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How to plot aggregated by date pandas dataframe?
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 −
Updated on: 02-Feb-2022
1K+ Views
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