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How to handle times with a time zone in Matplotlib?
To handle times with a time zone in Matplotlib, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create a dataframe, i.e., two-dimensional, size-mutable, potentially heterogeneous tabular data.
- To handle times with a time zone, use pytz library that brings the Olson tz database into Python. This library allows accurate and cross-platform timezone calculations.
- Plot the dataframe using plot() method.
- To display the figure, use show() method.
Example
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import pytz
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
df = pd.DataFrame(
dict(y=np.random.normal(size=5)),
index=pd.date_range(
start='2018-03-11 01:30',
freq='15min',
periods=5,
tz=pytz.timezone('US/Eastern')))
df.plot()
plt.show()Output
Updated on: 17-Jun-2021
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