autocorrelation_plot and plot_acf giving different result/ Difference between autocorrelation_plot and plot_acf

Question

Please consider below code

%matplotlib inline
import pandas as pd
import numpy as np
sampleRng = pd.date_range(start='2017', periods=120, freq='MS')
sampleTs = pd.Series(np.random.randint(-10, 10, size=len(sampleRng)), sampleRng).cumsum()
sampleTs = pd.DataFrame(sampleTs,columns=['data'])
sampleTs.head()

from pandas.plotting import autocorrelation_plot
sampleTs["diff"] = sampleTs.diff() ## making data stationary

autocorrelation_plot(sampleTs["diff"])

Output is as below

Next lets use plot_acf from statsmodel

from statsmodels.graphics.tsaplots import plot_acf
import matplotlib.pyplot as plt
sampleTs["diff"].iloc[0] = 0
plot_acf(sampleTs["diff"], lags = 100)
plt.show()

output is as below

As we can notice there are clear difference between both figures. What could be the reason for this and how can we make both same.