CODEWITHSUNDEEP
pythondataframetime
Hong
Hong

Reputation: 263

python how to change the time format from csv file

After using pd.read_csv(), I get the data bellow. But in the first column, the time format is wrong. Could you please tell me how to correct it? Thanks. The data is like below, the first column should be 2017/4/10 9:25:00 rather than 42835.39236.

     datetime   open   high    low  close
0  42835.39236  20.72  20.72  20.72  20.72
1  42835.39583  20.72  20.72  20.67  20.67
2  42835.39653  20.66  20.67  20.62  20.63
3  42835.39722  20.63  20.65  20.59  20.59
4  42835.39792  20.59  20.59  20.52  20.52

Upvotes: 2

Views: 722

Answers (3)

Anuprita
Anuprita

Reputation: 33

import datetime

try this:

tt = pd.read_csv('aa.csv', parse_dates=True)

print(tt)

It will print as follows / as per expectation, sorry I am new in this stackoverflow, but this answer works.

datetime        open       high       low       close

9:25:00 AM      20.72      20.72      20.72      20.72

9:30:00 AM      20.72      20.72      20.67      20.67

9:31:00 AM      20.66      20.67      20.62      20.63

9:32:00 AM      20.63      20.65      20.59      20.59

9:33:00 AM      20.59      20.59      20.52      20.52

Upvotes: 0

zipa
zipa

Reputation: 27869

To get the correct date use:

import datetime as dt

df['datetime'] = pd.TimedeltaIndex(df['datetime'], unit='d') + dt.datetime(1899, 12, 30)

Which will produce:

                 datetime   open   high    low  close
0 2017-04-10 09:24:59.904  20.72  20.72  20.72  20.72
1 2017-04-10 09:29:59.712  20.72  20.72  20.67  20.67
2 2017-04-10 09:31:00.192  20.66  20.67  20.62  20.63
3 2017-04-10 09:31:59.808  20.63  20.65  20.59  20.59
4 2017-04-10 09:33:00.288  20.59  20.59  20.52  20.52

EDIT

To split datetime into date and time use:

df['date'] = df['datetime'].dt.date
df['time'] = df['datetime'].dt.ceil('min').dt.time
df
#                 datetime   open   high    low  close        date      time
#0 2017-04-10 09:24:59.904  20.72  20.72  20.72  20.72  2017-04-10  09:25:00
#1 2017-04-10 09:29:59.712  20.72  20.72  20.67  20.67  2017-04-10  09:30:00
#2 2017-04-10 09:31:00.192  20.66  20.67  20.62  20.63  2017-04-10  09:32:00
#3 2017-04-10 09:31:59.808  20.63  20.65  20.59  20.59  2017-04-10  09:32:00
#4 2017-04-10 09:33:00.288  20.59  20.59  20.52  20.52  2017-04-10  09:34:00

Upvotes: 3

Mayank Porwal
Mayank Porwal

Reputation: 34046

Just use pd.to_datetime:

In [741]: df
Out[741]: 
          date
0  42835.39236

In [742]: df['date'] = df['date'].apply(pd.to_datetime)

In [743]: df
Out[743]: 
                           date
0 1970-01-01 00:00:00.000042835

Pandas will convert it to datetime.

Upvotes: 3

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