{ "componentChunkName": "component---src-templates-blog-post-js", "path": "/math-methods-on-pandas-series-objects/", "result": {"data":{"markdownRemark":{"html":"
\n\n
\n

Let's read the budget.xlsx file into a DataFrame:

\n
import pandas as pd\n\ndata = pd.read_excel("budget.xlsx", sheet_name="sheet2")\n\ndata
\n

Output:

\n

\n \n \n \n \n

\n

sum()

\n
data["Revenue"].sum()\n\n11074400.0
\n

mean()

\n
data["Revenue"].mean()\n\n1006763.6363636364
\n

count()

\n
data["Revenue"].count()\n\n11
\n

max()

\n
data["Revenue"].max()\n\n2161200.0
\n

min()

\n
data["Revenue"].min()\n\n459600.0
\n

len

\n
len(data)\n\n11
\n

describe()

\n
data["Revenue"].describe()\n\ncount    1.100000e+01\nmean     1.006764e+06\nstd      5.276084e+05\nmin      4.596000e+05\n25%      5.988000e+05\n50%      9.024000e+05\n75%      1.248000e+06\nmax      2.161200e+06\nName: Revenue, dtype: float64
\n
\n","frontmatter":{"title":"Math Methods on Pandas Series Objects","date":"2021-08-15"}}},"pageContext":{"slug":"/math-methods-on-pandas-series-objects/","prev":{"fields":{"slug":"/filter-a-pandas-dataframe-using-the-query-method/"},"frontmatter":{"modules":null}},"next":{"fields":{"slug":"/pandas-delete-a-series-using-the-del-keyword/"},"frontmatter":{"modules":null}}}}, "staticQueryHashes": ["3159585216"]}