Plot Time as Index Value in Pandas DataFrame using Matplotlib

To plot a time as an index value in a Pandas dataframe in matplotlib, we can take the following steps

Steps

  • Set the figure size and adjust the padding between and around the subplots.

  • Create a Pandas dataframe with two columns, time and speed.

  • Set the DataFrame index using existing columns.

  • To display the figure, use Show() method.

Example

Open Compiler
from matplotlib import pyplot as plt
import pandas as pd
import numpy as np

# Set the figure size
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True

# Pandas dataframe
df = pd.DataFrame(dict(time=list(pd.date_range("2021-01-01 12:00:00", periods=10)), speed=np.linspace(1, 10, 10)))

# Set the dataframe index
df.set_index('time').plot()

# Display the plot
plt.show()

Output

It will produce the following output −

Updated on: 2021-10-19T08:28:32+05:30

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