Plot Dataset to Display Downtrend using Python Pandas

Downward pattern displayed by Time Series Analysis is what we call Downtrend. Let’s say the following is our dataset i.e. SalesRecords2.csv

At first, import the required libraries −

import pandas as pd
import matplotlib.pyplot as plt

Load data from a CSV file into a Pandas DataFrame −

dataFrame = pd.read_csv("C:\Users\amit_\Desktop\SalesRecords2.csv")

Casting column to datetime object −

dataFrame['Sold_On'] = pd.to_datetime(dataFrame['Sold_On'])

Create the plot for downtrend −

dataFrame.plot()

Example

Following is the code −

import pandas as pd
import matplotlib.pyplot as plt

# Load data from a CSV file into a Pandas DataFrame
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\SalesRecords2.csv")
print("Reading the CSV file...\n", dataFrame)

# casting column to datetime object
dataFrame['Sold_On'] = pd.to_datetime(dataFrame['Sold_On'])

dataFrame = dataFrame.set_index('Sold_On')

# Creating the plot
dataFrame.plot()
plt.show()

Output

This will produce the following output −