The y-axis values are in thousands and the desired output would be to show the numbers as strings with commas indicating thousands, e.g. 3,000 instead of 3000. But when reading it in the graph for matplotlib and seaborn, they are already in integer values, i.e.
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_theme(style="darkgrid")
plt.ticklabel_format(style='plain')
xp_needed = [(41, 6000), (42, 7000), (43, 9000), (44, 11000),
(45, 13000), (46, 15500), (47, 18000), (48, 21000), (49, 25000), (50, 30000)]
df_xp = pd.DataFrame(xp_needed, columns=['x', 'y'])
ax = sns.lineplot(data=df_xp, x="x", y="y")
ax.set_xlim(40, 51)
plt.show()
[out]:
There's this solution to change the integers to strings with format, How to convert an integer to a comma separated string but I couldn't figure out how to use that format in matplotlib for the axis labels.
