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Python dataframe using .apply to replace for loop
2019 Community Moderator ElectionReplacements for switch statement in Python?Calling an external command in PythonWhat are metaclasses in Python?Does Python have a ternary conditional operator?Accessing the index in 'for' loops?How do I loop through or enumerate a JavaScript object?JavaScript closure inside loops – simple practical exampleLoop through an array in JavaScriptIterating over dictionaries using 'for' loopsDoes Python have a string 'contains' substring method?
For python code:
def filtering(price):
global cash , stock,buyPrice,sellPrice, buy_data,sell_data,trade_price,test2
if price.iloc[0] >price.iloc[1] and cash == True:
buyPrice.append(price, ignore_index=True)
cash = False
stock = True
I'm trying to append a dataframe into another data frame.
Then I apply this function into:
toworkdata.apply(filtering)
The thing is, buyPrice gives me nothing in return. why is that so?
python loops dataframe apply
New contributor
add a comment |
For python code:
def filtering(price):
global cash , stock,buyPrice,sellPrice, buy_data,sell_data,trade_price,test2
if price.iloc[0] >price.iloc[1] and cash == True:
buyPrice.append(price, ignore_index=True)
cash = False
stock = True
I'm trying to append a dataframe into another data frame.
Then I apply this function into:
toworkdata.apply(filtering)
The thing is, buyPrice gives me nothing in return. why is that so?
python loops dataframe apply
New contributor
add a comment |
For python code:
def filtering(price):
global cash , stock,buyPrice,sellPrice, buy_data,sell_data,trade_price,test2
if price.iloc[0] >price.iloc[1] and cash == True:
buyPrice.append(price, ignore_index=True)
cash = False
stock = True
I'm trying to append a dataframe into another data frame.
Then I apply this function into:
toworkdata.apply(filtering)
The thing is, buyPrice gives me nothing in return. why is that so?
python loops dataframe apply
New contributor
For python code:
def filtering(price):
global cash , stock,buyPrice,sellPrice, buy_data,sell_data,trade_price,test2
if price.iloc[0] >price.iloc[1] and cash == True:
buyPrice.append(price, ignore_index=True)
cash = False
stock = True
I'm trying to append a dataframe into another data frame.
Then I apply this function into:
toworkdata.apply(filtering)
The thing is, buyPrice gives me nothing in return. why is that so?
python loops dataframe apply
python loops dataframe apply
New contributor
New contributor
edited Mar 7 at 11:22
Eugene
6131615
6131615
New contributor
asked Mar 7 at 11:00
lerenleren
13
13
New contributor
New contributor
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
You have assign new value to the data frame like below
def filtering(price):
global cash , stock,buyPrice,sellPrice, buy_data,sell_data,trade_price,test2
if price.iloc[0] >price.iloc[1] and cash == True:
# Edit here
buyPrice = buyPrice.append(price, ignore_index=True)
cash = False
stock = True
ok.... lemme try it.. thanks
– leren
Mar 7 at 11:06
i got the answer in 1 rows × 2459 columns while i want it to be 2459 rows x 1 columns. why is that so? thank you
– leren
Mar 7 at 11:13
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You have assign new value to the data frame like below
def filtering(price):
global cash , stock,buyPrice,sellPrice, buy_data,sell_data,trade_price,test2
if price.iloc[0] >price.iloc[1] and cash == True:
# Edit here
buyPrice = buyPrice.append(price, ignore_index=True)
cash = False
stock = True
ok.... lemme try it.. thanks
– leren
Mar 7 at 11:06
i got the answer in 1 rows × 2459 columns while i want it to be 2459 rows x 1 columns. why is that so? thank you
– leren
Mar 7 at 11:13
add a comment |
You have assign new value to the data frame like below
def filtering(price):
global cash , stock,buyPrice,sellPrice, buy_data,sell_data,trade_price,test2
if price.iloc[0] >price.iloc[1] and cash == True:
# Edit here
buyPrice = buyPrice.append(price, ignore_index=True)
cash = False
stock = True
ok.... lemme try it.. thanks
– leren
Mar 7 at 11:06
i got the answer in 1 rows × 2459 columns while i want it to be 2459 rows x 1 columns. why is that so? thank you
– leren
Mar 7 at 11:13
add a comment |
You have assign new value to the data frame like below
def filtering(price):
global cash , stock,buyPrice,sellPrice, buy_data,sell_data,trade_price,test2
if price.iloc[0] >price.iloc[1] and cash == True:
# Edit here
buyPrice = buyPrice.append(price, ignore_index=True)
cash = False
stock = True
You have assign new value to the data frame like below
def filtering(price):
global cash , stock,buyPrice,sellPrice, buy_data,sell_data,trade_price,test2
if price.iloc[0] >price.iloc[1] and cash == True:
# Edit here
buyPrice = buyPrice.append(price, ignore_index=True)
cash = False
stock = True
answered Mar 7 at 11:05
Sanjay YadavSanjay Yadav
89210
89210
ok.... lemme try it.. thanks
– leren
Mar 7 at 11:06
i got the answer in 1 rows × 2459 columns while i want it to be 2459 rows x 1 columns. why is that so? thank you
– leren
Mar 7 at 11:13
add a comment |
ok.... lemme try it.. thanks
– leren
Mar 7 at 11:06
i got the answer in 1 rows × 2459 columns while i want it to be 2459 rows x 1 columns. why is that so? thank you
– leren
Mar 7 at 11:13
ok.... lemme try it.. thanks
– leren
Mar 7 at 11:06
ok.... lemme try it.. thanks
– leren
Mar 7 at 11:06
i got the answer in 1 rows × 2459 columns while i want it to be 2459 rows x 1 columns. why is that so? thank you
– leren
Mar 7 at 11:13
i got the answer in 1 rows × 2459 columns while i want it to be 2459 rows x 1 columns. why is that so? thank you
– leren
Mar 7 at 11:13
add a comment |
leren is a new contributor. Be nice, and check out our Code of Conduct.
leren is a new contributor. Be nice, and check out our Code of Conduct.
leren is a new contributor. Be nice, and check out our Code of Conduct.
leren is a new contributor. Be nice, and check out our Code of Conduct.
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