Plot the dataset to display Uptrend – Python Pandas

Upward pattern displayed by Time Series Analysis is what we call Uptrend. Let’s say the following is our dataset i.e. SalesRecords.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\SalesRecords.csv")

Casting column to datetime object −

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

Create the plot for uptrend −

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\SalesRecords.csv")
print("Reading the CSV file...\n", dataFrame)

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

dataFrame = dataFrame.set_index('Date_of_Purchase')

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

Output

Following is the output −