To plot aggregated by date pandas dataframe, we can take the following steps −
Steps
Set the figure size and adjust the padding between and around the subplots.
Create a data frame, df, of two-dimensional, size-mutable, potentially heterogeneous tabular data.
Get the values of aggregated by date pandas dataframe.
Plot the df (Step 3) with kind="bar".
To display the figure, use show() method.
Example
import numpy as np import pandas as pd from matplotlib import pyplot as plt, dates # Set the figure size plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True # Create a dataframe df = pd.DataFrame(dict(data=list(pd.date_range("2021-01-01", periods=10)), value=np.linspace(1, 10, 10))) df = df.groupby('data').agg(['sum']).reset_index() # Plot the dataframe df.plot(x='data', y='value', kind="bar") # Display the plot plt.show()
Output
It will produce the following ouput −