How can I position xlabel on top of the plot using something else than "tick_top" - that adds a tick to the x label, and I don't want it.
xlabel on the bottom with no tick:
code:
import numpy as np; np.random.seed(0)
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
uniform_data = np.random.rand(10, 12)
ax = sns.heatmap(uniform_data, vmin=0, vmax=1)
plt.yticks(rotation=0)
plt.show()
xlabel on top but with tick:
code:
import numpy as np; np.random.seed(0)
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
uniform_data = np.random.rand(10, 12)
ax = sns.heatmap(uniform_data, vmin=0, vmax=1)
plt.yticks(rotation=0)
ax.xaxis.tick_top() # x axis on top
ax.xaxis.set_label_position('top')
plt.show()
By using the method xticks() and yticks() you can disable the ticks and tick labels from both the x-axis and y-axis. In the above example, we use plt. xticks([]) method to invisible both the ticks and labels on the x-axis and set the ticks empty.
To fix the position of ticks, use set_xticks() function. To set string labels at x-axis tick labels, use set_xticklabels() function.
labelpad is a distance in points from the axes bounding box including ticks and tick labels.
Try this:
plt.tick_params(axis='both', which='major', labelsize=10, labelbottom = False, bottom=False, top = False, labeltop=True)
the parameter top=False means no ticks. :)
Ok finally found.
Needs a
ax.tick_params(length=0)
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