I'm very new with these libraries and i'm having troubles while plotting this:
import pandas as pd import seaborn as sns import matplotlib.pyplot as plt import numpy as np import random df5 = pd.read_csv('../../../../datos/tiempos-exacto-variando-n-m0.csv', sep=', ', engine='python') print(df5) df5['n'] = df5['n'].apply(lambda x: x**2) sns.jointplot(df5['n'], df5['tiempoTotal'], kind="reg") sns.plt.show()
And i'm getting this output:
n m tiempoTotal 0 1 0 2274 1 2 0 3370 2 3 0 5709 3 4 0 8959 4 5 0 13354 5 6 0 18503 6 7 0 26329 7 8 0 33859 8 9 0 41110 9 10 0 52710 10 11 0 64364 11 12 0 74142 12 13 0 81072 13 14 0 69332 14 15 0 71027 15 16 0 89721 16 17 0 85459 17 18 0 95217 18 19 0 119210 19 20 0 136888 20 21 0 131903 21 22 0 138395 22 23 0 151222 23 24 0 163542 24 25 0 177236 25 26 0 192475 26 27 0 240162 27 28 0 260701 28 29 0 235752 29 30 0 250835 .. ... .. ... 580 581 0 88306854 581 582 0 89276420 582 583 0 87457875 583 584 0 90807004 584 585 0 87790003 585 586 0 89821530 586 587 0 89486585 587 588 0 88496901 588 589 0 89090661 589 590 0 89110803 590 591 0 90397942 591 592 0 94029839 592 593 0 92749859 593 594 0 105991135 594 595 0 95383921 595 596 0 105155207 596 597 0 114193414 597 598 0 98108892 598 599 0 97888966 599 600 0 103802453 600 601 0 97249346 601 602 0 101917488 602 603 0 104943847 603 604 0 98966140 604 605 0 97924262 605 606 0 97379587 606 607 0 97518808 607 608 0 99839892 608 609 0 100046492 609 610 0 103857464 [610 rows x 3 columns] --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-21-63146953b89d> in <module>() 9 df5['n'] = df5['n'].apply(lambda x: x**2) 10 sns.jointplot(df5['n'], df5['tiempoTotal'], kind="reg") ---> 11 sns.plt.show() AttributeError: 'module' object has no attribute 'plt'
I'm running this in my Jupyter Notebook
with Python 2.7.12
. Any ideas?
%matplotlib inline sets the backend of matplotlib to the 'inline' backend: With this backend, the output of plotting commands is displayed inline within frontends like the Jupyter notebook, directly below the code cell that produced it. The resulting plots will then also be stored in the notebook document.
MatPlotLib with Python PyLab is a procedural interface to the Matplotlib object-oriented plotting library. Matplotlib is the whole package; matplotlib. pyplot is a module in Matplotlib; and PyLab is a module that gets installed alongside Matplotlib. PyLab is a convenience module that bulk imports matplotlib.
sns.plt.show()
works fine for me using seaborn 0.7.1. Could be that this is different in other versions. However, if you anyways import matplotlib.pyplot as plt
you may as well simply use plt.show()
, as sns.plt.show()
is only working because pyplot
is available inside the seaborn namespace.
Well, I ran into this issue as well with Seaborn 0.8.1. Turns out being able to call sns.plt.show()
is bad practice and the fact that it worked was a bug which the developer fixed. Unfortunately, there are many tutorials out there that still advise one to use sns.plt.show()
. This is how I solved it:
import matplotlib.pyplot as plt
sns.set()
- important, because otherwise you won't get the Seaborn palettes.sns.plt
with plt
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