text_html_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import plotly_express as px
import missingno as msn
plt.style.use('bmh')

df = pd.read_excel('../input/volve-production-data/Volve production data.xlsx')

df.isna().sum()

plt.figure(figsize=(15, 6))
plt.title('Oil production for all wells')
sns.lineplot(data=df, x='DATEPRD', y='BORE_OIL_VOL', hue='NPD_WELL_BORE_NAME')