numpy.ndarray object is not callable when trying to change x-Ticks

I am currently working on a university project where I want to plot sentiment scores over a period of time. I’ve attached a picture of said scatterplot. I now want to change the xticks, the xtick labels and the title. However, when trying to change the x-ticks to the quintils of the dates, i get the error "’numpy.ndarray’ object is not callable.

I want the xticks to reflext the min, max, 25%, 50% and 75% quntils of the dates. Since the dates are formatted as yyyymmdd, just calculating the quintils wont work but at this point I have really lost focus on how to solve the problem. Same goes for the changing of the title, though that seems more straight forward.

My code is:

import seaborn as sns

import matplotlib.pyplot as plt

import scipy.stats as stats

# Korrelation überprpfen

correlation, p_value = stats.pearsonr(df_tagesspiegel_final['Datum'], df_tagesspiegel_final['compound'])

print(correlation)

print(p_value)

# Scatterplot erstellen

sns.scatterplot(x='Datum', y = 'compound', data=df_tagesspiegel_final)

#Quintile als xticks speichern

xticks = [df_tagesspiegel_final['Datum'].min(), df_tagesspiegel_final['Datum'].quantile(0.25), df_tagesspiegel_final['Datum'].quantile(0.5), df_tagesspiegel_final['Datum'].quantile(0.75), df_tagesspiegel_final['Datum'].max()]

plt.xticks(ticks=xticks)

plt.set_title('Korrelation von Datum und compound')

plt.set_xlabel('Datum')

plt.set_ylabel('compound')

fig.show()

~~~

I tried updating matplotlib, changing plt.xticks(ticks=xticks) to plt.xticks(ticks=None). Nothing worked. I only get the error: ‘numpy.ndarray’ object is not callable.

I expect the xticks to change in any way really, though I am sure that calculating the quintils of dates is not the right way to go about it.

EDIT: I’ve found the solution for the title problem: I used .set_title instead of title.

>Solution :

Replace

plt.xticks(ticks=xticks)

plt.set_title('Korrelation von Datum und compound')

plt.set_xlabel('Datum')

plt.set_ylabel('compound')

by

plt.gca().set(xticks=xticks, xlabel='Datum', ylabel='compound', title='Korrelation von Datum und compound')