据样本
Chinese Malay Indian Others
year
2016 97.8 93.1 93.8 93.9