MinhNguyen minhkstn

## grouped_bar_chart_show_label.py
import pandas as pd
import matplotlib.pyplot as plt

# get input data
df = pd.read_csv('./gdp_capita.csv')

ax = df.plot.bar(x='Year', width=0.8)
ax.set_ylabel('GDP/capita (USD)')

for container in ax.containers:

## grouped_bar_chart.py
import pandas as pd
import matplotlib.pyplot as plt

# get input data
df = pd.read_csv('./gdp_capita.csv')

ax = df.plot.bar(x='Year')
ax.set_ylabel('GDP/capita (USD)')
plt.tight_layout()
plt.show()

## bar_chart_show_value.py
# import necessary libraries
import pandas as pd
import matplotlib.pyplot as plt

# get input data
df = pd.read_csv('./data.csv')

ax = df.plot(x='Year', y='Item 1',
            kind='bar')
ax.set_ylabel("Price (USD)")

## bar_chart.py
# import necessary libraries
import pandas as pd
import matplotlib.pyplot as plt

# get input data
df = pd.read_csv('./data.csv')

ax = df.plot(x='Year', y='Item 1',
            kind='bar')
ax.set_ylabel("Price (USD)")

## data.csv

          
            Year
            Item 1

            
              1990
              5

            
              1995
              7

            
              2000
              10

            
              2005
              12

            
              2010
              15

            
              2015
              18

            
              2020
              22

## data_multiple_line.csv

          
            Year
            Item 1
            Item 2

            
              1990
              5
              2

            
              1995
              7
              4

            
              2000
              10
              6

            
              2005
              12
              8

            
              2010
              15
              10

            
              2015
              18
              12

            
              2020
              22
              14
	import pandas as pd
	import matplotlib.pyplot as plt

	# get input data
	df = pd.read_csv('./gdp_capita.csv')

	ax = df.plot.bar(x='Year', width=0.8)
	ax.set_ylabel('GDP/capita (USD)')

	for container in ax.containers:
	# import necessary libraries
	import pandas as pd
	import matplotlib.pyplot as plt

	# get input data
	df = pd.read_csv('./data.csv')

	ax = df.plot(x='Year', y='Item 1',
	kind='bar')
	ax.set_ylabel("Price (USD)")
Year	Item 1	Item 2
1990	5	2
1995	7	4
2000	10	6
2005	12	8
2010	15	10
2015	18	12
2020	22	14