Why built-in plotting matters in Pandas - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a simple line plot of the 'sales' column.

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'month': ['Jan', 'Feb', 'Mar'], 'sales': [100, 150, 200]}
df = pd.DataFrame(data)
df['sales'].[1]()
plt.show()

Drag options to blanks, or click blank then click option'

Acount

Bsum

Cmean

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Using aggregation methods like sum or mean instead of plot.

Forgetting to call plt.show() to display the plot.

The 'plot' method creates a line plot of the 'sales' column.

2fill in blank

medium

Complete the code to plot a bar chart of the 'sales' column.

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'month': ['Jan', 'Feb', 'Mar'], 'sales': [100, 150, 200]}
df = pd.DataFrame(data)
df['sales'].plot(kind=[1])
plt.show()

Drag options to blanks, or click blank then click option'

A'bar'

B'line'

C'scatter'

D'hist'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'line' which is the default but not a bar chart.

Using 'scatter' which requires x and y parameters.

Setting kind='bar' creates a bar chart of the 'sales' data.

3fill in blank

hard

Fix the error in the code to plot a histogram of the 'sales' column.

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'sales': [100, 150, 200, 150, 100]}
df = pd.DataFrame(data)
df['sales'].plot([1]='hist')
plt.show()

Drag options to blanks, or click blank then click option'

Astyle

Btype

Ckind

Dformat

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'type' or 'style' which are not valid parameters for plot().

Misspelling 'kind'.

The correct parameter to specify plot type is 'kind'.

4fill in blank

hard

Fill both blanks to create a scatter plot with 'month' on x-axis and 'sales' on y-axis.

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'month': ['Jan', 'Feb', 'Mar'], 'sales': [100, 150, 200]}
df = pd.DataFrame(data)
df.plot(x=[1], y=[2], kind='scatter')
plt.show()

Drag options to blanks, or click blank then click option'

A'month'

B'sales'

C'price'

D'quantity'

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping x and y values.

Using column names not in the DataFrame.

The x-axis is 'month' and y-axis is 'sales' for the scatter plot.

5fill in blank

hard

Fill all three blanks to create a line plot with title and grid enabled.

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'day': [1, 2, 3], 'temperature': [22, 21, 23]}
df = pd.DataFrame(data)
ax = df.plot(x=[1], y=[2], kind=[3])
ax.set_title('Daily Temperature')
ax.grid(True)
plt.show()

Drag options to blanks, or click blank then click option'

A'day'

B'temperature'

C'line'

D'scatter'

Attempts:

3 left

💡 Hint

Common Mistakes

Using kind='scatter' which changes the plot type.

Mixing up x and y columns.

Use x='day', y='temperature', and kind='line' to plot the temperature over days.