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pd.read_csv(r"cars.csv")

Humphrey Alph answered on November 11, 2022 Popularity 1/10 Helpfulness 1/10

answer pd.read_csv(r"cars.csv")

related pd.read_csv(r"cars.csv")

pd.read_csv(r"cars.csv")

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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()

Popularity 1/10 Helpfulness 1/10 Language python

Source: www.geeksforgeeks.org

Tags: python

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Contributed on Nov 11 2022

Humphrey Alph

0 Answers Avg Quality 2/10

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pd.read_csv(r"cars.csv")

Comment

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 = plt.figure(figsize =(10, 7))
 
# Horizontal Bar Plot
plt.bar(name[0:10], price[0:10])
 
# Show Plot
plt.show()

Popularity 1/10 Helpfulness 1/10 Language whatever

Source: www.geeksforgeeks.org

Tags: whatever

Link to this answer
Share Copy Link

Contributed on Nov 11 2022

Humphrey Alph

0 Answers Avg Quality 2/10

pd.read_csv(r"cars.csv")

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