create two subplots: subplot 1 – line plot of “nl10138” and “nl10538” over time and subplot 2 – line plot of nl10636 versus nl10643 over time. in python

main.py
import matplotlib.pyplot as plt
import pandas as pd

# create sample data
data = {'time': ['2022-01-01', '2022-02-01', '2022-03-01', '2022-04-01', '2022-05-01', '2022-06-01', '2022-07-01', '2022-08-01'],
        'nl10138': [10, 20, 15, 30, 25, 35, 30, 40],
        'nl10538': [5, 15, 10, 25, 20, 30, 25, 35],
        'nl10636': [8, 18, 13, 28, 23, 33, 28, 38],
        'nl10643': [6, 16, 11, 26, 21, 31, 26, 36]}

df = pd.DataFrame(data)
df['time'] = pd.to_datetime(df['time'])
df.set_index('time', inplace=True)

# create subplots
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))

# subplot 1
ax1.plot(df.index, df['nl10138'], label='nl10138')
ax1.plot(df.index, df['nl10538'], label='nl10538')
ax1.set_title('nl10138 and nl10538 over time')
ax1.set_xlabel('Time')
ax1.set_ylabel('Values')
ax1.legend()

# subplot 2
ax2.plot(df.index, df['nl10636'], label='nl10636')
ax2.plot(df.index, df['nl10643'], label='nl10643')
ax2.set_title('nl10636 vs nl10643 over time')
ax2.set_xlabel('Time')
ax2.set_ylabel('Values')
ax2.legend()

plt.show()
1043 chars
35 lines