datetime64

Does the unit passed to the datetime64 data type in pandas do anything? Question: Does the unit passed to the datetime64 data type in pandas do anything? Consider this code: import pandas as pd v1 = pd.DataFrame({‘Date’:[‘2020-01-01’]*1000}).astype({‘Date’:’datetime64′}) v2 = pd.DataFrame({‘Date’:[‘2020-01-01’]*1000}).astype({‘Date’:’datetime64[ns]’}) v3 = pd.DataFrame({‘Date’:[‘2020-01-01’]*1000}).astype({‘Date’:’datetime64[ms]’}) v4 = pd.DataFrame({‘Date’:[‘2020-01-01’]*1000}).astype({‘Date’:’datetime64[s]’}) v5 = pd.DataFrame({‘Date’:[‘2020-01-01’]*1000}).astype({‘Date’:’datetime64[h]’}) v6 = pd.DataFrame({‘Date’:[‘2020-01-01’]*1000}).astype({‘Date’:’datetime64[D]’}) v7 = pd.DataFrame({‘Date’:[‘2020-01-01’]*1000}).astype({‘Date’:’datetime64[M]’}) …

Issue with converting a pandas column from int64 to datetime64 Question: I’m trying to convert a column of Year values from int64 to datetime64 in pandas. The column currently looks like Year 2003 2003 2003 2003 2003 … 2021 2021 2021 2021 2021 However the data type listed when I use dataset[‘Year’].dtypes is int64. That’s …

Comparison between datetime and datetime64[ns] in pandas Question: I’m writing a program that checks an excel file and if today’s date is in the excel file’s date column, I parse it I’m using: cur_date = datetime.today() for today’s date. I’m checking if today is in the column with: bool_val = cur_date in df[‘date’] #evaluates to …

Extracting the first day of month of a datetime type column in pandas Question: I have the following dataframe: user_id purchase_date 1 2015-01-23 14:05:21 2 2015-02-05 05:07:30 3 2015-02-18 17:08:51 4 2015-03-21 17:07:30 5 2015-03-11 18:32:56 6 2015-03-03 11:02:30 and purchase_date is a datetime64[ns] column. I need to add a new column df[month] that contains …

Difference between data type 'datetime64[ns]' and '<M8[ns]'? Question: I have created a TimeSeries in pandas: In [346]: from datetime import datetime In [347]: dates = [datetime(2011, 1, 2), datetime(2011, 1, 5), datetime(2011, 1, 7), …..: datetime(2011, 1, 8), datetime(2011, 1, 10), datetime(2011, 1, 12)] In [348]: ts = Series(np.random.randn(6), index=dates) In [349]: ts Out[349]: 2011-01-02 …