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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
Spot graph by age and score by MapPlotLib
Below code shows a graph displaying multiple spots by age and score stored in a pandas data frame.
| Code Block | ||
|---|---|---|
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import pandas as pd
from matplotlib import pyplot as plt
# Create a DataFrame
d = {
'Name':['Alisa','Bobby','jodha','jack','raghu','Cathrine',
'Alisa','Bobby','kumar','Alisa','Alex','Cathrine'],
'Age':[26,24,23,22,23,24,26,24,22,23,24,24],
'Score':[85,63,55,74,31,77,85,63,42,62,89,77]
}
df = pd.DataFrame(d,columns=['Name','Age','Score'])
plt.plot(df['Age'], df['Score'], 'ro')
plt.xlabel('Age')
plt.ylabel('Score')
plt.title('Experiment Result')
plt.show() |
Result
Algorithms
Palindrome number - Determine whether an integer is a palindrome
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