How to filter dateframe by end of business month ('BM') using datetime?
I'm trying to look at the adjusted close stock values of a particular stock at the end of the month. I was able to get a dataframe of dates and adjclose values, but I can't seem to be able to filter that dataframe to include only dates that are end of month and their corresponding adj close value.
apple_adjclose = apple_stock[['date','adjclose']]
this is the dataframe which includes dates for 2 years in the following format YYYY-MM-DD, and adjclose has float values. Help is really appreciated!
Sample picture of input and output I'm getting
(still haven't figured out how to put tables in my questions :)
Other attempt
Attempt 3
Solved here
python pandas datetime data-science
asked Nov 23 '18 at 2:40
OmarOmar
236
add a comment |
I'm trying to look at the adjusted close stock values of a particular stock at the end of the month. I was able to get a dataframe of dates and adjclose values, but I can't seem to be able to filter that dataframe to include only dates that are end of month and their corresponding adj close value.
apple_adjclose = apple_stock[['date','adjclose']]
this is the dataframe which includes dates for 2 years in the following format YYYY-MM-DD, and adjclose has float values. Help is really appreciated!
Sample picture of input and output I'm getting
(still haven't figured out how to put tables in my questions :)
Other attempt
Attempt 3
Solved here
python pandas datetime data-science
asked Nov 23 '18 at 2:40
OmarOmar
236
2
Welcome to Stackoverflow. Add some sample data and expected output.
– min2bro
Nov 23 '18 at 2:52
@min2bro Thanks! I just added a picture of my input and output.
– Omar
Nov 23 '18 at 3:14
add a comment |
I'm trying to look at the adjusted close stock values of a particular stock at the end of the month. I was able to get a dataframe of dates and adjclose values, but I can't seem to be able to filter that dataframe to include only dates that are end of month and their corresponding adj close value.
apple_adjclose = apple_stock[['date','adjclose']]
this is the dataframe which includes dates for 2 years in the following format YYYY-MM-DD, and adjclose has float values. Help is really appreciated!
Sample picture of input and output I'm getting
(still haven't figured out how to put tables in my questions :)
Other attempt
Attempt 3
Solved here
python pandas datetime data-science
asked Nov 23 '18 at 2:40
OmarOmar
236
I'm trying to look at the adjusted close stock values of a particular stock at the end of the month. I was able to get a dataframe of dates and adjclose values, but I can't seem to be able to filter that dataframe to include only dates that are end of month and their corresponding adj close value.
apple_adjclose = apple_stock[['date','adjclose']]
this is the dataframe which includes dates for 2 years in the following format YYYY-MM-DD, and adjclose has float values. Help is really appreciated!
Sample picture of input and output I'm getting
(still haven't figured out how to put tables in my questions :)
Other attempt
Attempt 3
Solved here
python pandas datetime data-science
python pandas datetime data-science
asked Nov 23 '18 at 2:40
OmarOmar
236
asked Nov 23 '18 at 2:40
OmarOmar
236
edited Nov 23 '18 at 12:31
Omar
asked Nov 23 '18 at 2:40
OmarOmar
236
asked Nov 23 '18 at 2:40
OmarOmar
236
asked Nov 23 '18 at 2:40
OmarOmar
236
236
2
Welcome to Stackoverflow. Add some sample data and expected output.
– min2bro
Nov 23 '18 at 2:52
@min2bro Thanks! I just added a picture of my input and output.
– Omar
Nov 23 '18 at 3:14
add a comment |
2
Welcome to Stackoverflow. Add some sample data and expected output.
– min2bro
Nov 23 '18 at 2:52
@min2bro Thanks! I just added a picture of my input and output.
– Omar
Nov 23 '18 at 3:14
2
2
Welcome to Stackoverflow. Add some sample data and expected output.
– min2bro
Nov 23 '18 at 2:52
Welcome to Stackoverflow. Add some sample data and expected output.
– min2bro
Nov 23 '18 at 2:52
@min2bro Thanks! I just added a picture of my input and output.
– Omar
Nov 23 '18 at 3:14
@min2bro Thanks! I just added a picture of my input and output.
– Omar
Nov 23 '18 at 3:14
add a comment |
2 Answers
2
active
oldest
votes
Lets say you have a dataframe like this with two columns,
dates = pd.date_range('01/01/2016', '12/31/2017')
df = pd.DataFrame({'date':dates,'adjclose':np.random.randint(100,200, len(dates))})
You can create an instance of offsets BMonthEnd to get the dates with MonthEnd freq and slice of the dataframe
df.loc[df.date.isin(df.date + pd.offsets.BMonthEnd(1))]
adjclose date
28 128 2016-01-29
59 193 2016-02-29
90 167 2016-03-31
119 185 2016-04-29
151 133 2016-05-31
181 184 2016-06-30
answered Nov 23 '18 at 3:11
VaishaliVaishali
19.4k41030
I just added a picture of my attempt, the dateframe I have has dates as non-null objects. I tried apple_adjclose.loc[apple_adjclose.date.isin(apple_adjclose.date + pd.offsets.BMonthEnd(1))] but it didn't seem to work. GotTypeError: Argument 'other' has incorrect type (expected datetime.datetime, got str)
– Omar
Nov 23 '18 at 3:23
The image doesn't show my solution
– Vaishali
Nov 23 '18 at 3:25
Can you also print apple_stock.dtypes
– Vaishali
Nov 23 '18 at 3:26
added screenshot
– Omar
Nov 23 '18 at 3:30
Your date column is of type object, not datetime. First convert it using df[‘date’] = pd.to_datetime(df[‘date’])
– Vaishali
Nov 23 '18 at 3:50
|
show 4 more comments
converted date from object to datetime then used .asfreq() to get what I needed. Solution can be found here:
Solution
answered Nov 23 '18 at 22:55
OmarOmar
236
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Lets say you have a dataframe like this with two columns,
dates = pd.date_range('01/01/2016', '12/31/2017')
df = pd.DataFrame({'date':dates,'adjclose':np.random.randint(100,200, len(dates))})
You can create an instance of offsets BMonthEnd to get the dates with MonthEnd freq and slice of the dataframe
df.loc[df.date.isin(df.date + pd.offsets.BMonthEnd(1))]
adjclose date
28 128 2016-01-29
59 193 2016-02-29
90 167 2016-03-31
119 185 2016-04-29
151 133 2016-05-31
181 184 2016-06-30
answered Nov 23 '18 at 3:11
VaishaliVaishali
19.4k41030
I just added a picture of my attempt, the dateframe I have has dates as non-null objects. I tried apple_adjclose.loc[apple_adjclose.date.isin(apple_adjclose.date + pd.offsets.BMonthEnd(1))] but it didn't seem to work. GotTypeError: Argument 'other' has incorrect type (expected datetime.datetime, got str)
– Omar
Nov 23 '18 at 3:23
The image doesn't show my solution
– Vaishali
Nov 23 '18 at 3:25
Can you also print apple_stock.dtypes
– Vaishali
Nov 23 '18 at 3:26
added screenshot
– Omar
Nov 23 '18 at 3:30
Your date column is of type object, not datetime. First convert it using df[‘date’] = pd.to_datetime(df[‘date’])
– Vaishali
Nov 23 '18 at 3:50
|
show 4 more comments
Lets say you have a dataframe like this with two columns,
dates = pd.date_range('01/01/2016', '12/31/2017')
df = pd.DataFrame({'date':dates,'adjclose':np.random.randint(100,200, len(dates))})
You can create an instance of offsets BMonthEnd to get the dates with MonthEnd freq and slice of the dataframe
df.loc[df.date.isin(df.date + pd.offsets.BMonthEnd(1))]
adjclose date
28 128 2016-01-29
59 193 2016-02-29
90 167 2016-03-31
119 185 2016-04-29
151 133 2016-05-31
181 184 2016-06-30
answered Nov 23 '18 at 3:11
VaishaliVaishali
19.4k41030
I just added a picture of my attempt, the dateframe I have has dates as non-null objects. I tried apple_adjclose.loc[apple_adjclose.date.isin(apple_adjclose.date + pd.offsets.BMonthEnd(1))] but it didn't seem to work. GotTypeError: Argument 'other' has incorrect type (expected datetime.datetime, got str)
– Omar
Nov 23 '18 at 3:23
The image doesn't show my solution
– Vaishali
Nov 23 '18 at 3:25
Can you also print apple_stock.dtypes
– Vaishali
Nov 23 '18 at 3:26
added screenshot
– Omar
Nov 23 '18 at 3:30
Your date column is of type object, not datetime. First convert it using df[‘date’] = pd.to_datetime(df[‘date’])
– Vaishali
Nov 23 '18 at 3:50
|
show 4 more comments
Lets say you have a dataframe like this with two columns,
dates = pd.date_range('01/01/2016', '12/31/2017')
df = pd.DataFrame({'date':dates,'adjclose':np.random.randint(100,200, len(dates))})
You can create an instance of offsets BMonthEnd to get the dates with MonthEnd freq and slice of the dataframe
df.loc[df.date.isin(df.date + pd.offsets.BMonthEnd(1))]
adjclose date
28 128 2016-01-29
59 193 2016-02-29
90 167 2016-03-31
119 185 2016-04-29
151 133 2016-05-31
181 184 2016-06-30
answered Nov 23 '18 at 3:11
VaishaliVaishali
19.4k41030
Lets say you have a dataframe like this with two columns,
dates = pd.date_range('01/01/2016', '12/31/2017')
df = pd.DataFrame({'date':dates,'adjclose':np.random.randint(100,200, len(dates))})
You can create an instance of offsets BMonthEnd to get the dates with MonthEnd freq and slice of the dataframe
df.loc[df.date.isin(df.date + pd.offsets.BMonthEnd(1))]
adjclose date
28 128 2016-01-29
59 193 2016-02-29
90 167 2016-03-31
119 185 2016-04-29
151 133 2016-05-31
181 184 2016-06-30
answered Nov 23 '18 at 3:11
VaishaliVaishali
19.4k41030
answered Nov 23 '18 at 3:11
VaishaliVaishali
19.4k41030
answered Nov 23 '18 at 3:11
VaishaliVaishali
19.4k41030
answered Nov 23 '18 at 3:11
VaishaliVaishali
19.4k41030
19.4k41030
I just added a picture of my attempt, the dateframe I have has dates as non-null objects. I tried apple_adjclose.loc[apple_adjclose.date.isin(apple_adjclose.date + pd.offsets.BMonthEnd(1))] but it didn't seem to work. GotTypeError: Argument 'other' has incorrect type (expected datetime.datetime, got str)
– Omar
Nov 23 '18 at 3:23
The image doesn't show my solution
– Vaishali
Nov 23 '18 at 3:25
Can you also print apple_stock.dtypes
– Vaishali
Nov 23 '18 at 3:26
added screenshot
– Omar
Nov 23 '18 at 3:30
Your date column is of type object, not datetime. First convert it using df[‘date’] = pd.to_datetime(df[‘date’])
– Vaishali
Nov 23 '18 at 3:50
|
show 4 more comments
I just added a picture of my attempt, the dateframe I have has dates as non-null objects. I tried apple_adjclose.loc[apple_adjclose.date.isin(apple_adjclose.date + pd.offsets.BMonthEnd(1))] but it didn't seem to work. GotTypeError: Argument 'other' has incorrect type (expected datetime.datetime, got str)
– Omar
Nov 23 '18 at 3:23
The image doesn't show my solution
– Vaishali
Nov 23 '18 at 3:25
Can you also print apple_stock.dtypes
– Vaishali
Nov 23 '18 at 3:26
added screenshot
– Omar
Nov 23 '18 at 3:30
Your date column is of type object, not datetime. First convert it using df[‘date’] = pd.to_datetime(df[‘date’])
– Vaishali
Nov 23 '18 at 3:50
I just added a picture of my attempt, the dateframe I have has dates as non-null objects. I tried apple_adjclose.loc[apple_adjclose.date.isin(apple_adjclose.date + pd.offsets.BMonthEnd(1))] but it didn't seem to work. GotTypeError: Argument 'other' has incorrect type (expected datetime.datetime, got str)
– Omar
Nov 23 '18 at 3:23
I just added a picture of my attempt, the dateframe I have has dates as non-null objects. I tried apple_adjclose.loc[apple_adjclose.date.isin(apple_adjclose.date + pd.offsets.BMonthEnd(1))] but it didn't seem to work. GotTypeError: Argument 'other' has incorrect type (expected datetime.datetime, got str)
– Omar
Nov 23 '18 at 3:23
The image doesn't show my solution
– Vaishali
Nov 23 '18 at 3:25
The image doesn't show my solution
– Vaishali
Nov 23 '18 at 3:25
Can you also print apple_stock.dtypes
– Vaishali
Nov 23 '18 at 3:26
Can you also print apple_stock.dtypes
– Vaishali
Nov 23 '18 at 3:26
added screenshot
– Omar
Nov 23 '18 at 3:30
added screenshot
– Omar
Nov 23 '18 at 3:30
Your date column is of type object, not datetime. First convert it using df[‘date’] = pd.to_datetime(df[‘date’])
– Vaishali
Nov 23 '18 at 3:50
Your date column is of type object, not datetime. First convert it using df[‘date’] = pd.to_datetime(df[‘date’])
– Vaishali
Nov 23 '18 at 3:50
|
show 4 more comments
converted date from object to datetime then used .asfreq() to get what I needed. Solution can be found here:
Solution
answered Nov 23 '18 at 22:55
OmarOmar
236
add a comment |
converted date from object to datetime then used .asfreq() to get what I needed. Solution can be found here:
Solution
answered Nov 23 '18 at 22:55
OmarOmar
236
add a comment |
converted date from object to datetime then used .asfreq() to get what I needed. Solution can be found here:
Solution
answered Nov 23 '18 at 22:55
OmarOmar
236
converted date from object to datetime then used .asfreq() to get what I needed. Solution can be found here:
Solution
answered Nov 23 '18 at 22:55
OmarOmar
236
answered Nov 23 '18 at 22:55
OmarOmar
236
answered Nov 23 '18 at 22:55
OmarOmar
236
answered Nov 23 '18 at 22:55
OmarOmar
236
236
add a comment |
add a comment |
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2
Welcome to Stackoverflow. Add some sample data and expected output.
– min2bro
Nov 23 '18 at 2:52
@min2bro Thanks! I just added a picture of my input and output.
– Omar
Nov 23 '18 at 3:14