Log scale seaborn

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

x = 10 ** np.arange(1, 10)
y = x * 2
data = pd.DataFrame(data={'x': x, 'y': y})

f, ax = plt.subplots(figsize=(7, 7))
ax.set(xscale="log", yscale="log")
sns.regplot("x", "y", data, ax=ax, scatter_kws={"s": 100})

Source: stackoverflow.com

Similar codes

0 vote185 views1 answer
Python ascii art
Python
-3 votes241 views1 answer
ValueError: With n_samples=0, test_size=0.2 and train_size=None, the resulting train set will be empty. Adjust any of the aforementioned parameters.
Python
1 vote204 views2 answers
ImportError: No module named easydict
Python
0 vote191 views1 answer
How to increment date by one in python
Python
0 vote197 views1 answer
Create a DataFrame containing elements in a range
Python
0 vote207 views1 answer
Numpy array majority and how many
Python
-1 vote184 views1 answer
Python plt show legend
Python
3 votes181 views1 answer
How to stop python for certain time in python
Python
1 vote189 views1 answer
How to display address in python
Python
0 vote187 views1 answer
Index of a string index dataframe
Python