How to add some text with relative coordinate on a plot already created?-CodePudding

I have this plot : made with :

    serie_to_plot.plot(kind='barh', figsize=(8, 4), label='nombre de support avec une anomalie',xlabel='type d\'anomalie')
    right = 0.99
    top = 0.99
    plt.subplots_adjust(left=0.35, right=right, top=top, bottom=0.1)
    plt.legend()
    plt.show()

I would like to add text on a specific coordinate like this :

I tryed with :

    f = figure()
    ax = f.add_subplot(111)
    plt.text(right, top-0.2,'matplotlib',
     horizontalalignment='right',
     verticalalignment='top',
     transform = ax.transAxes)

but it goes on the plot already shown.. How can I merge it ?

Thanks !

CodePudding user response：

I suggest you first, before any plotting command, define usual fig and ax variables:

fig = plt.figure(figsize=(8, 4))
ax = fig.add_subplot()

and you use the ax object in your plot call that, I suppose, is from pandas so:

serie_to_plot.plot(kind='barh', 
                   ax=ax,
                   label='nombre de support avec une anomalie',xlabel='type d\'anomalie')

then use ax.text instead of plt.text:

ax.text(...your_arguments

CodePudding user response：

import pandas as pd

# generate some random data
df = pd.DataFrame({
    "Categories": ["A", "B", "C", "D", "E"],
    "Values": [1, 2, 3, 4, 5]
})

# capture the axis used by pandas for plotting
ax = df.plot(kind="barh", x="Categories")
right = 5
top = 2
# use that axis to add the text (or any other object)
ax.text(right, top, 'matplotlib',
     horizontalalignment='right',
     verticalalignment='top')

CodePudding user response：

If you mean to put the "matplotlib" text in the same position as the second one, then you can use the ax.transAxes transformer.

import matplotlib.pyplot as plt
import pandas as pd

X = list('ABCDE')
Y = [1,2,3,4,5]

df = pd.DataFrame({'label':X, 'value':Y})

ax = df.plot(x='label', y='value', kind='barh', figsize=(8,4), label='label')

right = 0.99
top = 0.99
plt.subplots_adjust(left=0.35, right=right, top=top, bottom=0.1)

plt.legend()

plt.text(
    right, top-0.2, 'matplotlib',
    ha='right', va='top',
    transform=ax.transAxes)     # Specify the transformer