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| Code Block |
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import pandas as pd
header = pd.MultiIndex.from_product([['Semester1','Semester2'],['Maths','Science']])
d=([[12,45,67,56],[78,89,45,67],[45,67,89,90],[67,44,56,55]])
df = pd.DataFrame(d,
index=['Alisa','Bobby','Cathrine','Jack'],
columns=header)
# stack the dataframe
stacked_df=df.stack()
# unstack the dataframe
unstacked_df = stacked_df.unstack()
# stack the dataframe of column at level 0
stacked_df_lvl=df.stack(level=0)
# unstack the dataframe
unstacked_df1 = stacked_df_lvl.unstack() |
MatPlotLib
Line chart by city and population by MatPlotLib
| Code Block |
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from matplotlib import pyplot as plt
plt.plot(["Seoul","Paris","Seattle"], [30,25,55])
plt.xlabel('City')
plt.ylabel('Response')
plt.title('Experiment Result')
plt.show() |
Result
Bar chart by city and population by MatPlotLib
| Code Block |
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from matplotlib import pyplot as plt
plt.bar(["Seoul","Paris","Seattle"], [30,25,55])
plt.xlabel('City')
plt.ylabel('Response')
plt.title('Experiment Result')
plt.show() |
Result
Spot graph by age and score by MapPlotLib
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