How to create a plot using instead of 8760 hours 365 days and 52 weeks in Python
Question:
I am new to Python and am having trouble with a small task. I have a time series with 8760 hours and certain values. I have already split the course of the values for one year. But now I want to plot the course of the values both weekly and daily. Can you help me with this? I would be very grateful
| timestep | value |
| -------- | -------- |
| 1 | … |
| 2
…
| 8760 | … |
Answers:
You have to create a new dataframe by calculate the average of the hours. For example, daily will be 24 hours.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
path = "" #Your path
df = pd.read_csv (path+"data.csv")
daily=df.groupby(np.arange(len(df))//24).mean()
plt.plot(daily['timestep'],daily['value'])
plt.show()
For weekly, just change 24 to 24*7.
I am new to Python and am having trouble with a small task. I have a time series with 8760 hours and certain values. I have already split the course of the values for one year. But now I want to plot the course of the values both weekly and daily. Can you help me with this? I would be very grateful
| timestep | value |
| -------- | -------- |
| 1 | … |
| 2
…
| 8760 | … |
You have to create a new dataframe by calculate the average of the hours. For example, daily will be 24 hours.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
path = "" #Your path
df = pd.read_csv (path+"data.csv")
daily=df.groupby(np.arange(len(df))//24).mean()
plt.plot(daily['timestep'],daily['value'])
plt.show()
For weekly, just change 24 to 24*7.