I'm plotting a Seaborn heatmap
and I want to center the y-axis
tick labels, but can't find a way to do this. 'va'
text property doesn't seem to be available on yticks()
.
Considering the following image
I'd like to align the days of the week to the center of the row of squares
Code to generate this graph:
import pandas as pd
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
#Generate dummy data
startDate = '2017-11-25'
dateList = pd.date_range(startDate, periods=365).tolist()
df = pd.DataFrame({'Date': dateList,
'Distance': np.random.normal(loc=15, scale=15, size=(365,))
})
#set week and day
df['Week'] = [x.isocalendar()[1] for x in df['Date']]
df['Day'] = [x.isocalendar()[2] for x in df['Date']]
#create dataset for heatmap
#group by axis to plot
df = df.groupby(['Week','Day']).sum().reset_index()
#restructure for heatmap
data = df.pivot("Day","Week","Distance")
#configure the heatmap plot
sns.set()
fig, ax = plt.subplots(figsize=(15,6))
ax=sns.heatmap(data,xticklabels=1,ax = ax, robust=True, square=True,cmap='RdBu_r',cbar_kws={"shrink":.3, "label": "Distance (KM)"})
ax.set_title('Running distance', fontsize=16, fontdict={})
#configure the x and y ticks
plt.xticks(fontsize="9")
plt.yticks(np.arange(7),('Mon','Tue','Wed','Thu','Fri','Sat','Sun'), rotation=0, fontsize="10", va="center")
#set labelsize of the colorbar
cbar = ax.collections[0].colorbar
cbar.ax.tick_params(labelsize=10)
plt.show()
To decrease the density of x-ticks in Seaborn, we can use set_visible=False for odd positions.
Adding +0.5
to np.arange(7)
in the plt.yticks()
worked for me
plt.yticks(np.arange(7)+0.5,('Mon','Tue','Wed','Thu','Fri','Sat','Sun'),
rotation=0, fontsize="10", va="center")
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