Reputation: 105
%matplotlib inline
corr = df.corr()
f, ax = plt.subplots(figsize=(11, 9))
ax = sns.heatmap(
corr,
vmin=-1, vmax=1, center=0,
cmap=sns.diverging_palette(20, 220, n=500),
linewidths=.50,
cbar_kws={"shrink": .7},
square=True
)
ax.set_xticklabels(
ax.get_xticklabels(),
rotation=45,
horizontalalignment='right'
);
plt.show()
This code is does not give any plot display on azure data bricks, only displays
<Figure size 1100x900 with 2 Axes>
whereas the same code worked fine and displayed a corr plot earlier, not sure whats going wrong here. I get the same output even when I try this.
mask = np.triu(np.ones_like(corr, dtype=bool))
f, ax = plt.subplots(figsize=(11, 9))
cmap = sns.diverging_palette(20, 220, as_cmap=True)
sns.heatmap(corr, mask=mask, cmap=cmap, vmax=0.3, center=0,
square=True, linewidths=.1, cbar_kws={"shrink": .7})
plt.show()
Upvotes: 6
Views: 6854
Reputation: 181
It perhaps may have to do with your Databricks runtime https://docs.databricks.com/notebooks/visualizations/matplotlib.html
For an alternative, Try display(plt.show())
if inline doesn't seem to work
Upvotes: 7
Reputation: 12788
It looks like an issue with the matplotlib modules above 3.3.0
.
To know the exact reason, I would suggest you to report here: https://github.com/matplotlib/matplotlib/issues
As per the test from our end, you will experience the following error message with the matplotlib modules above 3.3.0
.
If you have installed matplotlib modules above 3.3.0
, I would suggest you to use matplotlib modules below 3.2.2
.
Once you have installed matplotlib==3.2.2
, I'm able to successfully display the plot.
Upvotes: 8