Moving X-Axis to the Top of a Plot in Matplotlib

Moving x-axis to the top of a plot in matplotlib

Use

ax.xaxis.tick_top()

to place the tick marks at the top of the image. The command

ax.set_xlabel('X LABEL')    
ax.xaxis.set_label_position('top') 

affects the label, not the tick marks.

import matplotlib.pyplot as plt
import numpy as np
column_labels = list('ABCD')
row_labels = list('WXYZ')
data = np.random.rand(4, 4)
fig, ax = plt.subplots()
heatmap = ax.pcolor(data, cmap=plt.cm.Blues)

# put the major ticks at the middle of each cell
ax.set_xticks(np.arange(data.shape[1]) + 0.5, minor=False)
ax.set_yticks(np.arange(data.shape[0]) + 0.5, minor=False)

# want a more natural, table-like display
ax.invert_yaxis()
ax.xaxis.tick_top()

ax.set_xticklabels(column_labels, minor=False)
ax.set_yticklabels(row_labels, minor=False)
plt.show()

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How can I move the Xlabel to the top

The properties you're looking for are ax.xaxis.set_ticks_position('top') and ax.xaxis.set_label_position('top'). For example :

f, ax = plt.subplots(figsize=(6, 4))
sns.heatmap(np.random.randint(0, 3, size=(2, 2)), annot=True, fmt="d")
ax.set_title('Random Forest Tree \nAccuracy:{format}\n', y=1.08)
ax.set_ylabel('True label')
ax.set_xlabel('Predicted label')

ax.xaxis.set_ticks_position('top')
ax.xaxis.set_label_position('top')

Hope this helps

Seaborn - Move x axis to top

import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt

# initialise dataframe 
data = {'Surface':[0, -50, -100, -250, -600], 'Left':[0, 0, 0, 10, 50], 'Front':[0, 0, 5, 15, 90]} 

# Creates pandas DataFrame. 
df = pd.DataFrame(data)

#Plotting
g = sns.PairGrid(df, y_vars=["Surface"], x_vars=["Left", "Front"], height=4)
g.map(plt.scatter, color=".3")
g.map(sns.lineplot)

#Move X Axis to top
#g.invert_yaxis()
g.axes[0,1].xaxis.set_ticks_position("top")

g.axes[0,0].xaxis.set_ticks_position("top")

How to plot with x-axis at the top of the figure?

Use

ax.xaxis.set_ticks_position("top")

For example,

import numpy as np
import matplotlib.pyplot as plt

numdata = 100
t = np.linspace(0, 100, numdata)
y = 1/t**(1/2.0)

fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.xaxis.set_ticks_position('top')
ax.yaxis.grid(linestyle = '-', color = 'gray')
ax.invert_yaxis()
ax.plot(t, y, 'g-', linewidth = 1.5)

plt.show()

Move ticks and labels to the top of a pyplot figure

Credits to @BigBen for the sharex comment. It is indeed what's preventing tick_top to work.

To get your results, you can combine using tick_top for the two top plots and use tick_params for the bottom two:

fig, axs = plt.subplots(2, 2, sharex=False) # Do not share xaxis
for ax in axs.flatten()[0:2]:
  ax.xaxis.tick_top()
for ax in axs.flatten()[2:]:
  ax.tick_params(axis='x',which='both',labelbottom=False) 

See a live implementation here.

place top x-axis label on the inside of the graph

you can move the location of axis labels using set_label_coords.

The coords you give it are x and y, and by default the transform is the axes coordinate system: so (0,0) is (left,bottom), (0.5, 0.5) is in the middle, etc.

So, an x coord of 0.5 centres the text, and a y coord of 0.95 brings the label inside the plot, below the top axis.

Here's a quick example code to show how to do it:

import matplotlib.pyplot as plt

fig=plt.figure()
ax1=fig.add_subplot(111)
ax2=ax1.twiny()

ax1.set_xlabel('xlabel 1')
ax2.set_xlabel('xlabel 2')

ax2.xaxis.set_label_coords(0.5,0.95)

ax1.set_title('my title')

plt.show()

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