How to Create Text Labels in Pandas Plot   

To add text label to pandas plot we can use:

• plt.text(1, 1,'my text',rotation=75)
• plt.text(x, 1, 'text', transform=trans)

Steps to add text label

• Import matplotlib library
• Create DataFrame
• Create the figure and axes object - fig, ax = plt.subplots()
• add lines
• add text

More information can be found: DataFrame.plot - secondary_y

Data

Suppose we have time series data where you would like to add lines and text to Pandas plot

Example - add text to Pandas plot

import matplotlib.transforms as transforms
import matplotlib.pyplot as plt

fig, ax = plt.subplots()

x = 3
ax.axvline(x)
plt.text(x, .5, 'text')

plt.show()

Result

Example

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

df = pd.DataFrame(index=pd.date_range("2019-07-01", "2019-07-31")) 
df["y"] = np.logspace(0, 1, num=len(df)) 

ax = df.plot(figsize=(10,5))

plt.text(0.65, 0.6,'the point', transform=ax.transAxes)

ax.axhline(6, color="red", linestyle="--")
ax.axvline("2019-07-24", color="red", linestyle="--")

Output

ValueError: Image size of 463x477 pixels is too large. It must be less than 2^16 in each direction.

To solve error: "ValueError: Image size of 467793x477 pixels is too large. It must be less than 2^16 in each direction." when you add text label to Pandas plot add: transform=ax.transAxes

So change the line

plt.text(0.65, 0.6,'the point')

to

plt.text(0.65, 0.6,'the point', transform=ax.transAxes)

Resources

• matplotlib.pyplot.text