Python for Spreadsheet Users
Chris Cardillo
Data Scientist
import pandas as pd
fruit = pd.read_excel('fruit.xlsx')
print(fruit)
.head()
.info()
.describe()
.sort_values()
import pandas as pd
fruit = pd.read_excel('fruit.xlsx')
print(fruit.head())
import pandas as pd
fruit = pd.read_excel('fruit.xlsx')
print(fruit.head(2))
import pandas as pd
fruit = pd.read_excel('fruit.xlsx')
print(fruit.info())
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 8 entries, 0 to 7
Data columns (total 3 columns):
# Column Non-Null Count Dtype
-- ------ -------------- -----
0 name 8 non-null object
1 color 8 non-null object
2 price_usd 8 non-null float64
dtypes: float64(1), object(2)
memory usage: 272.0+ bytes
import pandas as pd
fruit = pd.read_excel('fruit.xlsx')
print(fruit.describe())
import pandas as pd
fruit = pd.read_excel('fruit.xlsx')
fruit = fruit.sort_values('name')
fruit = fruit.reset_index(drop=True)
print(fruit)
import pandas as pd
fruit = pd.read_excel('fruit.xlsx')
fruit = fruit.sort_values('price_usd', ascending=False)
fruit = fruit.reset_index(drop=True)
print(fruit.head(3))
Python for Spreadsheet Users