55 lines
1.0 KiB
Python
55 lines
1.0 KiB
Python
|
import matplotlib.pyplot as plt
|
||
|
import pandas as pd
|
||
|
import seaborn as sns
|
||
|
from pandas.plotting import register_matplotlib_converters
|
||
|
register_matplotlib_converters()
|
||
|
|
||
|
# Import data (Make sure to parse dates. Consider setting index column to 'date'.)
|
||
|
df = None
|
||
|
|
||
|
# Clean data
|
||
|
df = None
|
||
|
|
||
|
|
||
|
def draw_line_plot():
|
||
|
# Draw line plot
|
||
|
|
||
|
|
||
|
|
||
|
|
||
|
|
||
|
# Save image and return fig (don't change this part)
|
||
|
fig.savefig('line_plot.png')
|
||
|
return fig
|
||
|
|
||
|
def draw_bar_plot():
|
||
|
# Copy and modify data for monthly bar plot
|
||
|
df_bar = None
|
||
|
|
||
|
# Draw bar plot
|
||
|
|
||
|
|
||
|
|
||
|
|
||
|
|
||
|
# Save image and return fig (don't change this part)
|
||
|
fig.savefig('bar_plot.png')
|
||
|
return fig
|
||
|
|
||
|
def draw_box_plot():
|
||
|
# Prepare data for box plots (this part is done!)
|
||
|
df_box = df.copy()
|
||
|
df_box.reset_index(inplace=True)
|
||
|
df_box['year'] = [d.year for d in df_box.date]
|
||
|
df_box['month'] = [d.strftime('%b') for d in df_box.date]
|
||
|
|
||
|
# Draw box plots (using Seaborn)
|
||
|
|
||
|
|
||
|
|
||
|
|
||
|
|
||
|
# Save image and return fig (don't change this part)
|
||
|
fig.savefig('box_plot.png')
|
||
|
return fig
|