test3.py

import numpy as np
import pandas as pd

# Print something
# df = pd.read_csv("short.csv")
# print(df.head())

# Read Specific Columns
# df = pd.read_csv("short.csv", usecols=["ride_id", "started_at", "ended_at", "start_station_name", "member_casual"], nrows=3, parse_dates=["started_at", "ended_at"])
# print(df)

# Describe
# data = pd.read_csv('short.csv')
# print("Bike Share:")
# print(data.head())
# print("\nSummary Table Generated by .describe() Method:")
# print(data.describe())

# Subtract
# df = pd.read_csv("short.csv", usecols=["ride_id", "started_at", "ended_at", "start_station_name", "member_casual"], parse_dates=["started_at", "ended_at"])
# df["ride_time_mins"] = np.round((df["ended_at"] - df["started_at"]).dt.total_seconds()/60, 1);
# print(df)

# Real data
# df = pd.read_csv("data/202606-capitalbikeshare-tripdata.csv", usecols=["ride_id", "started_at", "ended_at", "start_station_name", "member_casual"], parse_dates=["started_at", "ended_at"])
# df["ride_time_mins"] = np.round((df["ended_at"] - df["started_at"]).dt.total_seconds()/60, 1)
# print(df.head())
# print(df.describe())