Creating a plot using matplotlib using dataframes containing two lists-CodePudding

I am using matplotlib for the very first time and trying to learn dataframes.

Now , In my code I have two lists.I have created a dataframe seperately for those two lists. I intend to create a step plot using those lists.

energy_price = [33.28, 30.00, 29.15, 28.49, 34.66, 50.01,  #14 sept nord pool day ahead SE1
               71.52, 77.94, 81.97, 87.90, 92.76, 94.98,
               92.31, 90.03, 90.09, 87.44, 85.37, 79.97,
               79.92, 77.83, 76.28, 65.06, 53.07, 34.16]
rtn_t0=15

price_energy = []
for price in energy_price:
    price_energy = price_energy   [int(price)] * int(60 / rtn_t0) #prices for 96 time slots


time1 = list()

for x in range(1,int(num_t   1)):
    time1.append(x)

df = pd.DataFrame(price_energy)
df = pd.DataFrame(time1)

How do I create a step plot with time1 on x-axis & price_energy on y axis?

Any help would be appreciated.

CodePudding user response：

There in your code you assign df two times, the second time overwrites the first. The proper way should be:

import pandas as pd

df = pd.DataFrame({'time1': time1,
                   'price_energy': price_energy})

Then plot the step plot:

import matplotlib.pyplot as plt

plt.step(x='time1', y='price_energy', data=df)
plt.show()

CodePudding user response：

The