I’m sorry if this a stupid question, but I looked around at different examples and tried them before writing this.
So I have this csv file that I looks as follows
DateTime Column_2 Column_3 9/1/2019 7:07:46 AM 894 55 9/1/2019 7:17:46 AM 895 58 9/1/2019 7:27:46 AM 898 63
Now my code:
import pandas as pd from matplotlib import pyplot as plt data=pd.read_csv('data file.csv') data=data[data.Column_2 != '(null)'] data[data.Column_3 != '(null)'] data[['Column_2','Column_3']]= [['Column_2','Column_3']].apply(pd.to_numeric, errors='coerce') plt.plot(data.DataTime,data.Column_2)
In the above example, I removed some null values in columns 2 and 3, then converted them into int values (they were objects). The DataTime column is an object though, how can I graph the column against the time? Do I change the DataTime to an integer?