26 lines
710 B
Python
26 lines
710 B
Python
from matplotlib import pyplot as plt
|
|
import pandas as pd
|
|
|
|
# Import data and rename relevant column.
|
|
file_path = input()
|
|
df = pd.read_excel(file_path, header=6, usecols=['Import/export'])
|
|
df.rename(columns={'Import/export': 'balance'}, inplace=True)
|
|
|
|
# Create columns.
|
|
df['hour']=df.index
|
|
df['y']=df['hour'].apply(lambda x: int(x/120))
|
|
df['x']=df['hour'].apply(lambda x: int(x%120))
|
|
|
|
# Set export to orange and import to grey.
|
|
df['color'] = df['balance'].apply(lambda x: 'orange' if x < 0 else 'grey')
|
|
|
|
# Plot the data.
|
|
ax = df.plot(kind='scatter', x='x', y='y', c='color')
|
|
|
|
# Hide irrelevant names on axes.
|
|
ax.axes.get_xaxis().set_visible(False)
|
|
ax.axes.get_yaxis().set_visible(False)
|
|
|
|
# Show plot.
|
|
plt.show()
|