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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 −
Updated on: 01-Oct-2021
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