<p dir="auto">Greetings, yticks, yticklabels, and annotations seem to be off center on the yaxis for some reason (by default). Is this user error, and if so I am having trouble googling a solution and any help is appreciated!</p>
<p dir="auto">Version info:<br>
seaborn-0.9.0<br>
scipy-1.3.0<br>
scikit_learn-0.21.3<br>
pandas-0.25.0<br>
numpy-1.17.0<br>
matplotlib-3.1.1</p>
<p dir="auto">Code:</p>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

data = {'y_Predicted': [1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0], 'y_Actual':    [1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0]}

df = pd.DataFrame(data, columns=['y_Actual','y_Predicted'])
confusion_matrix = pd.crosstab(df['y_Actual'], df['y_Predicted'], rownames=['Actual'], colnames=['Predicted'])
fig = plt.figure(figsize=(12,8))
sns.heatmap(confusion_matrix, annot=True)
plt.show()"><pre class="notranslate"><code class="notranslate">import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

data = {'y_Predicted': [1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0], 'y_Actual':    [1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0]}

df = pd.DataFrame(data, columns=['y_Actual','y_Predicted'])
confusion_matrix = pd.crosstab(df['y_Actual'], df['y_Predicted'], rownames=['Actual'], colnames=['Predicted'])
fig = plt.figure(figsize=(12,8))
sns.heatmap(confusion_matrix, annot=True)
plt.show()
</code></pre></div>
<p dir="auto">Observed phenotype from code above:<br>
<a target="_blank" rel="noopener noreferrer nofollow" href="https://user-images.githubusercontent.com/6826472/64052349-2037ed80-cb4c-11e9-90bd-c1145f071f88.png"><img src="https://user-images.githubusercontent.com/6826472/64052349-2037ed80-cb4c-11e9-90bd-c1145f071f88.png" alt="image" style="max-width: 100%;"></a></p>
<p dir="auto">Thanks!<br>
-Sungshine</p>
<p dir="auto">Is there a way to not show outliers in boxplot in order to not to mess up a scale?<br>
If not I think It would be nice to add.<br>
I tried <code class="notranslate">fliersize=0</code> but that didn't work. (The scale was still the same).</p>