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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 −
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