Jupyter QtPython Errors - matplotlib

Question

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns;
tips = sns.load_dataset('tips')
tips.head()
tips['tip_pct'] = 100 * tips['tip'] / tips['total_bill']
grid = sns.FacetGrid(tips, row="sex", col="time", margin_titles=True)
grid.map(plt.hist, "tip_pct", bins=np.linspace(0, 40, 15));
When I run the above code in Spyder IDE (Anaconda Navigator's Package), I get the desired results. But when the same code is run in Jupter QtConsole (including the line: %matplotlib inline) I get the following errors:
Out:
ValueErrorTraceback (most recent call last)
<ipython-input-47-c7ea1bbe0c80> in <module>()
----> 1 grid.map(plt.hist, "tip_pct", bins=np.linspace(0, 40, 15));
/Users/waqas/anaconda/lib/python3.5/site-packages/seaborn/axisgrid.py in map(self, func, *args, **kwargs)
701
702 # Get the current axis
--> 703 ax = self.facet_axis(row_i, col_j)
704
705 # Decide what color to plot with
/Users/waqas/anaconda/lib/python3.5/site-packages/seaborn/axisgrid.py in facet_axis(self, row_i, col_j)
832
833 # Get a reference to the axes object we want, and make it active
--> 834 plt.sca(ax)
835 return ax
836
/Users/waqas/anaconda/lib/python3.5/site-packages/matplotlib/pyplot.py in sca(ax)
905 m.canvas.figure.sca(ax)
906 return
--> 907 raise ValueError("Axes instance argument was not found in a figure.")
908
909
ValueError: Axes instance argument was not found in a figure.
I don't know what's going on.

Answer 1

Somewhat related...I was getting the same error when running jupyter notebook because I was running the following lines in separate cells.
g = sns.FacetGrid(data=titanic,col='sex')
g.map(plt.hist,'age')
Once I ran them both in the same cell the image displayed properly.
Since you're using Qt console see if it helps to assign your mapping to grid.
grid = grid.map(plt.hist, "tip_pct", bins=np.linspace(0, 40, 15))
You'll see the same approach is used in the documentation for FacetGrid.