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Plotting dates on the X-axis with Python's Matplotlib
Using Pandas, we can create a dataframe and can set the index for datetime. Using gcf().autofmt_xdate(), we will adjust the date on the X-axis.
Steps
Make the list of date_time and convert into it in date_time using pd.to_datetime().
Consider data = [1, 2, 3]
Instantiate DataFrame() object, i.e., DF.
Set the DF['value'] with data from step 2.
Set DF.index() using date_time from step 1.
Now plot the data frame i.e., plt.plot(DF).
Get the current figure and make it autofmt_xdate().
Using plt.show() method, show the figure.
Example
import pandas as pd import matplotlib.pyplot as plt date_time = ["2021-01-01", "2021-01-02", "2021-01-03"] date_time = pd.to_datetime(date_time) data = [1, 2, 3] DF = pd.DataFrame() DF['value'] = data DF = DF.set_index(date_time) plt.plot(DF) plt.gcf().autofmt_xdate() plt.show()
Output
Updated on: 28-Aug-2023
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