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Plot the dataset to display Horizontal Trend – Python Pandas
Horizontal trend is also called Stationery trend. Let’s say the following is our dataset i.e. SalesRecords3.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\SalesRecords3.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\SalesRecords3.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 −
Updated on: 01-Oct-2021
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