Python

Search

pandas read_csv dtype datetime

#You might try passing actual types instead of strings.
import pandas as pd
from datetime import datetime
headers = ['col1', 'col2', 'col3', 'col4'] 
dtypes = [datetime, datetime, str, float] 
pd.read_csv(file, sep='	', header=None, names=headers, dtype=dtypes)

#But it's going to be really hard to diagnose this without any of your 
#data to tinker with. And really, you probably want pandas to parse 
#the the dates into TimeStamps, so that might be:
pd.read_csv(file, sep='	', header=None, names=headers, parse_dates=True)

Comment

PREVIOUS	NEXT

Code Example
Python :: python split word into letter pairs
Python :: python cv2 convert image to binary
Python :: install python altair
Python :: scipy cosine distance
Python :: find the index of a character in a string python
Python :: unique_together what is used of it in django
Python :: def function python
Python :: pandas datetime from date month year columns
Python :: how to add two numbers
Python :: hashing vs encryption vs encoding
Python :: count unique elements in list python
Python :: python update
Python :: ++ python
Python :: install opencv for python 2.7
Python :: fill nan values with mean
Python :: check how many times a substring appears in a string
Python :: check if there are duplicates in list
Python :: line length in flake8
Python :: pandas df num rows
Python :: swagger library for django
Python :: python order by date
Python :: python multiline comment
Python :: python hide print output
Python :: how to make addition in python
Python :: python null
Python :: scikit learn pca
Python :: get the name of a current script in python
Python :: combination of 1 2 3 4 5 python
Python :: python read json file array
Python :: how to get int input in python

Search

PYTHON

pandas read_csv dtype datetime

ADD CONTENT