Python 3.x - Append data to Pandas dataframe using for loop - loops

Question

I have a empty pandas DataFrame:
aqi_df = pd.DataFrame(columns = ["IMEI","Date","pm10conc_24hrs","pm25conc_24hrs","sdPm10","sdPm25","aqi","windspeed","winddirection","severity","health_impact"] )
I want to add elements one by one to each column -
for i in range(1,10):
aqi_df.IMEI.append("a")
aqi_df.Date.append("b")
aqi_df.pm10conc_24hrs.append("c")
.
.
.
But append throws an error
TypeError: cannot concatenate a non-NDFrame object
How can I append elements to pandas dataframe one by one?

Answer 1

IIUC you can use:
aqi_df = pd.DataFrame(columns = ["IMEI","Date","pm10conc_24hrs"] )
print (aqi_df)
for i in range(1,10):
aqi_df.loc[i] = ['a','b','c']
print (aqi_df)
IMEI Date pm10conc_24hrs
1 a b c
2 a b c
3 a b c
4 a b c
5 a b c
6 a b c
7 a b c
8 a b c
9 a b c
But better is creating DataFrame from Series or dict:
IMEI = pd.Series(['aa','bb','cc'])
Date = pd.Series(['2016-01-03','2016-01-06','2016-01-08'])
pm10conc_24hrs = pd.Series(['w','e','h'])
aqi_df = pd.DataFrame({'a':IMEI,'Date':Date,'pm10conc_24hrs':pm10conc_24hrs})
print (aqi_df)
Date a pm10conc_24hrs
0 2016-01-03 aa w
1 2016-01-06 bb e
2 2016-01-08 cc h
aqi_df = pd.DataFrame({'a':['aa','bb','cc'],
'Date':['2016-01-03','2016-01-06','2016-01-08'],
'pm10conc_24hrs':['w','e','h']})
print (aqi_df)
Date a pm10conc_24hrs
0 2016-01-03 aa w
1 2016-01-06 bb e
2 2016-01-08 cc h