时间序列分析显示的上升模式就是我们所说的上升趋势。假设以下是我们的数据集,即SalesRecords.csv
首先,导入所需的库 -
import pandas as pd importmatplotlib.pyplotas plt
将 CSV 文件中的数据加载到 Pandas DataFrame 中 -
dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\SalesRecords.csv")
将列转换为日期时间对象 -
dataFrame['Date_of_Purchase'] = pd.to_datetime(dataFrame['Date_of_Purchase'])
创建上升趋势图 -
dataFrame.plot()
以下是代码 -
import pandas as pd importmatplotlib.pyplotas 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()输出结果
以下是输出 -