Pandas converters example

In [3]:    
df = pd.read_csv(io.StringIO(t), dtype=object).info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 1 entries, 0 to 0
Data columns (total 4 columns):
int      1 non-null object
float    1 non-null object
date     1 non-null object
str      1 non-null object
dtypes: object(4)
memory usage: 40.0+ bytes

Source: stackoverflow.com

Pandas converters example

In [6]:
pd.read_csv(io.StringIO(t), dtype={'int':'object'}, parse_dates=['date']).info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 1 entries, 0 to 0
Data columns (total 4 columns):
int      1 non-null object
float    1 non-null float64
date     1 non-null datetime64[ns]
str      1 non-null int64
dtypes: datetime64[ns](1), float64(1), int64(1), object(1)
memory usage: 40.0+ bytes

Source: stackoverflow.com

Pandas converters example

In [5]:
pd.read_csv(io.StringIO(t), converters={'date':pd.to_datetime}).info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 1 entries, 0 to 0
Data columns (total 4 columns):
int      1 non-null int64
float    1 non-null float64
date     1 non-null datetime64[ns]
str      1 non-null int64
dtypes: datetime64[ns](1), float64(1), int64(2)
memory usage: 40.0 bytes

Source: stackoverflow.com

Similar codes

0 vote187 views1 answer
Django url patterns static
Python Django
0 vote162 views1 answer
OneHotEncoder(categorical_features=
Python
46 votes194 views3 answers
Pandas apply function to every row
Python
-1 vote157 views1 answer
Web browser api python
Python
1 vote205 views6 answers
Python filter function
Python
16 votes168 views5 answers
Pandas groupby aggregate multiple columns
Python
2 votes180 views2 answers
Numpy count where
Python
2 votes161 views3 answers
How to open file explorer in python
Python
0 vote167 views1 answer
Randomly pick a value in the list
Python
0 vote173 views1 answer
Pop function second argument in python
Python