Refine X- Axis so that the distances are better recognizable

November 18, 2021

I have a problem. I have a dataframe df. I want to plot a scatterplot with the help of seaborn. But I want to change the x- axis. I would like the x-axis to be finer from 4.0 to 5.0. The distances should be smaller, e.g. 4.1, 4.2 or even finer.
How can I set so that the x-axis is displayed finer, so that I can see the values from 4.0 better?

I looked at seaborn, pylab – changing xticks from float to int , How to change the X axis range in seaborn in python?

d = {'review_scores_accuracy': [1.1, 2.0, 4.5, 5.0, 4.9, 4.8, 4.7], 
     'review_scores_rating': [1.1, 2.0, 4.6, 3.9, 4.2, 4.5, 4.2]}
df = pd.DataFrame(data=d)


fig, ax = plt.subplots(figsize=(20,10))
sns.scatterplot(data=df, x="review_scores_rating", y="review_scores_accuracy", ax = ax ) 
# ax.set_xlim(1,5)
# ax.set_xticks(1,2,3,4,4.1,4.2)
plt.show()

>Solution :

Use matplotlib.ticker, as per here

import pandas as pd
import seaborn as sns
import matplotlib.ticker as ticker

d = {'review_scores_accuracy': [1.1, 2.0, 4.5, 5.0, 4.9, 4.8, 4.7], 
 'review_scores_rating': [1.1, 2.0, 4.6, 3.9, 4.2, 4.5, 4.2]}
df = pd.DataFrame(data=d)

fig, ax = plt.subplots(figsize=(20,10))
sns.scatterplot(data=df, x="review_scores_rating",y="review_scores_accuracy", ax=ax) 
ax.xaxis.set_major_locator(ticker.MultipleLocator(0.1))
plt.show()