- columns
- dtypes
- index
- values
- describe
import sys
import pandas as pd
filename = "planets.csv"
if len(sys.argv) == 2:
filename = sys.argv[1]
df = pd.read_csv(filename)
print(df.columns)
print()
print(df.dtypes)
print()
print(df.index)
print()
print(df.values)
print()
print(df.describe())
Index(['Planet name', 'Distance (AU)', 'Mass'], dtype='object')
Planet name object
Distance (AU) float64
Mass float64
dtype: object
RangeIndex(start=0, stop=11, step=1)
[['Mercury' 0.4 0.055]
['Venus' 0.7 0.815]
['Earth' 1.0 1.0]
['Mars' 1.5 0.107]
['Ceres' 2.77 0.00015]
['Jupiter' 5.2 318.0]
['Saturn' 9.5 95.0]
['Uranus' 19.6 14.0]
['Neptune' 30.0 17.0]
['Pluto' 39.0 0.00218]
['Charon' 39.0 0.000254]]
Distance (AU) Mass
count 11.000000 11.000000
mean 13.515455 40.543599
std 15.638671 96.205021
min 0.400000 0.000150
25% 1.250000 0.028590
50% 5.200000 0.815000
75% 24.800000 15.500000
max 39.000000 318.000000