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Updated 3 years ago
Downloading the data
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import plotly.express as px
import matplotlib
matplotlib.rcParams['figure.figsize'] = 10,10
nyc_df = pd.read_csv('train.csv')
nyc_dfnyc_df.info()<class 'pandas.core.frame.DataFrame'>
RangeIndex: 30499 entries, 0 to 30498
Data columns (total 11 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 id 30499 non-null object
1 vendor_id 30499 non-null int64
2 pickup_datetime 30499 non-null object
3 dropoff_datetime 30499 non-null object
4 passenger_count 30499 non-null int64
5 pickup_longitude 30499 non-null float64
6 pickup_latitude 30499 non-null float64
7 dropoff_longitude 30499 non-null float64
8 dropoff_latitude 30498 non-null float64
9 store_and_fwd_flag 30498 non-null object
10 trip_duration 30498 non-null float64
dtypes: float64(5), int64(2), object(4)
memory usage: 2.6+ MB
nyc_df.describe()