I've been using seaborn for some data visualisation, but for some reason the axes and spacing seem a little off. This also happens when I use matplotlib and pandas for data visualisation. I will show an example to illustrate my point:
import seaborn as sns
import matplotlib.pyplot as plt
plt.style.use('ggplot')
tips = sns.load_dataset('tips') # a dataset
sns.distplot(tips['total_bill']) # 'total_bill' is a column in the dataset
As you can see, there is a start of a new grid above 0.06 on the y axis and also above 60 on the x axis.
This happens with every plot I do, whether it be a distplot, countplot, boxplot, and I'm not sure why it's happening? I've been learning this through an online course and whenever the instructor runs the code, the figures don't have this problem?