import pandas as pd
from matplotlib import pyplot as plt
# Read CSV into pandas
data = pd.read_csv(r"cars.csv")
data.head()
df = pd.DataFrame(data)
name = df['car'].head(12)
price = df['price'].head(12)
# Figure Size
fig, ax = plt.subplots(figsize =(16, 9))
# Horizontal Bar Plot
ax.barh(name, price)
# Remove axes splines
for s in ['top', 'bottom', 'left', 'right']:
ax.spines[s].set_visible(False)
# Remove x, y Ticks
ax.xaxis.set_ticks_position('none')
ax.yaxis.set_ticks_position('none')
# Add padding between axes and labels
ax.xaxis.set_tick_params(pad = 5)
ax.yaxis.set_tick_params(pad = 10)
# Add x, y gridlines
ax.grid(b = True, color ='grey',
linestyle ='-.', linewidth = 0.5,
alpha = 0.2)
# Show top values
ax.invert_yaxis()
# Add annotation to bars
for i in ax.patches:
plt.text(i.get_width()+0.2, i.get_y()+0.5,
str(round((i.get_width()), 2)),
fontsize = 10, fontweight ='bold',
color ='grey')
# Add Plot Title
ax.set_title('Sports car and their price in crore',
loc ='left', )
# Add Text watermark
fig.text(0.9, 0.15, 'Jeeteshgavande30', fontsize = 12,
color ='grey', ha ='right', va ='bottom',
alpha = 0.7)
# Show Plot
plt.show()
