Mining project

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

df = pd.read_csv('MiningProcess_Flotation_Plant_Database.csv',decimal=",")

df.head()

df.shape

df['% Iron Feed']

df.describe()

max_date = df['date'].max()
print('The max date is ' + str(max_date))

min_date = df['date'].min()
print('The min date is ' + str(min_date))

df_june = df[(df['date'] > "2017-05-31 23:59:59") & (df['date'] < "2017-06-02")].reset_index(drop=True)
important_cols = ['date', '% Iron Concentrate', '% Silica Concentrate', 'Ore Pulp pH', 'Flotation Column 05 Level']
df_june_important = df_june[important_cols]
print(df_june_important)

sns.pairplot(df_june_important)

df_june_important.corr()

sns.lineplot(x = 'date', y = '% Iron Concentrate', data = df_june)

for i in important_cols:
    sns.lineplot(x = 'date', y = i,  data = df_june)
    plt.show()