Pulling data from Object into DataFrame
I currently have an class designed to create a historical time series w/ various functions embedded inside. I have created an object that holds a time series and use the code below to print the data held within the object:
for x in myobjectx.ts_data:
print(x.Symbol, x.Date, x.Price)
I am trying to move this data into a dataframe with the code below so that I can run some more analysis on it . When I run the code below, I get a dataframe w/ one column and all the data is various iterations of my object.
Can someone pls advise how to move the data in the object into a dataframe?
df =
for x in myobjectx.ts_data:
df.append(myobjectx.ts_data)
python pandas object dataframe for-loop
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I currently have an class designed to create a historical time series w/ various functions embedded inside. I have created an object that holds a time series and use the code below to print the data held within the object:
for x in myobjectx.ts_data:
print(x.Symbol, x.Date, x.Price)
I am trying to move this data into a dataframe with the code below so that I can run some more analysis on it . When I run the code below, I get a dataframe w/ one column and all the data is various iterations of my object.
Can someone pls advise how to move the data in the object into a dataframe?
df =
for x in myobjectx.ts_data:
df.append(myobjectx.ts_data)
python pandas object dataframe for-loop
add a comment |
I currently have an class designed to create a historical time series w/ various functions embedded inside. I have created an object that holds a time series and use the code below to print the data held within the object:
for x in myobjectx.ts_data:
print(x.Symbol, x.Date, x.Price)
I am trying to move this data into a dataframe with the code below so that I can run some more analysis on it . When I run the code below, I get a dataframe w/ one column and all the data is various iterations of my object.
Can someone pls advise how to move the data in the object into a dataframe?
df =
for x in myobjectx.ts_data:
df.append(myobjectx.ts_data)
python pandas object dataframe for-loop
I currently have an class designed to create a historical time series w/ various functions embedded inside. I have created an object that holds a time series and use the code below to print the data held within the object:
for x in myobjectx.ts_data:
print(x.Symbol, x.Date, x.Price)
I am trying to move this data into a dataframe with the code below so that I can run some more analysis on it . When I run the code below, I get a dataframe w/ one column and all the data is various iterations of my object.
Can someone pls advise how to move the data in the object into a dataframe?
df =
for x in myobjectx.ts_data:
df.append(myobjectx.ts_data)
python pandas object dataframe for-loop
python pandas object dataframe for-loop
asked Nov 21 '18 at 20:15
TonyTony
578
578
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1 Answer
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You can create a pandas DataFrame from list of dicts like that:
df = pd.DataFrame([{'symbol': x.Symbol, 'date': x.Date, 'price': x.Price} for x in myobjectx.ts_data])
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can create a pandas DataFrame from list of dicts like that:
df = pd.DataFrame([{'symbol': x.Symbol, 'date': x.Date, 'price': x.Price} for x in myobjectx.ts_data])
add a comment |
You can create a pandas DataFrame from list of dicts like that:
df = pd.DataFrame([{'symbol': x.Symbol, 'date': x.Date, 'price': x.Price} for x in myobjectx.ts_data])
add a comment |
You can create a pandas DataFrame from list of dicts like that:
df = pd.DataFrame([{'symbol': x.Symbol, 'date': x.Date, 'price': x.Price} for x in myobjectx.ts_data])
You can create a pandas DataFrame from list of dicts like that:
df = pd.DataFrame([{'symbol': x.Symbol, 'date': x.Date, 'price': x.Price} for x in myobjectx.ts_data])
answered Nov 21 '18 at 21:08
TevadrosTevadros
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