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OverflowError: mktime argument out of range

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0

OverflowError: mktime argument out of range
How to overcome above error?
We are using Anaconda3 in Windows 10

import pandas as pd
import datetime
def convert_to_unix(s):
 return time.mktime(datetime.datetime.strptime(s,"%m/%d/%Y %H:%M").timetuple())
def return_with_trip_times(month):
 duration = month[['tpep_pickup_datetime','tpep_dropoff_datetime']]
 duration_pickup = [convert_to_unix(x) for x in duration['tpep_pickup_datetime'].astype(str).values]
 duration_drop = [convert_to_unix(x) for x in duration['tpep_dropoff_datetime'].astype(str).values]
 durations = (np.array(duration_drop) - np.array(duration_pickup))/float(60)
 new_frame = month[['passenger_count','trip_distance','pickup_longitude','pickup_latitude','dropoff_longitude','dropoff_latitude','total_amount']]
 new_frame['trip_times'] = durations
 new_frame['pickup_times'] = duration_pickup
 new_frame['Speed'] = 60*(new_frame['trip_distance']/new_frame['trip_times'])
 return new_frame
frame_with_durations = return_with_trip_times(month)
sns.boxplot(y="trip_times", data =frame_with_durations)
plt.show()

python-3.x datetime anaconda spyder

share|improve this question

edited Mar 26 at 8:17

KEERTHANA 15CS26

asked Mar 26 at 8:03

KEERTHANA 15CS26KEERTHANA 15CS26

133 bronze badges

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Can you share the result of month.info(), so I can think of a better way to achieve the same?
  
  – Antoan Milkov
  Mar 26 at 10:46
  

  
  
  
  

add a comment | 

0

OverflowError: mktime argument out of range
How to overcome above error?
We are using Anaconda3 in Windows 10

import pandas as pd
import datetime
def convert_to_unix(s):
 return time.mktime(datetime.datetime.strptime(s,"%m/%d/%Y %H:%M").timetuple())
def return_with_trip_times(month):
 duration = month[['tpep_pickup_datetime','tpep_dropoff_datetime']]
 duration_pickup = [convert_to_unix(x) for x in duration['tpep_pickup_datetime'].astype(str).values]
 duration_drop = [convert_to_unix(x) for x in duration['tpep_dropoff_datetime'].astype(str).values]
 durations = (np.array(duration_drop) - np.array(duration_pickup))/float(60)
 new_frame = month[['passenger_count','trip_distance','pickup_longitude','pickup_latitude','dropoff_longitude','dropoff_latitude','total_amount']]
 new_frame['trip_times'] = durations
 new_frame['pickup_times'] = duration_pickup
 new_frame['Speed'] = 60*(new_frame['trip_distance']/new_frame['trip_times'])
 return new_frame
frame_with_durations = return_with_trip_times(month)
sns.boxplot(y="trip_times", data =frame_with_durations)
plt.show()

python-3.x datetime anaconda spyder

share|improve this question

edited Mar 26 at 8:17

KEERTHANA 15CS26

asked Mar 26 at 8:03

KEERTHANA 15CS26KEERTHANA 15CS26

133 bronze badges

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Can you share the result of month.info(), so I can think of a better way to achieve the same?
  
  – Antoan Milkov
  Mar 26 at 10:46
  

  
  
  
  

add a comment | 

OverflowError: mktime argument out of range
How to overcome above error?
We are using Anaconda3 in Windows 10

import pandas as pd
import datetime
def convert_to_unix(s):
 return time.mktime(datetime.datetime.strptime(s,"%m/%d/%Y %H:%M").timetuple())
def return_with_trip_times(month):
 duration = month[['tpep_pickup_datetime','tpep_dropoff_datetime']]
 duration_pickup = [convert_to_unix(x) for x in duration['tpep_pickup_datetime'].astype(str).values]
 duration_drop = [convert_to_unix(x) for x in duration['tpep_dropoff_datetime'].astype(str).values]
 durations = (np.array(duration_drop) - np.array(duration_pickup))/float(60)
 new_frame = month[['passenger_count','trip_distance','pickup_longitude','pickup_latitude','dropoff_longitude','dropoff_latitude','total_amount']]
 new_frame['trip_times'] = durations
 new_frame['pickup_times'] = duration_pickup
 new_frame['Speed'] = 60*(new_frame['trip_distance']/new_frame['trip_times'])
 return new_frame
frame_with_durations = return_with_trip_times(month)
sns.boxplot(y="trip_times", data =frame_with_durations)
plt.show()

python-3.x datetime anaconda spyder

share|improve this question

edited Mar 26 at 8:17

KEERTHANA 15CS26

asked Mar 26 at 8:03

KEERTHANA 15CS26KEERTHANA 15CS26

133 bronze badges

import pandas as pd
import datetime
def convert_to_unix(s):
 return time.mktime(datetime.datetime.strptime(s,"%m/%d/%Y %H:%M").timetuple())
def return_with_trip_times(month):
 duration = month[['tpep_pickup_datetime','tpep_dropoff_datetime']]
 duration_pickup = [convert_to_unix(x) for x in duration['tpep_pickup_datetime'].astype(str).values]
 duration_drop = [convert_to_unix(x) for x in duration['tpep_dropoff_datetime'].astype(str).values]
 durations = (np.array(duration_drop) - np.array(duration_pickup))/float(60)
 new_frame = month[['passenger_count','trip_distance','pickup_longitude','pickup_latitude','dropoff_longitude','dropoff_latitude','total_amount']]
 new_frame['trip_times'] = durations
 new_frame['pickup_times'] = duration_pickup
 new_frame['Speed'] = 60*(new_frame['trip_distance']/new_frame['trip_times'])
 return new_frame
frame_with_durations = return_with_trip_times(month)
sns.boxplot(y="trip_times", data =frame_with_durations)
plt.show()

share|improve this question

edited Mar 26 at 8:17

KEERTHANA 15CS26

asked Mar 26 at 8:03

KEERTHANA 15CS26KEERTHANA 15CS26

133 bronze badges

share|improve this question

edited Mar 26 at 8:17

KEERTHANA 15CS26

asked Mar 26 at 8:03

KEERTHANA 15CS26KEERTHANA 15CS26

133 bronze badges

asked Mar 26 at 8:03

KEERTHANA 15CS26KEERTHANA 15CS26

133 bronze badges

asked Mar 26 at 8:03

KEERTHANA 15CS26KEERTHANA 15CS26

133 bronze badges