Menu
How do i convert a pandas index of strings to datetime format
my dataframe 'df' is like this
value 2015-09-25 00:46 71.925000 2015-09-25 00:47 71.625000 2015-09-25 00:48 71.333333 2015-09-25 00:49 64.571429 2015-09-25 00:50 72.285714 but the index is of type string, but i need it a datetime format because i get the error
'Index' object has no attribute 'hour' when using
df['A'] = df.index.hour 
982
To convert the index of a DataFrame to DatetimeIndex , use Pandas' to_datetime(~) method.
To reset the index in pandas, you simply need to chain the function . reset_index() with the dataframe object. On applying the . reset_index() function, the index gets shifted to the dataframe as a separate column.
The most straightforward way to drop a Pandas dataframe index is to use the Pandas . reset_index() method. By default, the method will only reset the index, forcing values from 0 - len(df)-1 as the index. The method will also simply insert the dataframe index into a column in the dataframe.
To get the index of a Pandas DataFrame, call DataFrame. index property. The DataFrame. index property returns an Index object representing the index of this DataFrame.
It should work as expected. Try to run the following example.
import pandas as pd import io data = """value "2015-09-25 00:46" 71.925000 "2015-09-25 00:47" 71.625000 "2015-09-25 00:48" 71.333333 "2015-09-25 00:49" 64.571429 "2015-09-25 00:50" 72.285714""" df = pd.read_table(io.StringIO(data), delim_whitespace=True) # Converting the index as date df.index = pd.to_datetime(df.index) # Extracting hour & minute df['A'] = df.index.hour df['B'] = df.index.minute df # value A B # 2015-09-25 00:46:00 71.925000 0 46 # 2015-09-25 00:47:00 71.625000 0 47 # 2015-09-25 00:48:00 71.333333 0 48 # 2015-09-25 00:49:00 64.571429 0 49 # 2015-09-25 00:50:00 72.285714 0 50 You could explicitly create a DatetimeIndex when initializing the dataframe. Assuming your data is in string format
data = [ ('2015-09-25 00:46', '71.925000'), ('2015-09-25 00:47', '71.625000'), ('2015-09-25 00:48', '71.333333'), ('2015-09-25 00:49', '64.571429'), ('2015-09-25 00:50', '72.285714'), ] index, values = zip(*data) frame = pd.DataFrame({ 'values': values }, index=pd.DatetimeIndex(index)) print(frame.index.minute) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
