
In this post, you will learn How to calculate common statistics in pandas.
Read a Dataset –
import pandas as pd
url = "https://raw.githubusercontent.com/bprasad26/lwd/master/data/titanic.csv"
df = pd.read_csv(url)
df.head()
Mean –
df['Fare'].mean()
out - 32.204207968574636
Median –
df['Fare'].median()
out - 14.4542
SUM –
df['Fare'].sum()
out - 28693.9493
Maximum –
df['Fare'].max()
out - 512.3292
Minimum –
df['Fare'].min()
out - 0.0
Count –
df['Fare'].count()
out - 891
Variance –
df['Fare'].var()
out - 2469.436845743116
Standard deviation –
df['Fare'].std()
out - 49.6934285971809